Sort by
Refine Your Search
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Aalborg Universitet
- Technical University Of Denmark
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- Graduate School of Arts, Aarhus University
- Technical University of Denmark
- Technical University of Denmark (DTU)
- University of Southern Denmark
- University of Southern Denmark (SDU)
- 2 more »
- « less
-
Field
-
experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
-
of the Built Environment, Faculty of Engineering and Science, Aalborg University (Copenhagen) within the general study programme Civil Engineering. The stipend is open for appointment from October 1st, 2026
-
that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at
-
At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon
-
At AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1/9-2026 or soon hereafter. The duration of the position is three
-
a PhD student at: the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
-
applied data work and at least one mainstream programming environment for analysis is expected. Direct experience with NLP or large language models for research is welcome but not required; the priority is
-
systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
-
able to plan and complete longer research tasks. At the same time, you contribute actively to the research environment, share your work in progress and engage in constructive feedback with colleagues
-
programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings