Showing posts with label Doctoral Scholarships. Show all posts
Showing posts with label Doctoral Scholarships. Show all posts

Sunday, October 1, 2023

Doctoral Student in NMR Spectroscopy and Computational Chemistry



Dr. Marc-Olivier Ebert's research at the Laboratory of Organic Chemistry centers on utilizing NMR spectroscopy to determine the structure and explore the molecular dynamics of peptides and oligonucleotides. Meanwhile, Prof. Dr. Sereina Riniker's Computational Chemistry group at the Institute of Molecular Physical Science is dedicated to advancing methodologies for classical molecular dynamics simulations and cheminformatics. They aim to apply these tools to tackle complex biological and chemical inquiries, showcasing a keen interest in the intersection of computation and molecular science.


PhD Project Description



The joint research endeavor will center around examining and enhancing the relationship between structure and permeability of peptide antibiotics, employing a combination of NMR spectroscopy and computational techniques. The anticipated commencement date for this project is in the early months of 2024.

Qualification


Candidates are required to possess an M.Sc. in chemistry, biochemistry, or a related field, demonstrating a strong enthusiasm for both hands-on NMR spectroscopy and computational chemistry. Proficiency in wet lab techniques is essential, and familiarity with programming, particularly in Python, is considered advantageous. We encourage the application of self-motivated individuals who boast an exceptional academic record, effective communication skills, and a commitment to professional integrity.

How to Apply

We look forward to receiving your online application with the following documents:

  • Statement of interest
  • Comprehensive CV and publication list
  • Names and contact information of two references
  • Copies of degree certificates and transcripts
  • Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Computational Chemistry Group can be found on our website. Questions regarding the position should be directed to Dr. Marc-Olivier Ebert (mebert@ethz.ch) or Prof. Dr. Sereina Riniker (sriniker@ethz.ch) (no applications!). 

Wednesday, September 20, 2023

12 PhD Scholarships at Chalmers University of Technology Sweden in 2023



Chalmers University of Technology offers a wide range of scholarships for Ph.D. candidates, providing opportunities for talented individuals to pursue their research ambitions. These scholarships encompass various fields and are designed to support students in their academic endeavors. These financial aids not only recognize academic excellence but also promote diversity and inclusion in research, fostering an environment where innovation thrives. With these scholarships, Chalmers continues to attract and nurture exceptional minds, contributing to the advancement of knowledge and technology on a global scale.

01 PhD position in multifunctional materials for battery and supercapacitor

As a doctoral student, your primary duty centers around advancing your own research within the project's scope. The primary objective of this project is centered on the synthesis of innovative sustainable materials, gaining a deep comprehension of energy storage mechanisms, and the creation of high-performance batteries and supercapacitors. In order to accomplish this overarching goal, you will be required to formulate and conduct experiments across various laboratory settings. Furthermore, you must cultivate practical expertise in the construction of high-performance battery and supercapacitor systems. It is anticipated that you will independently formulate novel scientific concepts and effectively convey your research findings through both oral presentations and written reports.

Deadline: 22 October 2023 (View details and apply)

02 PhD student position in Airborne multi-static radar systems

An Airborne Multi-Static Radar (AMR) system comprises multiple transmitters and receivers positioned on various distinct airborne platforms. To fully harness the advantages of an AMR system, numerous signal processing hurdles must be addressed. As a doctoral candidate within the Department of Electrical Engineering, you will play a crucial role in tackling these stimulating and dynamic advancements.

Deadline: 31 October 2023 (View details and apply)

03 PhD Student Position in Generative models for Molecular Simulations

Molecular simulations provide an unprecedented level of detail for studying molecular processes. Molecular dynamics simulations find utility in various fields like drug discovery, materials science, and modeling chemical reactions. They are also applicable for simulating biological systems such as proteins and nucleic acids. However, these simulations are computationally intensive, severely limiting their practical application. In this project, the chosen candidate will utilize generative AI to expedite simulations, enabling a deeper understanding of complex molecular systems, particularly proteins.

Deadline: 15 October 2023 (View details and apply)

04 PhD student position in Airborne multi-static radar systems

An Airborne Multi-Static Radar (AMR) system comprises multiple transmitters and receivers positioned on various distinct airborne platforms. To fully harness the advantages of an AMR system, numerous signal processing hurdles must be addressed. As a doctoral candidate within the Department of Electrical Engineering, you will play a crucial role in tackling these stimulating and dynamic advancements.

Deadline: 31 October 2023 (View details and apply)

05 PhD Student Position in Generative models for Molecular Simulations

Molecular simulations provide an unprecedented level of detail for studying molecular processes. Molecular dynamics simulations find utility in various fields like drug discovery, materials science, and modeling chemical reactions. They are also applicable for simulating biological systems such as proteins and nucleic acids. However, these simulations are computationally intensive, severely limiting their practical application. In this project, the chosen candidate will utilize generative AI to expedite simulations, enabling a deeper understanding of complex molecular systems, particularly proteins.

Deadline: 15 October 2023 (View details and apply)

06 PhD student position in New Materials Concepts for Stable Organic Solar Cells

An opening for a Ph.D. student position is currently accessible within the research team led by Christian Müller at Chalmers University of Technology's Department of Chemistry and Chemical Engineering. We are in search of a deeply motivated Ph.D. candidate who will be dedicated to pioneering fresh ideas for organic solar cell materials. Your research endeavor will be financially supported by the Swedish Research Council. You will collaborate closely with multiple Ph.D. students and postdoctoral researchers at Chalmers, along with counterparts from various Swedish and international universities. This role will provide you with the chance to travel, attend conferences, and visit laboratories at other academic institutions.

Deadline: 10 October 2023 (View details and apply)

07 PhD student GaN based electronics for high frequency and power applications

The Microwave Electronics Laboratory (MEL), situated within the Department of Microtechnology and Nanoscience, comprises a team of over 40 individuals engaged in cutting-edge research on high-speed electronic components, circuits, and systems. Our research spans a broad spectrum of communication and sensing applications, encompassing frequencies ranging from 1 GHz to 500 GHz and beyond. Within our facilities, we are proud to possess a remarkably well-equipped laboratory for advanced millimeter-wave measurements, alongside a state-of-the-art cleanroom facility.

Deadline: 11 October 2023 (View details and apply)

08 PhD student, Faster fast-charging and extended lifetime of lithium-ion batteries

This Ph.D. opportunity offers an exceptional chance to attain specialized expertise in battery research while integrating it with the domain of automatic control. Both of these areas exhibit robust employment prospects in the foreseeable future. You will be part of a highly regarded international research team comprising approximately 15 members. This team is dedicated to the enhancement of battery performance and longevity through the development of battery management algorithms, contributing to a more sustainable future.

Deadline: 15 October 2023 (View details and apply)

09 PhD student position in Principled Application Security

The Ph.D. candidate will become a part of a prominent team of researchers specializing in cybersecurity and privacy within the Chalmers Security Lab. In contemporary computing systems, software frequently serves as the primary source of vulnerabilities. Our emphasis on enhancing software security is directed at developing systematic security measures that offer robust defense against broad categories of cyberattacks.

Deadline: 15 October 2023 (View details and apply)

10 PhD student position in climate applications of the Arctic Weather Satellite

If you have a concern for climate issues and a keen interest in both physics and machine learning, this Ph.D. student opportunity is tailored to your aspirations! The Arctic Weather Satellite (AWS), developed in Sweden, represents a groundbreaking achievement. Within this project, you will spearhead the initiative to extract climate-related information from the microwave sensor installed on the AWS. This endeavor aims to enhance the satellite's utility not only for weather forecasting but also for climate data analysis.

Deadline: 05 October 2023 (View details and apply)

11 PhD student position in Stability assessment of converter-dominated power systems

This project receives funding from the Swedish Energy Agency (Energimyndigheten) and will be executed in close collaboration with pertinent industry stakeholders, including Hitachi Energy Research and Svenska Kraftnät (the Swedish transmission system operator). The project encompasses an extensive array of current and critical subjects pertaining to power systems predominantly influenced by converters, encompassing both theoretical and experimental aspects.

Deadline: 31 October 2023 (View details and apply)

12 PhD position in Affordable and climate-neutral housing renovation

You have the chance to be part of a globally renowned academic institution specializing in carbon-neutral and cost-effective housing, with a specific emphasis on building refurbishment. We provide an enriching work atmosphere characterized by a diverse community comprising Ph.D. students, Postdocs, and seasoned researchers hailing from various educational and cultural backgrounds.

Deadline: 15 October 2023 (View details and apply)

PhD position in Affordable and climate-neutral housing renovation


You have the chance to be part of a globally renowned academic institution specializing in carbon-neutral and cost-effective housing, with a specific emphasis on building refurbishment. We provide an enriching work atmosphere characterized by a diverse community comprising Ph.D. students, Postdocs, and seasoned researchers hailing from various educational and cultural backgrounds.


PhD Project Description


Access to affordable housing is a fundamental human right, yet it remains unfulfilled in Europe. Simultaneously, housing has become a significant source of wealth and inequality among high-income populations. Achieving a low-carbon Europe while addressing social inequalities is a complex challenge. For instance, energy-poor households may struggle with carbon-reduction taxes, low-income homeowners may lack funds for energy-efficient upgrades, and social housing landlords may face challenges relocating tenants during renovations. To address these issues, we are recruiting a Ph.D. student for a European research project funded by the European Commission. The project aims to address unsustainable housing and energy poverty through a structured literature review and real-building case studies. The goals include identifying exemplary renovation projects, analyzing regulatory frameworks, evaluating digital tools in renovation planning, and proposing governance arrangements for a just transition. The Ph.D. position is for a maximum of five years, including research and teaching responsibilities.

Qualification


Master's level degree corresponding to at least 240 higher-education credits in Engineering, Architectural Engineering or equivalent with relevant courses in building performance, building renovation, affordable housing etc. The position requires advanced knowledge on building energy performance calculation, housing renovation standards and EU regulation. The position requires very good verbal and written communication skills in English.

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 15 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

For questions, please contact:
Prof. Holger Wallbaum, Building Technology
holger.wallbaum@chalmers.se
+46 7338389259

PhD student position in Stability assessment of converter-dominated power systems

This project receives funding from the Swedish Energy Agency (Energimyndigheten) and will be executed in close collaboration with pertinent industry stakeholders, including Hitachi Energy Research and Svenska Kraftnät (the Swedish transmission system operator). The project encompasses an extensive array of current and critical subjects pertaining to power systems predominantly influenced by converters, encompassing both theoretical and experimental aspects.


PhD Project Description


Your primary duty as a Ph.D. student is to actively pursue your doctoral studies. It is anticipated that you will operate as an autonomous researcher, taking charge of cultivating your scientific expertise and competencies. Furthermore, you will be responsible for disseminating the findings of your research through presentations and scientific publications. The role encompasses a combination of theoretical modeling and experimental components. The Ph.D. position has a defined duration of 5 years and typically includes departmental responsibilities, accounting for 15-20% of your workload, which may involve serving as a lab assistant and leading exercises for various courses.

You are expected to complete a licentiate thesis within 2-3 years and successfully defend your doctoral thesis within 5 years.

Qualification


The prospective candidate should hold a Master's Degree or its equivalent in electrical engineering, with a specialization in power systems and power electronics. Collaborative aptitude is essential, as is the capacity to address a range of both personal and academic matters. Proficiency in English, particularly in writing and communication, is mandatory. Proficiency in teaching in Swedish is considered advantageous.

This role necessitates effective verbal and written communication abilities in English. For those whose native language is not Swedish, Chalmers provides Swedish language courses as a resource.

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 31 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

For questions, please contact:
Dr. Mebtu Beza, division of Electric Power Engineering
E-mail: mebtu.beza@chalmers.se
Phone: +46 31 772 1617

Professor Massimo Bongiorno, division of Electric Power Engineering
E-mail: massimo.bongiorno@chalmers.se
Phone: +46 31 772 1631

PhD student position in climate applications of the Arctic Weather Satellite

If you have a concern for climate issues and a keen interest in both physics and machine learning, this Ph.D. student opportunity is tailored to your aspirations! The Arctic Weather Satellite (AWS), developed in Sweden, represents a groundbreaking achievement. Within this project, you will spearhead the initiative to extract climate-related information from the microwave sensor installed on the AWS. This endeavor aims to enhance the satellite's utility not only for weather forecasting but also for climate data analysis.


PhD Project Description


One of the main research areas within our division revolves around harnessing passive microwave satellite data to advance weather forecasting and climate investigations. Specifically, we are at the forefront of pioneering sub-mm wavelengths, which encompass frequencies exceeding 300 GHz. A notable mission dedicated to exploring this sub-mm realm is the Ice Cloud Imager (ICI), scheduled for launch in 2025. In parallel, we are actively engaged in the Arctic Weather Satellite (AWS) project, an European mission that adheres to "new space" principles and is being constructed in Sweden. AWS is set to launch next year and will mark the maiden instance of a sensor in space equipped with sub-mm channels.

We are deeply immersed in preparations for both AWS and ICI, collaborating closely with institutions such as the Swedish Meteorological and Hydrological Institute (SMHI). Due to the swift development timeline of AWS, the primary focus has been on leveraging its data for enhanced weather forecasting. In this Ph.D. project, we endeavor to apply the methodologies we've devised for ICI to AWS, facilitating the generation of datasets concerning ice cloud characteristics for climate-related applications. Our approach to addressing this intricate challenge integrates advanced physical simulations of observations with machine learning guided by Bayesian principles. You will work collaboratively with fellow Ph.D. students and also partake in the ICI project. Consequently, this endeavor offers you the opportunity to engage in the "first light" observations from two groundbreaking satellite missions.


Qualification


Master's degree in physics, engineering mathematics, electrical engineering, atmospheric physics, or related discipline.

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 05 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

For questions, please contact:
Prof. Patrick Eriksson, Geoscience and remote sensing, Department Space, Earth, and Environment
patrick.eriksson@chalmers.se

PhD student position in Principled Application Security

The Ph.D. candidate will become a part of a prominent team of researchers specializing in cybersecurity and privacy within the Chalmers Security Lab. In contemporary computing systems, software frequently serves as the primary source of vulnerabilities. Our emphasis on enhancing software security is directed at developing systematic security measures that offer robust defense against broad categories of cyberattacks.


PhD Project Description


The Ph.D. candidates will be integrated into one of our ambitious projects, which include:

  • WebSec: Ensuring the security of web-driven systems, conducted in collaboration with Uppsala University and supported by the Swedish Foundation for Strategic Research (SSF).
  • WASP NEST CyberSecIT: A framework project, in partnership with KTH and Umeå University, focused on exploring the security and privacy aspects of IoT applications, particularly in software. NESTs represent flagship projects within the Wallenberg AI, Autonomous Systems and Software Program (WASP), offering Ph.D. students the advantages of the WASP graduate school.
  • VR project centered on the application of programming language-based, SMT solving, and symbolic execution techniques for identifying vulnerabilities and enhancing the security of software systems through construction.

The supervision of Ph.D. students will be under the guidance of Professor Andrei Sabelfeld, who has received numerous awards from organizations such as ERC, SSF, Google, Amazon, and Facebook, in addition to being honored as Chalmers' PhD Supervisor of the Year.

Ph.D. positions typically span a five-year duration and encompass departmental responsibilities, primarily involving teaching duties, accounting for about 20 percent of the workload. The salary for this position aligns with Chalmers' standard agreement for Ph.D. student positions, commencing at 32,150 SEK per month before taxes.


Qualification


Upon commencement, you should possess a Master's degree and demonstrate a well-documented history of research interests and accomplishments in the field of cybersecurity and/or privacy. You should exhibit a high level of motivation, self-drive, enthusiasm, independence, and well-honed analytical problem-solving skills. In terms of your personal attributes, empathy, loyalty, and a strong commitment to ethical standards are highly valued. Furthermore, your English language proficiency, both in written and spoken forms, should be of a commendable standard.

Your application should be prepared in English and encompass the following components:

  • A succinct application, not exceeding one A4 page, summarizing your professional background and presenting your research statement.
  • Authenticated copies of academic certificates, including transcripts and related documentation.
  • A comprehensive Curriculum Vitae.
  • Letters of recommendation and the contact information of reference persons.
  • Proof of written work, such as links to research papers and theses.
  • Links to software repositories featuring relevant projects you've been involved in.

It is crucial to include sections of your own work, such as theses and articles authored or co-authored by you. Additionally, we strongly recommend the inclusion of letters of recommendation as part of your application. Given the substantial volume of applications we typically receive, it is not practical for us to request individual letters of recommendation.


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 15 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

For questions, please contact:
Andrei Sabelfeld,
andrei@chalmers.se, 031 772 1000

PhD student, Faster fast-charging and extended lifetime of lithium-ion batteries

This Ph.D. opportunity offers an exceptional chance to attain specialized expertise in battery research while integrating it with the domain of automatic control. Both of these areas exhibit robust employment prospects in the foreseeable future. You will be part of a highly regarded international research team comprising approximately 15 members. This team is dedicated to the enhancement of battery performance and longevity through the development of battery management algorithms, contributing to a more sustainable future.


PhD Project Description


The pace of the shift towards complete electrification in the automotive industry hinges significantly on advancements in battery systems. Key factors influencing sales in a given setup are the rapid charging capabilities and the longevity of the batteries. However, the existing sensors treat battery systems as enigmatic entities, lacking the ability to monitor or manage the localized deterioration conditions within the battery cells. Consequently, this leads to suboptimal performance and premature aging of batteries, posing risks to reliability and safety. In this project, we aim to introduce cost-effective sensors and develop intelligent algorithms for battery management systems. These systems will utilize the sensors to provide real-time insights into the interior conditions of the cells, allowing for faster charging without compromising on battery lifespan and safety.

This collaborative initiative involves partnerships with the Nanomaterial and Manufacture research group at Chalmers, Volvo Cars, and ConScience AB. The primary funding source is the Swedish Energy Agency's "Betterifondsprogrammet." The Ph.D. position entails full-time temporary employment for four years, with the possibility of extension to five years to accommodate teaching responsibilities within the department. The role offers a competitive monthly salary, comprehensive social benefits, and opportunities for close collaboration with experts from Volvo Cars and ConScience AB.

Your primary duty entails conducting research aligned with the project's objectives, publishing and delivering scientific articles, and actively engaging in scholarly discussions. Throughout your Ph.D. journey, you will also receive additional education through courses pertinent to your research, the overarching research project, and the broader domain of automatic control. This comprehensive education will equip you for your future career. Additionally, you will be required to contribute to teaching endeavors in the field of Automatic Control, with a maximum commitment of up to 20%.

Qualification


A preferred qualification is a Master's degree in disciplines such as control, electric power engineering, computer science, engineering physics, or related fields. Proficiency in mathematics and a strong inclination toward it are valuable assets. Proficiency in both spoken and written English is essential. Prior experience in battery management systems, machine learning, and power systems is considered advantageous.

Effective communication skills, both verbally and in writing, in English are necessary for this role. If Swedish is not your native language, Chalmers University provides Swedish language courses to support your language proficiency.

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 15 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.

For questions, please contact:
Prof. Torsten Wik, Automatic Control, Department of Electrical Engineering
torsten.wik@chalmers.se, +46 (0)31 772 5146

Ass. Prof Changfu Zou, Automotic Control, Department of Electrical Engineering
changfu@chalmers.se, +46 (0)31 772 339

Dr Xiaolei Bian, Automatic Control, Department of Electrical Engineering
xiaoleib@chalmers.se, +46 (0)70 371 7378