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

Justus-Liebig-Universität Gießen; Gießen; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

L'Université Justus-Liebig de Gießen recherche un Postdoctorant en apprentissage automatique pour un projet innovant dans le domaine du stockage d'énergie et de l'électronique semi-conductrice. Le candidat idéal sera titulaire d'un doctorat, avec une solide expérience en science des données et en programmation. Ce poste offre des horaires flexibles et une multitude d'opportunités de formation dans un environnement de recherche dynamique.

Leistungen

Heures de travail flexibles

Utilisation gratuite des transports publics locaux

Plus de 100 séminaires de formation et ateliers par an

Retraite d'entreprise et allocations familiales

Meilleure compatibilité entre la famille et la carrière

Qualifikationen

• Doctorat requis dans des domaines spécifiques.
• Compétences avancées en programmation et en apprentissage automatique.
• Capacités de communication et d'organisation autonomes.

Aufgaben

• Développement et application de méthodes de data mining.
• Création de modèles de simulation pour le stockage d'énergie.
• Préparation de publications scientifiques et participation à des conférences.

Kenntnisse

Data Science

Machine Learning

Statistical Analysis

Teamwork

Communication

Ausbildung

PhD en physique, chimie, science des matériaux, mathématiques, informatique ou data science

Diplôme universitaire en physique, chimie, science des matériaux, mathématiques, informatique ou data science

Tools

Python

C++

R

Matlab

Jobbeschreibung

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 th , 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 theJunior 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 July 29 rh , 2025 indicating reference number 399/Z. We look forward to receiving your application.