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Open nowPosted 37 hours ago

Staff Scientists in Radio Localization and Sensing

Arbetsförmedlingen (Platsbanken)39,552 open roles

Where
Göteborg, Västra Götalands län, Sweden
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Your applicationOpen nowStaff Scientists in Radio Localization and SensingArbetsförmedlingen (Platsbanken) · Göteborg, Västra Götalands län, Sweden

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This job: posted 37 hours ago

The posting

Chalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and industry. We offer a creative and dynamic environment for research, education, innovation, and applied science. We are now looking for two Staff Scientists to strengthen our research in radio localization and sensing. About the role Radio localization and sensing at Chalmers is growing in scale, technical breadth, and collaborative activity. To provide the scientific continuity, technical depth, and coordination needed for sustained high-quality research, we are recruiting two Staff Scientists.As a Staff Scientist, you will provide advanced scientific, technical, and methodological support within an established research environment. Working on behalf of the research leader, you will contribute specialist expertise, hands-on research, method development, technical mentoring, and coordination of assigned activities in the group’s research projects. You will work closely with Professor Henk Wymeersch and other members of the group to strengthen the capacity, continuity, and long-term development of the group’s established research activities. The two appointments will provide complementary expertise. Applicants should identify the profile that best matches their experience; candidates with strengths spanning both areas are also welcome. Profile 1: Model-based radio localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio localization, sensing, and tracking in terrestrial and emerging non-terrestrial networks, including satellites, high-altitude platform stations, and unmanned aerial vehicles. Profile 2: Reliable and learning-enabled radio localization and sensing. This profile focuses on developing and applying model-based and learning-based methods for trustworthy and intelligent wireless localization, sensing, and imaging. Relevant themes include privacy, robustness, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda.

About the division and department The Division of Communications, Antennas, and Optical Networks conducts research and education in wireless and optical technologies for communication and sensing. Combining fundamental and applied research, we address challenges in sustainability, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master’s Programme in Information and Communication Technology. Your responsibilities Your responsibilities will include: Contributing to high-quality research and contributing to scientific publications, research software, methods, and other long-term research outputs relevant to the group’s agenda. Developing and applying specialist methods, models, algorithms, and evaluation approaches in radio localization, sensing, tracking, and related areas. Providing technical mentoring and co-supervision to PhD students and postdoctoral researchers within the group, under the direction of the research leader. Contributing to the supervision of BSc and MSc thesis projects, where relevant. Contributing to the preparation of competitive grant applications that support the group’s research activities, including coordinating defined technical or practical components when assigned. Supporting the execution and coordination of collaborative research projects, including work-package activities, technical reporting, deliverables, and presentations. Working with academic and industrial partners to support the group’s existing collaborations. Contributing to the development and maintenance of relevant research infrastructure, including simulation, software, experimental, or laboratory resources.

Qualifications and merits To qualify for this position, you should have: A doctoral degree in Electrical Engineering, Computer Science, Applied Mathematics, Signal Processing, Machine Learning, Robotics, or a closely related field, with research relevant to localization, sensing, tracking, or radio-based inference. Substantial relevant research or specialist experience, aligned primarily with at least one of the two profiles described above. The ability to work collaboratively within an established research team and to provide technical guidance and mentoring to junior researchers. Experience contributing to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning frameworks. Proficiency in written and spoken English. Swedish language courses are offered.

The following are considered meritorious: Experience from contributing to peer-reviewed research publications in relevant international journals and conferences. Experience supporting or coordinating activities in collaborative research projects, including technical work packages, deliverables, reporting, or presentations. Experience working with academic or industrial partners. Experience with simulation, experimental validation, measurement campaigns, research software, or research infrastructure relevant to wireless localization and sensing. Experience mentoring or co-supervising BSc, MSc, or PhD students. Experience contributing to the development, maintenance, or operation of research software, experimental platforms, or laboratory facilities.

Employment Full-time, permanent positions. Application Submit your application in English through our recruitment portal. All files should be in PDF format (max 40 MB each; ZIP files not supported). Personal letter – your motivation and interest in Chalmers. Please specify clearly in your letter which of the two profiles you are applying for. CV – A comprehensive CV, including a complete list of publications and details of previous teaching/pedagogical experience. Certificates and supporting documents – including your doctoral degree certificate, documentation of awards, or teaching merits.

Only complete applications submitted through the portal will be considered. A background check may be conducted as part of the application process. Application deadline: October 31, 2026. * Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *

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