PhD position in machine learning for integrated communication and sensing

We offer a PhD position where you will be exposed to the state of the art in terms of integrated communication and sensing, have the opportunity to be involved in large international projects, as well as projects with Swedish industry.

Information about the research/the project/the division
This position is a great opportunity for you to learn scientific and technical skills as part of a multidisciplinary team of leading researchers, with great importance for industry and society. The PhD position is placed at the Communication Systems Group, part of the Department of Electrical Engineering (E2) at Chalmers. The Communication Systems Group is known for its contributions to wireless and optical communication systems and has about 40 members from all over the world. Chalmers University of Technology is located in Gothenburg on the scenic west coast of Sweden. It is among the top research schools in Europe. The research environment is international and English is the working language.

Major responsibilities
In this project, you will perform cutting-edge research on combing machine learning and model-based methods for physical layer integrated communication and sensing, applicable to both wireless (e.g., 6G systems) and fiber-optical communication. Machine learning methods are particularly in focus, in order to overcome severe hardware impairments and to infer fine-grained phenomena in the sensed environment. You are expected to publish papers of high quality and collaborate with other PhD students and senior researchers in the team. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours.

Contract terms
Full-time temporary employment. The position is limited to a maximum of four years, plus teaching and other departmental duties. 

Qualifications
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science or similar. Knowledge of digital communications and statistical signal processing, programming skills (Matlab and Python) as well as knowledge of mathematical analysis (probability, transforms, differential equations) is required. You also need to enjoy working in a team and have the ability to present scientific results in English, both in writing and orally. 

Advantageous merits: 
- Knowledge of optimization, stochastic processes, and other mathematical tools
- Experience in statistical signal processing, radar processing, or machine learning (deep learning)
- Experience of teaching, cross-disciplinary collaborations, international exchange or collaborations.

If Swedish is not your native language, Chalmers offers Swedish courses.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20210596 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 20 January, 2022

For questions, please contact:
Henk Wymeersch, CAOS
Email: henkw@chalmers.se
Phone: +46 31 772 17 65

Christian Häger, CAOS
Email: christian.haeger@chalmers.se
Phone: +46317721809

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!