Research Graduate Jobs in Renningen, Germany

“Master Thesis at (COMPANY NAME) in Continual Learning with Agentic Memories. Focus on improving memory and token efficiency in agentic systems using LLMs. Hybrid work model (70% remote, 30% on-site). Requires strong ML background, PyTorch proficiency, and research-oriented mindset. Duration: 6 months.”

“PhD position at (COMPANY NAME) in Precision Medicine focusing on automated isolation, enrichment, and NGS library preparation techniques using microfluidic systems. Requires expertise in molecular biology, NGS, and lab-on-chip systems. Collaboration with interdisciplinary team, presentations, and innovative research in a supportive corporate culture.”

“PhD position at (COMPANY NAME) for developing next-gen protein diagnostics on the Vivalytic point-of-care platform. Focus on assay technology research, microfluidic system development, and interdisciplinary collaboration. Requires strong background in biochemistry/molecular biology, protein assays, and German/English proficiency. Start flexible, university-dependent.”

“(COMPANY NAME) is seeking a Research Scientist specializing in Agentic AI, Reinforcement Learning, and Neuro-Symbolic Systems. The role involves leading research on intelligent AI systems for goal-directed behavior, combining RL, structured reasoning, and knowledge representation. Requires a PhD in a relevant field, strong publication record, and experience in agentic AI, neuro-symbolic systems, and Python frameworks. Offers flexible working models and a collaborative, inclusive environment.”

“Promotion bei (COMPANY NAME) in Renningen zur CFD-Simulation und Modellierung von Laserbearbeitungsprozessen, insbesondere Laserstrahlschweißen. Entwicklung digitaler Prozessketten mit OpenFOAM/Flow-3D, Integration in Industrieprojekte, Veröffentlichung in Fachzeitschriften und Präsentation auf Konferenzen. Anforderungen: Master in Physik/Maschinenbau, CFD-Erfahrung, Programmierkenntnisse (Python/C++), Deutsch/Englisch.”

“Masterarbeit bei (COMPANY NAME) in Renningen zur Ermittlung der verfügbaren Sichtweite für Motorradsicherheitssysteme. Analyse von Algorithmen, Entwicklung neuer Ansätze (z.B. kamerabasiert) und Validierung mit empirischen Daten. Anforderungen: Masterstudium in Data Science/Mathematik/Mechatronik, Python/C++-Kenntnisse, Deutsch/Englisch. Hybridarbeit möglich. Beginn nach Absprache.”