Postdoc position on machine learning for distributed radio localization/sensing

Updated: about 2 months ago
Deadline: 04 Dec 2024

This position will expose you to the state of the art in machine learning for distributed radio localization and sensing for various applications, and allow you to collaborate with world-leading industry actors. You will gain practical knowledge of the real-life operation of sensing and localization systems and insight into the running of large and ambitious research projects. You will thus have access to a unique network of potential partners and collaborators, which will allow you to create a high impact in your research activities.

Information about the division and the department
You will be part of the Communication Systems group  (CS) at Chalmers, which comprises 9 professors and a large number of PhD students and postdocs. The CS group is internationally known for its academic research in wireless systems, fiber-optical communications, coding, information theory, and machine learning.  CS is part of the Department of Electrical Engineering , where we value all our co-workers and know that various personalities and experiences make the most creative workplaces. We therefore encourage applicants with any gender, background, and abilities. Our overall ambition is to contribute to a sustainable future. We aim to create a positive impact on the development of society, both environmentally, socially and economically. The department is a dynamic and international work environment with about 200 employees from more than 20 countries. The project is part of the SSF SAICOM project.

Major responsibilities
Your main activities will include (i) interacting with industry (generating results, presentations, reporting, deliverables), (ii) performing hands-on research and leading papers, (iii) help supervising PhD students, (iv) coordinating research tasks, (v) support management activities, (vi) applying for grants in collaboration with associated faculty.

A PhD in electrical engineering, with a specialization in radio localization, radar, sensing, or signal processing. Strong mathematical skills, especially in terms of optimization and algorithm development. Extensive experience in radar signal processing, optimization, radio localization, and physical layer wireless communication. Experience with machine learning and deep learning frameworks is a plus.

Publication track record with IEEE transaction papers. Outstanding communication skills and fluency in English are essential (both written and oral). Candidates must be creative, and analytical, and have the ability to initiate new research collaborations, work in teams, and present their ideas and results to researchers with different backgrounds. Experience in international collaboration, innovation, and utilization are also meritorious.

To qualify for the position of postdoc, you must hold a doctoral degree 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*.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching and to demonstrate good potential within research and education.

* The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree.

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 20240172 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 that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-2 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

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.

Application deadline: 2024-04-12

For questions, please contact:
Henk Wymeersch, CAOS,
[email protected]

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!

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