2 PhD student positions in machine learning over wireless networks

As an ever increasing amount of data is generated in the "connected world" enabled by wireless networks, the development of machine-learning algorithms targeting wireless networks becomes critical. Furthermore, machine-learning algorithms may radically improve the design and the management of such networks.

The two selected candidates, who will be jointly supervised by Prof. Giuseppe Durisi and Assist. Prof. Christian Häger at the Department of Electrical Engineering, will be part of a large network of junior and senior researchers at Chalmers, Gothenburg University, and KTH performing state-of-the-art research in machine learning for/over wireless networks. Both PhD positions are funded by the Swedish Foundation for Strategic Research (SSF) as part of the research project SAICOM. More information about the project can be found here.

After completing Ph.D. studies at Chalmers University of Technology, you will be in great demand from both Swedish and international industry. You will also have an excellent basis for further academic research. Candidates with any nationality are welcome to apply.

Information about the department At the Department of Electrical Engineering (E2), we conduct internationally renowned research spanning many fields and including information and communication theory, machine learning, and signal processing. We offer a dynamic, international research environment with about 150 employees from more than 20 countries, and an extensive national and international collaboration networks that encompasses both other academic partners and industry.

Main responsibilities Both PhD positions aim at developing novel wireless communication systems and protocols that can natively support future machine learning and AI services (for example distributed model training, federated learning, etc.). The first position will focus on aspects related to ultra-reliable low-latency communications and massive random access, whereas the second position will focus on end-to-end protocol learning using communication autoencoders.

You are expected to develop your own scientific concepts and to communicate the results of your research (verbally and in writing) in major journals and conferences. The position includes also teaching at the undergraduate and M.Sc. level and other departmental duties of up to 20% full time (the employment contract is extended beyond the 4 years, accordingly).

Qualifications To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field. You should have a strong background in mathematics, digital communications, and machine learning and high grades in the core courses within these three subjects. Knowledge of wireless communication and signal processing is meritorious. You should have obtained or be close to obtain a master's degree corresponding to at least 250 higher education credits in mathematics, electrical, engineering, computer science or related areas.

The ideal candidates for this position have a strong interest in pursuing theoretical research, are independent, curious, and creative, are able to present their ideas and findings effectively, and like to work in an international environment. Proficiency in written and spoken English is required.

Contract terms The position of Ph.D. student at Chalmers University of Technology is a full-time temporary employment with a competitive monthly salary and full social benefits. The position is limited to a maximum of four years plus teaching and other departmental duties. There are no tuition fees for Ph.D. studies at Chalmers. The starting date is tentatively January 2023.

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 20220470 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, Ref. number) • CV including two references that we can concatct

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) Maximum 2 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.

Use the button at the foot of the page to reach the application form. Applications sent per email will not be considered.

Application deadline: 31 October, 2022

For questions, please contact: Giuseppe Durisi, E2 [email protected] +46317721802

Christian Häger, E2 [email protected] +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!