Research Associate (Doctoral Candidate) | Wissenschaftliche*r Mitarbeiter*in (Doktorand*in) (25335)

Bergische Universität Wuppertal

Wuppertal, Nordrhein-Westfalen, Deutschland
Published Nov 27, 2025
Part-time
Fixed-term

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

English (Fluent)

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.