115 machine-learning-"https:"-"https:"-"https:"-"IMT---Atlantique" PhD positions in Netherlands
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- University of Twente
- Delft University of Technology (TU Delft); Published yesterday
- Radboud University
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft); yesterday published
- Utrecht University
- Vrije Universiteit Amsterdam (VU); Published today
- University of Groningen; Published yesterday
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University
- University of Amsterdam (UvA); Published today
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Published today
- KNAW
- Radboud University Medical Center (Radboudumc); Published yesterday
- University of Amsterdam (UvA); Published yesterday
- University of Twente (UT)
- DIFFER
- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Erasmus University Rotterdam (EUR); yesterday published
- Leiden University; yesterday published
- Maastricht University (UM); 18 Oct ’25 published
- Maastricht University (UM); Published today
- Maastricht University (UM); Published yesterday
- Maastricht University (UM); today published
- Radboud University Medical Center (Radboudumc); Published today
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); Published yesterday
- University Medical Center Utrecht (UMC Utrecht); today published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); Published 14 Nov ’25
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); yesterday published
- University of Twente (UT); today published
- Utrecht University; Published yesterday
- Utrecht University; today published
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
- Wageningen University & Research; today published
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will include boosted final states. The analysis strategy is strongly focused on advanced machine learning techniques, developing attention-based transformer models that will directly classify events from
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considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA
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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods
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. Nice to have: Practical experience with machine-learning frameworks (e.g., PyTorch). Prior tape-out experience (ASIC or a complex FPGA prototype) and familiarity with the digital back-end flow (synthesis
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collaborative, diverse team. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic
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solutions for medical challenges via signal and system analysis. The Computer Architecture for Embedded Systems (CAES) group conducts research and education in computer architecture and computing systems with
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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University Medical Center Utrecht (UMC Utrecht); Published yesterday | Netherlands | about 2 months ago
for non-invasive cancer diagnosis and monitoring treatment response. This research focuses on developing this technology for clinical MRI machines for brain, breast, and prostate cancer, three
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-on monitoring with cutting edge data-driven and physical based models, including the deployment of machine learning algorithms. The project aims to have a tangible impact on the way urban waters are monitored
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, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job requirements Must haves: Master’s degree in