Research Assistant - Institute of Data Science 25/Sa15

European Commission; Deutschland; Vor Ort; EUR 40.000 - 55.000; Vollzeit

Zusammenfassung

A prestigious institution in Germany seeks a full-time Research Assistant within its Machine Learning Group. The role focuses on developing innovative Graph Neural Network algorithms, supporting academic growth towards a doctorate, and offers a vibrant research environment with ample resources. Candidates with a solid educational background in computer science, programming prowess, and an interest in machine learning will find this opportunity particularly rewarding.

Leistungen

Access to a dedicated computing cluster (BRAIN)

Collaborative work environment

Qualifikationen

• Good grades in degree related to computer science, physics, mathematics.
• Basic knowledge of machine learning and deep learning.
• Knowledge of discrete mathematics and graph theory.

Aufgaben

• Conduct research and teaching services.
• Develop algorithms in Graph Neural Networks.
• Publish results in journals and at conferences.

Kenntnisse

Strong programming skills

Knowledge of Python

Teamwork

Communication skills

Independent work style

Ausbildung

University degree (master's or equivalent) in computer science

Doctorate in computer science

Tools

PyTorch

Keras

Git

Jobbeschreibung

Organisation/Company: University of Greifswald

Department: Human Resources

Research Field: Computer Science

Researcher Profile: First Stage Researcher (R1)

Positions: Master Positions

Country: Germany

Application Deadline: 27 Jul 2025 - 23:59 (Europe/Berlin)

Type of Contract: Permanent

Job Status: Full-time

Hours Per Week: 40

Funding: Not funded by a EU programme

Research Infrastructure: No

Offer Description

Within the Machine Learning Group at the University of Greifswald’s Institute of Data Science in the Faculty of Mathematics and Natural Sciences, a full-time Research Assistant position is available for an earliest possible appointment for a limited period of 36 months. There is an option to extend the contract. Payment will be according to pay group 13 TV‑L Wissenschaft. The position is suitable for part-time employment.

The focus is on developing novel Graph Neural Network (GNN) algorithms to address challenges in dynamics, oversmoothing, or expressivity, with applications in predicting molecule properties, optimizing PCB schematics, or solving power grid problems.

• Conduct research and teaching services
• Develop algorithms in Graph Neural Networks
• Perform simulations to evaluate algorithms
• Evaluate algorithms using statistical methods
• Publish results in journals and at conferences
• Participate in organizational and representative tasks

Tasks will support the preparation of a doctorate, habilitation, or equivalent qualification.

Job requirements

• University degree (master's or equivalent) in computer science, physics, mathematics, or related field with good grades
• Strong programming skills
• Basic knowledge of machine learning and deep learning
• Knowledge of Python or willingness to learn
• Independent and goal-oriented work style
• Teamwork and communication skills
• Doctorate in computer science (if working towards habilitation)
• Knowledge of discrete mathematics and graph theory
• Experience with deep learning libraries like PyTorch or Keras
• Knowledge of Git or similar version control systems

We offer an exciting research topic in a growing field, a collaborative work environment, access to a dedicated computing cluster (BRAIN), and support from the Machine Learning Group in Greifswald.

This vacancy is open to all genders, with preference given to severely disabled applicants with the same qualifications.

Application costs are not reimbursed. By applying, you consent to data processing as per data protection law. Applications should be sent via email as a single PDF to the provided address by 27 July 2025, referencing job ad 25/Sa15. The application should include a CV, cover letter, certificates, and grades.