Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
Tampere University
1 month ago
PhD Doctoral Researcher in Signal Processing, Statistical Signal Processing and Optimization at Tampere University Tampere University
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 27, 2026
Country
-
University
Tampere University

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About this position
Tampere University is inviting applications for a Doctoral Researcher (PhD student) position in Signal Processing.
The research topic sits at the intersection of statistical signal processing and optimization, with an emphasis on theory and algorithms. The main application areas include array signal processing for sensing, such as radar, RF imaging, and sonar, as well as wireless communications and MIMO systems.
The successful candidate is expected to conduct high-quality research on mutually agreed topics, publish and present results in top international signal processing and machine learning journals and conferences, complete the doctoral degree including mandatory study credits, and assist with teaching and undergraduate supervision for up to 5% of working time.
This is an employment-based doctoral opening at Tampere University, with staff benefits such as occupational health care, flexible working arrangements, modern research and teaching facilities, and a personal sports/culture fund. The post does not mention a stipend, tuition waiver, or scholarship programme.
The application deadline is 27 August 2026 at 23:59 EEST (UTC+3). Applicants should use the application link provided in the comments.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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