- Gefragte Sprachen
- Deutsch gute Kenntnisse
- Stellenangebot auf
- Englisch
- Arbeitsort
- Bremen
- Anstellung
- Vollzeit
- Veröffentlicht
- 28. Oktober 2026
Kurz zusammengefasst
Constructor University, a private, state‑accredited English‑language institution in Bremen, offers Bachelor, Master and PhD programmes across three schools. Ranked in the top 25 % of global universities by THE 2024 and noted for its international diversity, the university seeks a PhD candidate to work on robust inference for sensing systems. The doctoral researcher will focus on solving complex inference challenges in harsh environments, with primary applications in GNSS signal processing, positioning, satellite imaging and other sensor technologies. Day‑to‑day work involves designing and evaluating algorithms that improve the reliability of data interpretation under adverse conditions. Applicants must hold a Master's degree in Electrical Engineering, Signal Processing, Geomatics or a closely related discipline, and demonstrate a solid foundation in signal processing, estimation theory, probability or applied mathematics. Experience with GNSS, Bayesian filtering, robust statistics, machine learning or remote sensing is considered advantageous, as are programming abilities in MATLAB and Python. The position offers full‑time employment at a world‑class, internationally focused university that values academic freedom and diversity. Benefits include individualized onboarding, career development planning, 30 days of annual leave plus special‑occasion days, a fitness programme with EGYM Well Pass, and a green campus with extensive recreation areas. The university promotes equal opportunity and encourages applicants from all backgrounds. What the role asks for: - Master's degree in Electrical Engineering, Signal Processing, Geomatics or related field - Strong background in signal processing, estimation, probability, applied mathematics - Experience with GNSS (nice‑to‑have) - Experience with Bayesian filtering (nice‑to‑have) - Experience with robust statistics (nice‑to‑have) - Experience with machine learning (nice‑to‑have) - Experience with remote sensing (nice‑to‑have) - Programming skills in MATLAB (nice‑to‑have) - Programming skills in Python (nice‑to‑have)
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