The group of Prof Sach Mukherjee has an opening for a PhD candidate in the area of artificial intelligence (AI) for biomedicine. Our research efforts centre on AI, machine learning (ML) and high-dimensional modelling for next-generation biomedicine. Current methodological foci include deep neural networks for causal learning; robust, scientifically-constrained AI; and high-dimensional learning. Applications span large-scale molecular biology and "omics" as well as precision medicine. The focus of the position is on novel methodology for complex, high-dimensional data.
Qualifications:
- Degree in a mathematical or computational field (e.g. mathematics or computer science).
- A strong academic background and experience in one or more relevant programming languages (Python, R, Julia etc.) are important as well as a clear interest in the data sciences (AI, ML, statistics) per se.
- A strong background in AI, ML or statistics or related topics (e.g. probability, optimization, stochastic processes etc.) would be relevant.
- Prior exposure to biomedical research is not required.
- Strong scientific communication and writing skills are important.
- No German language skills are required.
Applications should consist of a single PDF file including a curriculum vitae, degree transcripts, and two references.
Deadline: September 30, 2024
Monthly based
Vogtei, Thuringia, Germany
Vogtei, Thuringia, Germany