We are looking for a candidate that has affinity with computational sciences. Preferably a candidate with experience in deep-learning or machine learning technologies, but any candidate with a background in bioinformatics, computer science, mathematics, or related fields are welcome to apply. We value any affinity with biology, genetics, and/or neuroscience, but this is not required. This position is also open to apply for master students who have not yet graduated. The ideal candidate would (partially) match the following skills:
- Experienced in computer programming, preferably Python.
- Experience with deep-learning or machine learning technologies, such as Keras, TensorFlow, PyTorch, or Scikit-learn, including training models on a GPU.
- Experience with responsible AI, in particular the topic of explainable AI (XAI).
- Experience with working on a high performance compute cluster and/or Unix systems.
- Affinity with genetics at the level of genotyped DNA, or at least a basic understanding of human genetics at high school level.
- Some affinity with neuroscience and/or behavioral sciences.
- Some affinity with research and/or ambition for a career in academic/scientific research.
- Proficiency in Dutch and/or English.
For questions, you can contact Hilleke Hulshoff Pol (h.e.hulshoffpol@umcutrecht.nl) and Jalmar Teeuw (j.teeuw@umcutrecht.nl).