Postdoctoral Research Associate (m/f/d) in the field of Machine Learning in Battery and Semicon[...]

Justus-Liebig-Universität Gießen; Gießen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A prestigious research university in Gießen is seeking a Postdoctoral Research Associate to work on machine learning in battery and semiconductor research. You will develop data mining methods and simulation models, participate in scientific publications, and attend international conferences. This position offers flexible working hours and other perks, alongside a commitment to diversity and inclusion.

Leistungen

Free local transport

Training seminars and workshops

Health and sports activities

Company pension scheme

Child allowance

Qualifikationen

• Completed academic university degree in physics, chemistry, materials science, mathematics, computer science or data science.
• Completed PhD in relevant discipline.
• Self-reliance and self-organization in work.

Aufgaben

• Develop and apply data mining methods to extract information from large datasets.
• Develop simulation models for process diagnostics.
• Prepare scientific publications and participate in conferences.

Kenntnisse

Data mining methods

Simulation models

Optimization strategies

Excellent English skills

Communication abilities

Programming in Python

Experience in data science

Ausbildung

PhD in relevant field

Completed academic university degree

Tools

Python

C++

R

Matlab

Jobbeschreibung

Overview

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 30, 2027, as a Postdoctoral Research Associate (m/f/d) in the field of Machine Learning in Battery and Semiconductor Research.

The position is part of the third-party funded project: "EFRE Innovationslabor Prozessdiagnostik für energieeffiziente und ressourcenschonende Technologien” of the Junior Research Group of Dr. Janis Kevin Eckhardt at the Center for Materials Research. The salary is in accordance with the collective labour agreement of the State of Hessen (E 13 TV-H).

Your tasks at a glance

• 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

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

Our offer to you

• A varied job with flexible working hours
• Free use of local public transport (LandesTicket Hessen)
• More than 100 training seminars, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities
• Remuneration according to TV-H, company pension scheme, child allowance and special payments
• Good compatibility of family and career (certificate "audit familiengerechte hochschule")

JLU welcomes qualified applications regardless of biological and social gender, disability, nationality, ethnic and social origin, religion, ideology, age as well as sexual orientation and identity. The JLU aims for a higher proportion of women in accordance with the women's promotion plan. We therefore particularly encourage qualified female candidates to apply. JLU is certified as a family-friendly university. According to the Hessian Equal Rights Act, a division of the position into two part-time positions with 50% of the regular working hours is generally possible. Applications from disabled people of equal aptitude will be given preference.

You want to break new ground with us?

Apply via our online form by September 30, 2025 indicating reference number 466/Z. We look forward to receiving your application.