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Postdoctoral Researcher in Machine Learning for Wireless Networks
1 month ago
As part of our ongoing research in machine learning for wireless networks, we are seeking a highly skilled postdoctoral researcher to join our team at Chalmers tekniska högskola. The successful candidate will be part of a large network of junior and senior researchers performing state-of-the-art research in machine learning for/over wireless networks.
Project OverviewThe postdoctoral position is funded by the Swedish Foundation for Strategic Research (SSF) as part of the research project SAICOM, which aims to break new scientific ground in the subject of software, wireless networks, and artificial intelligence. The project focuses on developing machine-learning algorithms targeting wireless networks, with the goal of improving the design and management of such networks.
ResponsibilitiesThe successful candidate will conduct cutting-edge research in the area of machine learning for/over wireless networks, disseminate the results in top-tier journals and conferences, and establish novel collaborations with project partners. The candidate will also be involved in the supervision of Ph.D. and M.Sc. students and may take part in teaching activities.
QualificationsThe candidate must have a Ph.D. degree in Electrical Engineering, Computer Science, Applied Mathematics, or a similar field, awarded no more than three years prior to the application deadline. A strong track record of publications in top-tier journals and international conferences is also required. Openness, creativity, and independence are essential qualities for this position.
Desirable QualificationsExperience with wireless communication networks, knowledge of information theory and/or statistical learning theory, and experience with Python machine-learning libraries are desirable but not required.
Contract TermsThis postdoc position is a full-time temporary employment for two years. Chalmers offers a dynamic, international research environment with opportunities for professional growth and development.
