You optimize code for electronic applications and develop scalable Reinforcement Learning environments, while also improving code readability and assisting with general engineering problem-solving.
Anforderungen
- •Student in Computer Science or related field
- •Knowledge of Python, Jax, or C++
- •Knowledge of Parallel computing
- •Independent and goal-oriented working style
Deine Aufgaben
- •Optimize existing code for electronics applications.
- •Implement multi-CPU and multi-GPU usage.
- •Write fast and scalable Reinforcement Learning environments.
- •Assist in optimizing general engineering problems.
- •Document and enhance code readability.
Deine Vorteile
Insight into research projects
Cutting-edge technical equipment
Varied project work
International working environment
Personal development opportunities
Good career prospects
Flexible working hours
Proximity to campus
Original Beschreibung
City:
Erlangen
Date:
Jun 23, 2025
# Werkstudent\*in - Software Development for Engineering Applications
**What you will do**
* Optimizing existing code for electronics application considering multi-CPU and multi-GPU usage (implementation in jax and/or numpy and/or C++)
* Writing fast and scalable Reinforcement Learning environments for engineering problems
* Assisting in optimizing general engineering problems
* Documenting and enhancing code readability
**What you bring to the table**
* Student in the field of Computer Science, Electrical Engineering, Physics, Mathematics or another related degree program with a scientific or engineering focus
* Knowledge of Python/Jax/C++
* Knowledge of Parallel computing
* Independent, goal-oriented and responsible working style
**What you can expect**
* Insight into exciting research projects
* Cutting-edge research thanks to top technical equipment
* Practical relevance through interesting and varied project work in innovative and dynamic teams
* An international working environment
* Personal development opportunities
* Good career prospects as a springboard into various career directions (universities, industry, other research institutions, etc.)
* Flexibility in the organization of working hours and thus optimal compatibility of studies and practice
* Proximity to campus
The position is initially limited to one year.
Your weekly working hours will be agreed by arrangement. You can determine your working days flexibly.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.
**Job Segment:**
R&D Engineer, Computer Science, Developer, Application Engineering, Part Time, Engineering, Technology