BEMÆRK: Ansøgningsfristen er overskredet
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 July 2024 or later. You can submit your application via the link under 'how to apply'.
Title:
Quantum Machine Learning-Driven Optimization of Wide Bandgap Semiconductors for Sustainable Power Circuits
Research area and project description:
PhD Position in Quantum Machine Learning-Driven Optimization of Wide Bandgap Semiconductors for Sustainable Power Circuits
Faculty of Technical Sciences, Aarhus University
Aarhus University's Faculty of Technical Sciences is delighted to announce an exciting PhD opportunity within the Department of Electrical and Computer Engineering. This position is part of a pioneering research project aimed at revolutionizing power circuit systems through the integration of Quantum Machine Learning (QML) and Wide Bandgap (WBG) semiconductors. The project seeks to address the critical need for sustainable energy solutions by enhancing the efficiency and reducing the environmental impact of power circuits.
Project Description:
The advent of Wide Bandgap (WBG) semiconductors has opened new horizons for power electronics, offering superior efficiency and performance over traditional materials. However, optimizing these semiconductors for maximum performance and sustainability requires innovative approaches. This project focuses on leveraging Quantum Machine Learning (QML) to unlock unprecedented efficiencies in WBG semiconductor operation, aiming to significantly reduce the reliance on petroleum-based components in electronic boards.
The selected PhD candidate will embark on a cutting-edge research journey to:
- Develop QML algorithms tailored for optimizing the switching frequencies of WBG semiconductors
- Investigate the integration of Talkative Power Conversion (TPC) techniques to enhance communication within power circuits
- Contribute to the development of more efficient, reliable, and environmentally friendly power electronic systems
Embark on a journey to shape the future of power electronics and contribute to a sustainable world with Aarhus University.
Project description: For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.
Qualifications and specific competences:
Applicant for the PhD position mut have:
- A Master's degree in Electrical Engineering, Computer Science, Physics, or a related fields
- Strong foundational knowledge in machine learning, quantum computing, or semiconductor physics
- Proficiency in programming languages such as Python or MATLAB
- A keen interest in sustainable technologies and power electronics
- Excellent analytical and problem-solving skills
- Real-time simulations (use of dSPACE, Typhoon, or alike)
- Strong communication skills, both written and oral, in English.
Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Department of Electrical and Computer Engineering Electrical Energy Technology, Finlandsgade 20, Building 5120, 8200 Aarhus N, Denmark.
Contacts:
Applicants seeking further information are invited to contact:
- Associate Professor Mohammad Khooban, khooban@ece.au.dk (main supervisor)
How to apply:
Please follow this link to submit your application.
Application deadline is 05 March 2024 at 23:59 .
Preferred starting date is 01 July 2024 or later.
For information about application requirements and mandatory attachments, please see our application guide.
Please note:
- Only documents received prior to the application deadline will be evaluated. Thus, documents sent after deadline will not be taken into account.
- The programme committee may request further information or invite the applicant to attend an interview.
- Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Nordre Ringgade, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 05-03-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5994479