Research Associate / Scientific Staff Member (m/f/d) | Wissenschaftliche Mitarbeiterin/ Wissenschaftlicher Mitarbeiter (m/w/d) 91/2026
TU Bergakademie Freiberg
Job Summary
This position involves conducting research on sustainable and efficient production processes, specifically focusing on the digitalization of process engineering. You will optimize a filtration process using model-based predictive control, collaborating with TU Munich and an industrial advisory board. Key tasks include developing and experimentally researching process control, acquiring and analyzing process data to understand structure-process relationships, and process modeling. The role requires a Master's or Diploma degree in a relevant engineering or science field, with knowledge in mechanical process engineering being advantageous. The position offers a fixed-term contract until December 31, 2028, with opportunities for further scientific development, such as a PhD, and attractive benefits like flexible working hours and a job ticket.
Required Skills
Education
Diploma or Master's degree in Process Engineering, Environmental Engineering, Chemical Engineering, Physics, Applied Natural Sciences, or a comparable field.
Experience
- Professional experience in research
- Experience in process engineering or related fields
- Experience in filtration or particle technology is desirable
- Experience in process control and data analysis is desirable
- Interest in scientific further education (e.g., PhD)
Languages
Additional
- Must meet the employment requirements for fixed-term contracts according to WissZeitVG. Proof of severe disability or equivalent status is required for preferential consideration. Qualified women are explicitly encouraged to apply.
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