PhD Scholarships in Improved SOEC Durability Using Dynamic Electrochemical Balanced Operation at Aalborg University

PhD at Aalborg University Denmark

Aalborg University plays a significant role in enhancing global society's knowledge base and advancing the prosperity, welfare, and cultural development of Danish society. This is achieved through engaging in research, providing education based on research findings, delivering services to the public sector, and fostering collaborative knowledge-sharing endeavors. AAU prepares students for the future, emphasizing a dynamic and transformative partnership with the surrounding community as the foundation for its activities.

PhD Project Description

The position relates to the "Electro-Fuels" research program, and the Postdoc will be placed in the "Thermal Engineering" section.

The research falls under CAPeX, a 13-year, 300 MDKK "Pioneer Center for Accelerating P2X Materials Discovery" funded by various foundations and hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU). CAPeX brings together experts from multiple Danish universities and international partners to create a pioneering center focused on P2X. More information on CAPeX research themes, organization, and other available PhD and postdoc positions can be found at http://www.capex-p2x.com.

This project focuses on solid oxide electrolysis cell (SOEC) technology, which offers exceptional efficiencies but is susceptible to degradation at high current densities. Experimental results indicate that overlaying a constant current with an alternating one (AC:DC) can significantly extend cell lifetimes, expediting the transition to more efficient technologies. The project involves building a model of SOEC cells to gain fundamental understanding of the processes that increase their lifetime. This will contribute to the development of a multi-scale model, spanning from materials to systems, in collaboration with a team of experts working on different technologies. The goal is to predict the optimal operating conditions, both technically and economically, for a system utilizing the AC:DC mode of operation.

PhD Requirements

The applicant must provide and upload a proper project description, which describes the applicants initial thoughts and ideas related to the specific project applied for. This includes a brief state-of-the-art(including short list of references), a time schedule and how the applicant intends to shed light on the project objectives. The project description should have a length of not more than 4-5 pages.

Moreover, knowledge of materials science through university level courses or project work is preferred. Furthermore, the candidate should be highly motivated and willing to work in a team. Good communication skills in both spoken and written English are  requirements 

You may obtain further professional information from Professor Søren Højgaard Jensen,+45 2132 7932,shje@aau.et.dk. 

PhD Benefits

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

How to Apply

When applying, you must indicate if you have also applied for other positions in the 2023 CAPeX cohort call. When relevant, you are encouraged to do so, and please indicate which positions you have applied for.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link"Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application(cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma
• Excel sheet with translation of grades to the Danish grading system
• Publications(if applicable)

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. You may apply prior to obtaining your PhD's degree but cannot begin before having received it. 

Read more about AAU at www.aau.dk.

Read more about the AAU Energy at www.energy.aau.dk. 

Read more about the CAPeX Pioneer Center at http://www.capex-p2x.com.

The application is only to be submitted online by using the"Apply online" button below. Please be notified that application deadline is 27 June 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Ref number is 14-23050

PhD Scholarships in The Consequences of IT Software Updates on Healthcare Network at Aalborg University

PhD at Aalborg University Denmark

The Department of Planning at the Technical Faculty of IT and Design offers a PhD stipend in the field of Planning and Development within their general study programme. The stipend can be filled starting from 1 September 2023 or shortly thereafter. The department engages in comprehensive research and education related to various aspects of development and planning. This includes both social science and technical dimensions, with a particular emphasis on environmental, international, and administrative aspects.

PhD Project Description

Electronic health records (EHR) are vital for the healthcare system, serving as key platforms for generating and sharing healthcare data among different professionals and stakeholders. EHR systems undergo regular updates to meet the evolving needs of healthcare providers. However, the impact of these continuous updates on healthcare professionals' work practices remains largely unexplored.

This PhD project aims to examine how healthcare professionals' practices are influenced by updates in new EHR releases and how ongoing innovation occurs. By considering humans and technology as co-shaping entities, the project will investigate the significance of EHR software updates in the daily work of healthcare professionals.

The selected candidate will join the "Techno-anthropology and participation" research group.

PhD Requirements

The applicant must have experience with socio-technical analyses

• Proficiency in Danish and English
• Insights into the domain of health information systems.

You may obtain further information from Professor Christian Nøhr atcgn@plan.aau.dk concerning the scientific aspects of the stipend.

PhD Benefits

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

How to Apply

The application is only to be submitted online by using the"Apply online" button below. Please be notified that application deadline is 28 June 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Ref number is 20-23048

PhD in Power Electronic Converter (PEC) for Electrolyzer with High Current and Low Voltage at Aalborg University

PhD at Aalborg University Denmark

Aalborg University plays a significant role in enhancing global society's knowledge base and advancing the prosperity, welfare, and cultural development of Danish society. This is achieved through engaging in research, providing education based on research findings, delivering services to the public sector, and fostering collaborative knowledge-sharing endeavors. AAU prepares students for the future, emphasizing a dynamic and transformative partnership with the surrounding community as the foundation for its activities.

PhD Project Description

The position is available for the research program "Power Electronics Packaging Materials and Emerging Applications." The PhD student will be placed in the "Power Electronics System Integration and Materials" section.

An Indo-Danish project called ECoGrif, funded by Innovation Fund Denmark, seeks to develop a cost-effective, efficient, and grid-friendly power electronic converter (PEC) for large-scale power electrolysers used in hydrogen production. The project consists of six work packages, facilitating collaboration between industry and university partners in both Denmark and India.

In WP4 of the project, a large-scale PEC demonstrator will be built at AAU during the second year. Some commercially available components of the PEC subsystem may be outsourced to expedite prototyping. The controller developed by IIT-M for a small-scale demonstrator in WP3 will be integrated into the large-scale prototype. Testing and hardware validation of the PEC with implemented control will be conducted at AAU's power electronics laboratory.

PhD Requirements

Candidate must have obtained an MsC degree including topics of power electronics and control. Interested in learning and obtaining training in power electronics to a level the project goals of the PEC design and hardware build-up can be reached.

The applicant must provide and upload a proper project description, which describes the applicant initial thoughts and ideas related to the specific project applied for. This includes a brief state-of-the-art(including a short list of references), a time schedule and how the applicant intends to shed light on the project objectives. The project description should have a length of 4-5 pages.

You may obtain further professional information from Professor Stig Munk-Nielsen, by phone 0045 9940 9242 and by email:smn@energy.aau.dk.

PhD Benefits

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

How to Apply

The application is only to be submitted online by using the"Apply online" button below. Please be notified that application deadline is 30 June 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Ref number is 14-23043

04 PhD Scholarships at Linkoping University Sweden in 2023

Linköping University is a renowned Swedish university that is recognized for its high-quality education, cutting-edge research, and innovative approach. With a strong emphasis on interdisciplinary studies, the university offers a wide range of programs across various fields, including natural sciences, engineering, social sciences, and humanities. Linköping University is known for its vibrant research environment and close collaboration with industry, promoting practical applications of knowledge. The university provides students with a dynamic and inclusive learning environment, fostering creativity, critical thinking, and global perspectives.

01.  PhD Scholarship in Chemistry

The doctoral candidate will actively engage in a research endeavor centered around wastewater-based epidemiology, investigating the presence of illegal drugs and environmental contaminants through the use of high-resolution mass spectrometry combined with chromatography. The project will involve developing analytical techniques for targeted, suspected, and non-targeted analyses of wastewater samples.

Deadline: 07 August 2023 (view details and apply)

02. PhD Scholarship in Analytical Sociology

Approximately 900 million people, with one-third residing in Africa, experience extreme poverty. Development agencies have implemented various projects aimed at breaking the cycles of deprivation, commonly referred to as "poverty traps." However, due to a lack of comprehensive poverty data, scholars face challenges in understanding the existence of poverty traps and the effectiveness of interventions in overcoming them.

Deadline: 13 June 2023 (view details and apply)

03. PhD Scholarship in Software Engineering WASP Graduate School

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

Deadline: 12 June 2023 (view details and apply)

04. PhD Scholarship in Reinforcement Learning for Control of Partially Observable Dynamical Systems at Linkoping University

Linköping University is conducting research in control-related areas such as sensor fusion, learning methods, and optimization. We are seeking a PhD student to focus on the intersection of reinforcement learning and control theory. Project Summary: Reinforcement Learning (RL) offers a comprehensive framework for controlling dynamic systems, from sensory input to control output. RL has demonstrated remarkable performance, surpassing human champions in strategic games. This project aims to explore, analyze, and develop RL algorithms for controlling partially observable dynamic systems.

Deadline: 11 June 2023 (view details and apply)

PhD Student in Reinforcement Learning for Control of Partially Observable Dynamical Systems at Linkoping University

  

PhD at Linkoping University

Ref IFM-2023-02171

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in automatic control with specialization within reinforcement learning for control of partially observable dynamical systems.

PhD Project

Linköping University is conducting research in control-related areas such as sensor fusion, learning methods, and optimization. We are seeking a PhD student to focus on the intersection of reinforcement learning and control theory.

Project Summary: Reinforcement Learning (RL) offers a comprehensive framework for controlling dynamic systems, from sensory input to control output. RL has demonstrated remarkable performance, surpassing human champions in strategic games. This project aims to explore, analyze, and develop RL algorithms for controlling partially observable dynamic systems. The research will focus on the following directions:

• Investigating and quantifying the impact of partial observability, noise, and uncertainty.
• Exploring efficient utilization of data in RL algorithms, including model-free and model-building approaches.
• Developing effective algorithms specifically tailored for partially observable dynamic systems.
• The objective is to combine control theory with recent advancements in RL to create algorithms that efficiently utilize sensor data. The potential use of Kalman filters and model-free observers will also be explored.

This position is part of the Zenith project titled "Reinforcement Learning for partially observable dynamical systems with continuous state and action spaces". For further details about the project, please refer to the provided link.

As a PhD student, the majority of your time will be dedicated to doctoral studies and the research projects you are involved in. There may also be opportunities for teaching or other departmental responsibilities, which will not exceed 20% of a full-time workload.

PhD Qualification

You have graduated at Master’s level in electrical engineering, computer science, engineering physics, applied mathematics or similar, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the same topics. Alternatively, you have gained essentially corresponding knowledge in another way.

We are looking for an enthusiastic and ambitious candidate with the following qualifications:

• Solid background in control theory
• Knowledge of reinforcement learning
• Solid programming skills
• Great communication skills and proficiency in English

PhD Benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

How to Apply

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 11 June 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. For further information related to the PhD, please visit this Scholarship Link.

PhD Student in Software Engineering WASP Graduate School at Linkoping University

  

PhD at Linkoping University

Ref IFM-2023-00136

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: wasp-sweden.org

PhD Project

Data science teams often consist of machine learning (ML) researchers and practitioners from different backgrounds, lacking expertise in writing high-quality ML software. However, disregarding software quality practices leads to ML programs that are hard to maintain, inefficient, and lack modularity. Unlike traditional software, ensuring code quality in ML is more challenging as issues may persist for a long time without being detected, requiring significant time and effort to uncover. Code smells, which are poor code design choices that violate software engineering best practices, are a specific concern as they negatively impact various quality aspects like maintainability and scalability.

This PhD project aims to develop efficient techniques and scalable software tools to automatically detect and eliminate different types of code anti-patterns in complex ML programs. The project combines graph-based detection methods with machine learning solutions to ensure critical anti-patterns are always identified while minimizing false alarms.

Your involvement in this project will include contributing to the development and maintenance of a related open-source software project, collaborating closely with researchers and graduate students from Sweden, Canada, and Hungary.

As a PhD student, your primary focus will be on doctoral studies and research projects. There may also be opportunities for teaching or other departmental duties, up to a maximum of 20% of full-time commitment.

PhD Qualification

You have graduated at Master’s level in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Software Engineering or Computer Science. Alternatively, you have gained essentially corresponding knowledge in another way.

As an applicant, you must have very good software engineering and/or machine learning skills and mathematical maturity. You shall also have very good English skills, both orally and in writing to facilitate publication at leading scientific venues of software engineering and/or machine learning. Early research experience during master’s or undergraduate studies is further advantageous.

PhD Benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

How to Apply

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 12 June 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. For further information related to the PhD, please visit this Scholarship Link.

PhD Student in Analytical Sociology at Linkoping University

 

PhD at Linkoping University

Ref IFM-2023-00283

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in Analytical Sociology

PhD Project

Approximately 900 million people, with one-third residing in Africa, experience extreme poverty. Development agencies have implemented various projects aimed at breaking the cycles of deprivation, commonly referred to as "poverty traps." However, due to a lack of comprehensive poverty data, scholars face challenges in understanding the existence of poverty traps and the effectiveness of interventions in overcoming them.

The Observatory of Poverty project seeks to address the data challenge by developing new methods to produce geo-temporal poverty data. Our AI and Global Development Lab is already working on this challenge, and the prospective candidate will join the team to utilize this data for evaluating the impact of local development programs using a causal-inference design.

The candidate will contribute to the project's goal of assessing the extent to which African communities are trapped in poverty and how different development interventions affect their ability to break free from deprivation. The project will focus on the following objectives:

• Investigate how World Bank (WB) development programs and Chinese programs select African communities and their impact on breaking the cycle of deprivation, utilizing the data from Objective 1.
• Develop theories on the various forms of poverty traps by examining their prevalence in different social contexts, which influence local governance and public-service provisioning. The study will explore the relative significance of these contexts in Chinese- or WB-styled projects.

PhD Qualification

To be eligible for the PhD program, you need a postgraduate degree (MA or equivalent) in a relevant social science or data/computational science.

Proficiency in English, both written and spoken, is essential for the PhD studies as the program operates in an international research environment. The courses and seminars are conducted in English, and Swedish language skills are not required. The PhD student is expected to primarily work at the IAS campus in Norrköping, Linköping University, but should also be able to spend some time at project partner institutions.

We encourage applicants from diverse social science disciplines, including sociology, economics, political science, development studies, data science, and social epidemiology. Various sub-fields are also welcome, such as computational social science, political economy, economic sociology, development economics, social determinants of health, poverty, inequality, global issues, sustainable development, and methodology. For candidates interested in methodology, we can customize the position to focus on methodological development for causal inference within the listed objectives.

Regardless of academic background, to contribute to this research, the candidate should posses the following skills and experiences:

• Excellent communication skills in written and spoken English.
• Excellent coding skills in R, Python, or equivalent language.
• Research interest in causal inference (see e.g., Morgan and Winship, 2014, Counterfactuals and Causal Inference or Imbens and Rubin, 2015, Causal Inference for Statistics, Social, and Biomedical Sciences, or Pearl, 2016, Causal Inference in Statistics)

Desirable skills and experience include:

• Working with temporal and geographical data (or willingness to learn using such data).
• Experience in using machine learning models is welcomed (or willingness to learn using such models).
• Research interest in global development, poverty, inequality, or governance, international institutions, Chinese politics, World Bank, social demography, political sociology, or political economy.

PhD Benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

How to Apply

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 13 June 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. For further information related to the PhD, please visit this Scholarship Link.

PhD Student in Chemistry at Linkoping University

PhD at Linkoping University

Ref IFM-2023-00203

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in Chemistry

PhD Project

The doctoral candidate will actively engage in a research endeavor centered around wastewater-based epidemiology, investigating the presence of illegal drugs and environmental contaminants through the use of high-resolution mass spectrometry combined with chromatography. The project will involve developing analytical techniques for targeted, suspected, and non-targeted analyses of wastewater samples. Additional responsibilities encompass establishing a systematic laboratory workflow that incorporates pertinent information, planning and executing field sampling, maintaining analytical instruments, performing chemical analyses, analyzing data, and disseminating the findings.

As a PhD student, the majority of your time is dedicated to pursuing doctoral studies and participating in relevant research projects. There may also be opportunities for teaching or fulfilling departmental responsibilities, although these duties will not exceed 20% of a full-time workload.

PhD Qualification

To be eligible for this position, you should possess a Master's degree in Chemistry or have completed coursework equivalent to at least 240 credits, with a minimum of 60 credits in advanced Chemistry courses. Alternatively, if you have acquired equivalent knowledge through alternative means, that would also be considered.

The ideal candidate must have a strong understanding of organic analytical chemistry and practical experience in chromatography and mass spectrometry analysis. Familiarity with organic sample preparation and extraction techniques would be advantageous. Additionally, proficiency in programming languages such as R or Python for data processing and analysis would be highly beneficial.

Creativity, flexibility, and a strong analytical mindset are important qualities for the successful candidate, along with a solid theoretical foundation. Proficiency in both written and spoken English is a mandatory requirement. The selection criteria also include assessing interpersonal skills, the ability to collaborate effectively, and the overall aptitude and suitability required to fulfill the responsibilities of the role efficiently.

PhD Benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

How to Apply

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 7 August, 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. For further information related to the PhD, please visit this Scholarship Link.

PhD Scholarship as part of an ARC DECRA project, "Exploring the digital divide in the ageing migrant’s personal home"

PhD Benefits

Duration: 3.5-year fixed-term appointment

Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $33,000 AUD per annum 2023 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures. A tuition fee scholarship and Single Overseas Health Cover (OSHC) will be provided for a successful international awardee.

• Be inspired, every day
• Drive your own learning at one of the world’s top 80 universities
• Take your career in exciting, rewarding directions

PhD Project

This PhD scholarship is part of an ARC funded project called "Exploring the digital divide in the ageing migrant’s personal home" led by Dr. Earvin Charles Cabalquinto. The project will investigate the experiences of ageing migrants in using digital communication technologies and online platforms in their personal homes. It will use ethnography and visual methods to understand the role of migrants' relationships with local and transnational networks in shaping their experiences in digital environments. The successful applicant will join the research team, conduct their own PhD project, and work with Chinese, Indian, and Indonesian migrant communities in Australia. They will collect and analyze data on how social, cultural, political, economic, and technological factors impact the digital divide among ageing migrants. The PhD project will involve engaging with 10-15 migrants and their family members in Melbourne, Australia, and their home countries. The candidate will receive funding for fieldwork, transcription, travel, and conference attendance, as well as supervision and mentorship from experienced researchers. The candidate will also have opportunities for co-authorship, symposia, school-engagement exercises, and future grant applications.

Candidate Requirements

The successful applicant will have an excellent academic track record in Social Science. Competence in qualitative research methods, particularly multi-sited ethnography and visual methods (photo elicitation, photo documentation, and videography), is desirable.  

In its assessment, the selection committee will prioritise applicants who hold an Australian (or equivalent international) Honour’s or Master’s degree (both in a relevant field), with a significant research component and with first-class honours/H1 awarded.

Details of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at www.arts.monash.edu/graduate-research/application-process.

Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply.

This scholarship is open to domestic and international applicants. Scholarship holders must be enrolled full-time and on campus.

Please note: Applicants who already hold a PhD will not be considered.

The successful applicant will be expected to enrol by October 2023. However, there may be some flexibility as to the date of commencement.

How to Apply

Dr Earvin Charles Cabalquinto, School of Media, Film and Journalism, earvin.cabalquinto@monash.edu

Submit an Expression of Interest

EOIs shall comprise:

• A cover letter that includes a brief statement of the applicant’s suitability
• A brief research proposal not exceeding 750 words in length that fits within the broad project aims and objectives, and demonstrates some understanding of the area of research
• A curriculum vitae, including a list of any published works, conference presentations and relevant work experience
• A full statement of academic record, supported by scanned copies of relevant certified documentation
• English language proficiency test results (if applicable)
• Contact details of two academic referees
• Copy of your current passport (if available)
• Once you have discussed your EOI with Dr Earvin Charles Cabalquinto, please submit your Expression of Interest Form and indicate that you are applying for “Special Scholarship Scheme – PhD Scholarship as part of an ARC DECRA project in Exploring the digital divide in the ageing migrant’s personal home”.

Shortlisted candidates will be interviewed by Zoom video call. The interviews will be conducted in English. Please be notified, the closing date is on 25 June 2023

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08 PhD Scholarships at University of Zurich Switzerland

 

The University of Zurich, located in Zurich, Switzerland, is one of the leading research universities in Europe. It was founded in 1833 and has since established itself as a prestigious institution renowned for its academic excellence and contributions to various fields of knowledge. The university offers a wide range of undergraduate and graduate programs across faculties such as Arts, Law, Medicine, Science, and Business, providing students with diverse educational opportunities. With a strong emphasis on research, the University of Zurich attracts top scholars and scientists, fostering an environment conducive to innovation and intellectual growth. It maintains collaborations with international institutions and encourages interdisciplinary approaches to address complex global challenges. The university's commitment to excellence in teaching and research, combined with its rich history and vibrant academic community, make it an esteemed institution for both domestic and international students seeking a high-quality education.

01. PhD Degree in Materials of Organic and Inorganic Chemistry

We are seeking candidates who have an interest in either of these subjects. Depending on the chosen area of focus, the PhD student will have the chance to acquire expertise in various areas, including catalyst and ligand design, multistep organic synthesis, coordination chemistry (including the synthesis of highly reactive compounds), transition metal catalysis, supramolecular chemistry, and the chemistry of organic materials.

Deadline: Open until filled (View details & Apply)

02. PhD Degree in Infancy and Childhood

The project specifically examines the development of language skills in multilingual children during early childhood. Previous studies have demonstrated variations in the communicative abilities and adaptability between monolingual and multilingual children. The proposed research project aims to delve deeper into these differences observed in early childhood (ages 0 to 6) and explore the underlying mechanisms. Various methodologies including behavioral analysis, eye tracking, and electroencephalography (EEG) may be employed to investigate this topic.

Deadline: open until filled (View details & Apply)

03. PhD Degree in Palliative Care within Doctoral Program of Clinical Science

This PhD project focuses on investigating the influence of lifetime exposure to stress and neuro-inflammatory sensitivity on the psychobiological adjustment of individuals who care for cancer patients and subsequently experience bereavement. The objective is to identify patterns of individual variations in long-term adjustment to loss by examining psychological and biological markers over time.

Deadline: open until filled (View details & Apply)

04. PhD Degree in Multimodal Behavioral Pattern Recognition using Machine Learning

The PhD position is offered as part of an innovative research endeavor called "Computational analysis of personal identity in interaction: Recognition and ethics - CAPIRE" at the Digital Society Initiative and the Department for Computational Linguistics, University of Zurich. This interdisciplinary project is dedicated to advancing computational models for analyzing personal identity through the examination of multimodal communication signals, including speech, gestures, and facial expressions. The research will entail the analysis of extensive datasets of human interaction data, utilizing cutting-edge machine learning techniques to detect distinct patterns indicative of individual identity.

Deadline: open until filled (View details & Apply)

05. PhD Degree in The Area of Instructional Design

This project explores the potential advantages of incorporating digital learning materials into classrooms and emphasizes the significance of fulfilling students' fundamental psychological needs, namely autonomy, competence, and connectedness, to enhance motivation during the learning process. Researchers involved in this project will design and conduct experiments in secondary school classrooms to examine how different design options for digital learning media can positively impact the perception of these psychological needs, and whether a positive perception results in enhanced learning outcomes.

Deadline: open until filled (View details & Apply)

06. PhD Degree in The Development of Quantitative Method of Business Administration

The primary objective of the Quantitative Business Administration Chair is to enhance decision-making processes through the advancement of quantitative techniques. Our main focus within the realm of methodology lies in the field of mathematical optimization, specifically in areas such as integer programming, combinatorial optimization, bilevel optimization, and optimization under uncertain conditions.

Deadline: open until filled (View details & Apply)

07. PhD Degree in Automatic Sign Language Processing

The improvement of machine translation for sign languages holds great importance for both Swiss and international communities. While translation technology is readily available for hearing individuals in their daily lives, such tools are currently unavailable for Deaf sign language users. In order for Deaf individuals to fully participate in a digital society, it is essential that they have access to translation technology. The project operates at the intersection of computer science, linguistics, and accessibility studies, resulting in a highly interdisciplinary approach.

Deadline: open until filled (View details & Apply)

08. PhD Degree in Immunology

The aim is to identify the fungal secreted products that trigger and regulate the Th17 and γδT17 antifungal response. To accomplish this, you will utilize mouse models that simulate skin fungal commensalism as well as atopic dermatitis. Additionally, you will perform experiments using cell cultures. The project will require the application of various approaches such as immunology, microbiology, genetics, transcriptomics, and biochemistry.

Deadline: open until filled (View details & Apply)

PhD Position in Materials within Organic and Inorganic Chemistry at University of Zurich

PhD Project

Prof. Dr. Ilija Čorić's research group is looking for a Ph.D. Student candidate. The group performs research in two directions:

• spatial anion control for mild and site-selective C–H activation (see J. Am. Chem. Soc. 2020, 142, 19040. and Angew. Chem. Int. Ed. 2022, 61, e202205470.)
• directional ionic bonds for supramolecular and materials chemistry (see J. Am. Chem. Soc. 2023, doi: 10.1021/jacs.3c01030.)

We are seeking candidates who have an interest in either of these subjects. Depending on the chosen area of focus, the PhD student will have the chance to acquire expertise in various areas, including catalyst and ligand design, multistep organic synthesis, coordination chemistry (including the synthesis of highly reactive compounds), transition metal catalysis, supramolecular chemistry, and the chemistry of organic materials.

PhD Requirements

Candidates must hold a Bachelor/Master in organic or inorganic chemistry and possess a good knowledge of English language.

What we offer

• opportunity to work in different areas of chemistry as listed above
• training in the experimental techniques by Prof. Čorić
• new labs and a new chemistry building offer excellent infrastructure and equipment
• highly international environment
• teaching experience by supervising BSc students in practical lab courses
• supervision of BSc and MSc theses
• additional opportunities to gain experience in computational chemistry (see the publications listed above)

How to apply

Employment starts on 1st September 2023. Applications must include a cover letter, CV, research summary, transcripts of grades, and contact details of referees (all in pdf format).

For further information, please contact Prof. Dr. Ilija Coric, via ilija.coric@chem.uzh.ch.

PhD Position in Infancy and Childhood at University of Zurich

PhD at University of Zurich

The Chair of Developmental Psychology: Infancy and Childhood (Prof. Dr. Moritz Daum) offers a position in the field of multilingual language development (initially limited to 2 years) for a doctoral student starting August 1, 2023 or by agreement.

PhD Project

The chair's research area centers around the cognitive and social development during infancy and childhood. The project specifically examines the development of language skills in multilingual children during early childhood. Previous studies have demonstrated variations in the communicative abilities and adaptability between monolingual and multilingual children. The proposed research project aims to delve deeper into these differences observed in early childhood (ages 0 to 6) and explore the underlying mechanisms. Various methodologies including behavioral analysis, eye tracking, and electroencephalography (EEG) may be employed to investigate this topic.

Your responsibilities are:

Scientific qualification (PhD); cumulative, quantitative with cross-sectional and possibly longitudinal analyses. This contains:

• Conception, implementation and organization of the dissertation project under the guidance of a senior researcher
• Conception of the research project derived from previous literature
• Contacting and recruiting study participants
• Coordination of personnel, resources and infrastructure
• Data collection and analysis
• Presentation of results (writing of scientific manuscripts, presentation at internal laboratory meetings and national/international conferences)
• Writing scientific articles and publishing them in international peer-reviewed journals and according to open science practices
• Assisting in the communication of research results to the general public

Supervision of master students and teaching.

PhD Requirements

• Very good master's degree in psychology, cognitive neuroscience, data science, linguistics, or similar field
• Strong research interest in quantitative research methods
• Strong interest in issues related to developmental psychology in early childhood, especially early multilingual development
• Strong interest in data organization and statistical analysis
• Strong interest in pursuing an academic career
• Very good knowledge of research methods and statistics as well as computer application skills (MS Office, R)
• Very good written and spoken German and English language skills
• Efficient, flexible, self-organized and self-reliant working style
• Competence in the exchange of ideas in an interdisciplinary team
• Very good social and communication skills in dealing with children, including their families

What we offer

• Embedding in a multidisciplinary, highly committed team
• Opportunity to present research findings at national and international conferences
• International research contacts
• Salary and employment conditions according to cantonal guidelines

How to Apply

August 1, 2023 or by arrangement.

Applications consist of the usual documents (CV, references, letter of motivation), the contact addresses of one or two references (e.g. Master's thesis supervisor) and a 1 to 2 page career plan. This should include highlights of previous research as well as your plans after the dissertation. Please send your application electronically only in one summarized PDF format to Ines Florin (i.florin@psychologie.uzh.ch) by 31/05/2023. The position will remain advertised until filled.

PhD Position in Palliative Care within Doctoral Program Clinical Science at University of Zurich

PhD at University of Zurich

The Competence Center Palliative Care offers specialized medical support for adult patients facing advanced, incurable illnesses. This center provides valuable assistance throughout all stages of the illness, aiming to enhance the tolerability of medical treatments in the early phases and subsequently alleviate suffering as individuals cope with life-threatening conditions. The center also assists in navigating challenging treatment decisions and endeavors to improve the overall quality of life for both patients and their caregivers. Our team of palliative care professionals includes doctors, nurses, psychologists, chaplains, and social workers. Additionally, our department conducts extensive research in the field of palliative care, encompassing a wide range of topics, including psychosocial and biological aspects, in patients with advanced incurable diseases and their caregivers.

PhD Project

As part of this role, you will engage in research projects that specifically address issues concerning the burden experienced by caregivers and the distress associated with bereavement. The death of a spouse is widely recognized as one of the most challenging and impactful life events, often linked to an increased risk of health problems and premature mortality. This PhD project focuses on investigating the influence of lifetime exposure to stress and neuro-inflammatory sensitivity on the psychobiological adjustment of individuals who care for cancer patients and subsequently experience bereavement. The objective is to identify patterns of individual variations in long-term adjustment to loss by examining psychological and biological markers over time. Additionally, the study aims to pinpoint psychological and biological markers that indicate individuals who are at the highest risk of encountering adverse health outcomes following bereavement. Your primary task will involve writing a dissertation comprised of research papers suitable for publication in respected, peer-reviewed journals. Furthermore, you will have opportunities to present your research at both national and international conferences. Additionally, you will have the chance to participate in the PhD program in Clinical Science and contribute to teaching activities.

PhD Requirements

You have gained a Master's degree in Clinical Psychology or Medicine with excellent grades. You have proficient language skills in English language. We expect a self-dependent personality with a strong interest in psychoneuroimmunology and palliative care research, and who shows extraordinary initiative and motivation.

What we offer

Our program dedicated to studying palliative care values the collaboration of experts from various disciplines. The PhD position is guaranteed for a duration of three years, with an annual salary of approximately CHF 47,000 gross in the first year, increasing to CHF 50,000 gross in the third year. For clinical psychologists or medical doctors, there is an opportunity to allocate 20% of their working time towards clinical practice while serving as a PhD student. The PhD program in Clinical Science offers an engaging curriculum that focuses on developing skills in Epidemiology and Biostatistics. Additionally, a range of supplementary courses such as academic writing and presentation skills are available.

How to Apply

The preferred employment start date is 1 September 2023 or to be mutually agreed. Please submit your application by July 1st, 2023. Interviews with candidates are scheduled for mid-July 2023.

For further information related to the scholarship please visit the Scholarship Link, and for submitting your application process via Online Application System, kindly visit the apply button below. You will be directed to PD. Dr. Phil Annina Seiler

PhD Position in Multimodal Behavioral Pattern Recognition using Machine Learning at University of Zurich

PhD at University of Zurich

Join the University of Zurich and contribute to groundbreaking research in AI-based person identification through behavioral biometrics.

We are searching for a driven and skilled individual to join our research team as a PhD student, specializing in the analysis of person identification utilizing communication signals such as speech, gestures, and facial expressions, all supported by artificial intelligence. The selected candidate will have the opportunity to work on an engaging and demanding research project focused on the development of advanced AI algorithms specifically designed for person identification analysis using communication signals.

PhD Project

The PhD position is offered as part of an innovative research endeavor called "Computational analysis of personal identity in interaction: Recognition and ethics - CAPIRE" at the Digital Society Initiative and the Department for Computational Linguistics, University of Zurich. This interdisciplinary project is dedicated to advancing computational models for analyzing personal identity through the examination of multimodal communication signals, including speech, gestures, and facial expressions. The research will entail the analysis of extensive datasets of human interaction data, utilizing cutting-edge machine learning techniques to detect distinct patterns indicative of individual identity.

As a PhD student within this project, you will be immersed in a dynamic and supportive research environment that highly values the contributions and professional growth of young scholars.

Your responsibilities are:

• Collection of data representing naturally occurring human interactions in collaboration with other team members.
• Processing speech, gesture and mimics using state-of-the-art speech analysis and computer vision tools and analyzing biometric information in each signal using machine learning methods.
• Writing cumulative doctoral dissertation describing results, composed of at least three peer-reviewed scientific articles.
• Collaborate with team members and other researchers and institutions.
• Participate in international conferences and public outreach activities.

The doctoral project will be co-supervised by Prof. Dr. Volker Dellwo and Dr. Teodora Vuković.

PhD Requirements

• Master's degree in the field of computer science, statistics, artificial intelligence, computational linguistics, computer vision, biometrics, biomechanics, acoustics, or related field.
• Strong programming skills, with experience in Python and deep learning frameworks.
• Strong background in machine learning, signal processing, and statistics.
• Strong analytical and problem-solving skills.
• Experience in natural human data collection is a plus.
• Interest in behavioral pattern recognition and analysis of human interaction.
• Interest in developing innovative research methods and approaches.
• The ability to work independently as well as in a team.
• Excellent written and verbal English competence.

What we offer

• Four-year PhD funding.
• DSI PhD Excellence Program - highly successful PhD program with graduates at top-rated institutions worldwide
• The opportunity to work with leading experts in the field in an inspiring interdisciplinary and international working environment.
• Excellent working conditions with state-of-the-art facilities at the University of Zurich.
• The opportunity to participate in international conferences and workshops.
• The opportunity to live in Zurich, one of the world's most attractive cities
• Pay rates for PhD candidates are based on the standards set by SNSF.

How to Apply

Applications will be reviewed on a rolling basis starting from May 2023 until the position is filled. Please submit your application via the link to the online application tool only. The position will start in October 2023.

Please submit your application containing your CV, university transcripts (include additional education or coursework if applicable), short letter of motivation (max. 2 pages A4), link to writing / research sample and contact information for at least two references.

We encourage applications from women and ethnic minorities.

Job position: Dr. Teodora Vuković and Prof. Dr. Volker Dellwo. Contact: teodora.vukovic2@uzh.ch

PhD Program: Dr. Sascha Vollmin

Department manager: Alexandra Bünzli, lic. phil.

PhD Student in The Development of Quantitative Method of Business Administration at University of Zurich

PhD at University of Zurich

The primary objective of the Quantitative Business Administration Chair is to enhance decision-making processes through the advancement of quantitative techniques. Our main focus within the realm of methodology lies in the field of mathematical optimization, specifically in areas such as integer programming, combinatorial optimization, bilevel optimization, and optimization under uncertain conditions.

Project Description

You are responsible to:

• Developing, managing, and publishing research projects
• Assisting in teaching activities
• Supervise Bachelor and Master theses

PhD Requirements

• Candidates should have a strong background in Operations Research, Operations Management, Optimization, Industrial Engineering, (Applied) Mathematics, or a related quantitative field.
• The PhD student candidates should have or be close to completing a master's degree in one of the fields stated above.
• Solid knowledge of optimization techniques and/or stochastic processes
• Good programming knowledge and skills
• Strong motivation for scientific research and teaching
• Good organizational and communication skills
• Reliable team players
• Advanced English language skills

What We Offer

• The opportunity to work on cutting-edge research projects
• Interesting work as part of a dynamic team in a friendly working environment
• The possibility to interact with internationally renowned scientists
• A highly competitive salary in accordance with the salary guidelines/scale of the canton
• of Zurich
• A generous travel budget to present your work at international conferences

How to Apply

The start of the position is by arrangement and as soon as possible. Applications should include a motivation letter, a CV, academic transcript and, if available, a certificate of the latest degree and GMAT/GRE score. The documents should be sent in a single PDF to operations@business.uzh.ch before August 1st, 2023. Please note that the applications will be reviewed on a rolling basis until the position is filled.

For further information related to the PhD Project, please visit this Scholarship Link, and for application process, you may visit the application button below.

4-year PhD Position in Automatic Sign Language Processing at University of Zurich

PhD at University of Zurich

Join the University of Zurich and contribute to groundbreaking advancements in automatic sign language processing.

We are actively looking for an exceptionally driven and skilled individual to become a PhD student in our research team. Your focus will be on natural language processing for sign languages, with a particular emphasis on neural machine translation. Your work will involve developing essential technologies specifically tailored to sign languages, ultimately enhancing the performance and effectiveness of machine translation systems for sign languages.

The Department of Computational Linguistics engages in research and education in various fields such as computational linguistics, language technology, phonetics, speech signal processing, and digital linguistics. Those involved in the SIGMA project will be associated with the "Language Technology for Accessibility" group, led by Dr. Sarah Ebling. This group specifically emphasizes the role of language technology in enhancing accessibility for individuals with disabilities and special educational requirements.

PhD Description

The PhD position forms a crucial part of an innovative research initiative called "SIGMA" within the Digital Society Initiative and the Department for Computational Linguistics at the University of Zurich. The primary objective of SIGMA is to develop fundamental linguistic tools for the automated processing of sign languages, ultimately leading to significant advancements in sign language machine translation. The improvement of machine translation for sign languages holds great importance for both Swiss and international communities. While translation technology is readily available for hearing individuals in their daily lives, such tools are currently unavailable for Deaf sign language users. In order for Deaf individuals to fully participate in a digital society, it is essential that they have access to translation technology. The project operates at the intersection of computer science, linguistics, and accessibility studies, resulting in a highly interdisciplinary approach. As a PhD student involved in this project, you will be part of a dynamic and supportive research environment that highly values the research and professional growth of young scholars.

Your responsibilities are:

• Develop and improve key language technologies for sign language processing, spefically automatic evaluation metrics for sign language machine translation, segmentation or alignment algorithms, machine translation systems.
• Write a cumulative doctoral dissertation describing the results, composed of at least three scientific articles.
• Collaborate with team members and other researchers and institutions.
• Participate in international conferences and public outreach activities.

Supervise student assistants in the projecte doctoral project will be co-supervised by Dr. Sarah Ebling and Dr. Mathias Müller.

PhD Requirements

• Excellent Master's degree in computational linguistics, computer vision, computer science, AI, or a related discipline
• Strong programming skills (Python)
• Theoretical and practical knowledge of machine learning (deep learning) methods, as demonstrated by familiarity with at least one major deep learning framework
• Experience in computer vision (e.g., image recognition, image segmentation, image generation, video generation); experience in NLP (specifically, machine translation) a plus
• Proficiency in English (oral and written)
• Interest in sign languages and sign language linguistics; willingness to engage with the sign language community and to learn at least one sign language
• Very good communication, interpersonal, and organizational skills

What We Offer

• Four-year PhD funding
• Excellent research conditions (including access to state-of-the-art equipment, infrastructure, and shared facilities) in a highly attractive city
• Option to apply for the DSI PhD Excellence Program - a highly successful PhD program with graduates at top-rated institutions worldwide
• Friendly working environment in an enthusiastic team
• The opportunity to participate in international conferences and workshops
• Salary in accordance with the regulations of the Swiss National Science Foundation (salary starts at CHF 48'686 per year)

How to Apply

Applications will be reviewed on a rolling basis starting from May 2023 until the position is filled. Please submit your application via the link to the online application tool only. The earliest start date is October 2023.

Your application should contain a cover letter with your motivation and research interests, CV, academic records, contact information for at least two references, optionally programming samples, optionally writing samples, optionally list of publications.

Job position: Dr. Mathias Müller (main contact) and Dr. Sarah Ebling.

PhD Program: Dr. Sascha Völlmin

Department manager: Alexandra Bünzli, lic. phil.

For further information related to the scholarship, please visit this Scholarship Link, and for application process, please click apply below.