Research Associate (m/f/d) in the field of Machine Learning in Battery and Semiconductor Research

Justus-Liebig-Universität Gießen; Gießen; Vor Ort; EUR 50.000 - 60.000; Vollzeit

Zusammenfassung

La Justus-Liebig-Universität Gießen recherche un associé de recherche en apprentissage automatique dans le cadre d'un projet financé. Le candidat idéal aura un doctorat et des compétences en data science, machine learning et programmation. Ce poste offre un environnement dynamique avec des horaires flexibles et de nombreuses opportunités de développement personnel.

Leistungen

Utilisation gratuite des transports publics locaux

Plus de 100 séminaires de formation par an

Bon équilibre entre vie professionnelle et vie privée

Qualifikationen

• Diplôme universitaire requis (M.Sc., diplôme ou équivalent).
• PhD en domaine pertinent requis.
• Compétences avancées en programmation nécessaires.

Aufgaben

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

Kenntnisse

Data Science

Machine Learning

Statistical Analysis

Communication

Teamwork

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

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 aims to employ more women in academic research. We therefore particularly encourage female candidates to apply. JLU is regarded as a family-friendly university. Applicants with children are very welcome. 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 June 3 rd , 2025 indicating reference number 328/Z. We look forward to receiving your application.