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 selected candidate, 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. Project description The Postdoctoral position is funded by the Swedish Foundation for Strategic Research (SSF) as part of the research project SAICOM, which aims at breaking new scientific ground in the subject of software, wireless networks, and artificial intelligence. More information about the project can be found here. Information about the division and the department At the Department of Electrical Engineering, 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. Major responsibilities You will conduct cutting-edge research in the area of machine learning for/over wireless networks, and disseminate it in top-tier journals and conferences. You will have the freedom to independently formulate and solve research problems in line with the work envisioned within the SAICOM project and to establish novel collaborations with the project partners. You will also be involved in the supervision of Ph.D. and M.Sc. students. Depending on your preferences, you may also take part in teaching activities. The position is meritorious for future roles within academia and industry. Qualifications Mandatory: - Ph.D. degree in Electrical Engineering, Computer Science, Applied Mathematics, or similar, awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. - Strong track record demonstrated by publications in top-tier journals and international conferences - Openness, creativity, and independence Desirable: - Experience with wireless communication networks - Knowledge of information theory and/or statistical learning theory - Experience with python machine-learning libraries Contract terms This postdoc position is a full-time temporary employment for two years. 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 20240327 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 as: CV, Surname, Ref. number) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences • Two references and their contact information Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) 1 page where you: • Introduce yourself • Describe your previous research activities and the main research results • Describe your future goals and future research focus in relation with this position Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. The applications will be processed shortly after their submission. Applying well before the deadline may be advantageous. Application deadline: 30 July, 2024 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!