Postdoctoral Research Associate (m/f/d) Machine Learning in Battery and Sem at JustusLiebigUniversitt Gieen
35390 Gießen, , Germany -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

0.0

Posted On

03 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Storage Systems, Physics, Data Science, Python, Data Mining, Mathematics, Materials Science, Machine Learning, R, Matlab, C++, Chemistry

Industry

Information Technology/IT

Description

Founded in 1607, Justus Liebig University Giessen (JLU) is a research university rich in tradition. Inspired by curiosity about the unknown, we enable around 25,000 students and 5,800 employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university.
Support us as of now until June 30th, 2027, as a

YOUR QUALIFICATIONS AND COMPETENCES

  • Completed academic university degree in physics, chemistry, materials science, mathematics, computer science or data science (M.Sc., diploma, first state examination or equivalent degree)
  • Completed PhD in physics, chemistry, materials science, mathematics, computer science or data science
  • Self-reliance and self-organization in work
  • Excellent English skills and strong communication and teamwork abilities
  • Previous experience in data science, machine learning and statistical analysis for data mining is a plus
  • Advanced programming skills in Python, C++, R, Matlab, or similar
  • Interest in interdisciplinary work on electrochemical energy storage systems and semiconductor electronics
Responsibilities
  • Development and application of data mining methods to extract information from large datasets
  • Development of simulation models for process diagnostics of electrochemical energy storage systems and semiconductor electronics
  • Participating in and advising the setup of experimental model systems to validate simulation results
  • Development of optimization strategies for electrochemical energy storage systems and semiconductor devices
  • Preparation of scientific publications, participation in (inter)national conferences and project meetings
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