Researcher

Universität Siegen; Deutschland; Vor Ort; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading university in Germany seeks a part-time researcher to develop AI algorithms for fault detection in embedded systems starting February 2026. The role requires a Master's degree in relevant fields and knowledge of AI/ML. Candidates should have strong programming skills and a motivation to pursue a PhD. The position is limited until November 2028, with opportunities for professional development and contribution in research projects.

Leistungen

Health management services

Opportunities for scientific qualification

Involvement in research and teaching

Qualifikationen

• Master's degree required, knowledge in AI/ML and programming.
• Familiarity with fault detection techniques is a plus.
• Motivation to pursue a PhD is essential.

Aufgaben

• Develop AI algorithms for real-time fault detection.
• Investigate fault-tolerance mechanisms for edge AI systems.
• Support integration of AI techniques in research projects.

Kenntnisse

AI/ML methods and frameworks (e.g., PyTorch, TensorFlow)

Programming skills (C/C++, Python)

Fault detection and system reliability

Basic understanding of embedded systems

Communication protocols (TCP, UDP)

Ausbildung

Master’s degree in computer science, electrical engineering, mechatronics, or a related field

Jobbeschreibung

Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 31 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 39.83 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We seek:

In the Faculty IV: School of Science and Technology, ETI, Embedded Systems, we are looking for a researcher as of the 01.02.2026 at the following conditions (PhD position):

• 50% = 19,92 hours
• Pay grade 13 TV-L
• limited 30.11.2028
• Develop AI algorithms for real-time fault detection, fault classification, and failure-mode prediction in distributed charging and energy-management environments as part of the BANNER research project
• Investigate fault-tolerance and fault-recovery mechanisms for decentralized edge AI hardware/software.
• Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions.
• Build and test a scenario generator for hardware- and software-level failure modes (e.g., bit flips, memory contention, node unresponsiveness).
• Support the integration and demonstration of the developed AI techniques within the BANNER project for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency

Your profile:

• Master’s degree in computer science, electrical engineering, mechatronics, or a related field.
• Knowledge of AI/ML methods and frameworks (e.g., PyTorch, TensorFlow).
• Basic understanding of embedded systems and communication protocols (TCP, UDP; TSN desirable).
• Familiarity with fault detection, system reliability, or fault-mitigation techniques.
• Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus).
• Motivation to pursue a PhD and contribute to applied AI research.

Our range of services:

• Promotion of own scientific or artistic qualification according to the Wissenschaftszeitvertragsgesetz [act on temporary employment in higher education] (i.e. PhD)
• Diverse opportunities to take on responsibility and make a visible contribution in the research and teaching environment
• A modern understanding of leadership and collaboration
• Health management with a wide range of prevention and counseling services

We look forward to receiving your application by 31.12.2025.

Please apply exclusively via our job portal (https://jobs.uni-siegen.de ). Unfortunately, we cannot consider applications in writing or by e-mail.

Equal opportunities and diversity are promoted and embodied at the University of Siegen. The advertisement is explicitly addressed to people of all genders; applications from women will be given special consideration in accordance with the State Equal Opportunities Act. We also welcome applications from people with different personal, social, and cultural backgrounds, people with severe disabilities, and people of equal status.