Research Associate (Doctoral Candidate) | Wissenschaftliche*r Mitarbeiter*in (Doktorand*in) (25335)
Bergische Universität Wuppertal
Job Summary
This role offers an ambitious researcher the opportunity to pursue a doctoral degree within the Digital Chemistry group at Bergische Universität Wuppertal. The core focus involves developing cutting-edge, novel approaches for the automated processing and interpretation of experimental raw data, specifically in areas like spectroscopy and electrochemistry. A key responsibility will be applying Machine Learning techniques to predict material properties based on this raw data, requiring close cooperation with experimental scientists. Candidates must hold a Master's degree in Chemistry, Computer Science, or a related discipline, and possess practical programming skills, ideally in Python. Strong experience in computational data processing and theoretical/practical knowledge of Machine Learning methods are essential prerequisites. This position is ideal for researchers seeking a structured academic environment to complete their PhD while contributing to innovative digital chemistry research.
Required Skills
Education
Master's degree (or equivalent) in Chemistry, Computer Science, or a related discipline.
Experience
- Practical experience in programming (ideally Python)
- Practical experience in computer-aided data processing
- Practical experience applying Machine Learning methods
- Experience in research leading to a doctoral degree (PhD)
- Advantageous: Experience with chemoinformatic methods
- Advantageous: Experience with Deep Learning, especially Transformer models
Languages
Additional
- Part-time position (67% of full-time hours). Fixed-term contract, initially up to 3 years, intended for the completion of a doctoral procedure (PhD). Location is Bergische Universität Wuppertal, Germany.
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