Research Scientist conducting applied research on healthcare data at Phare using AI technologies. Designing experiments and collaborating with MLOps to create measurable impact in the healthcare industry.
FR
Onsite Research Associate – Application of Industrial AI for Production Optimization
Posted 2 weeks ago
About the role
- Researcher applying industrial AI for production optimization at Fraunhofer Institute. Involves projects integrating AI into assistance systems and process optimization.
Responsibilities
- Work on innovative research projects with a focus on integrating AI and connectivity technologies into digital assistance systems and solutions for process optimization
- Execute industry projects: address industrial challenges within digitally integrated production by developing and implementing pilot projects and transformation strategies in close collaboration with industry partners
- Identify industry needs: analyze industrial issues related to the introduction of AI systems in SMEs and large enterprises
- Shape and demonstrate forward-looking technologies: further develop and test technologies for production optimization based on industry requirements and integrate research results into practical demonstrators
- Project acquisition
- Publish and present research results through papers and presentations at conferences and professional events
Requirements
- Completed university degree in Information Technology in Mechanical Engineering, Technical Computer Science, Mechanical Engineering, Physical Engineering Sciences, or a related discipline
- Excellent organizational skills demonstrated by structured time management, a high degree of independence and carefulness in task execution
- Strong analytical skills, characterized by systematic problem solving and data- and fact-based decision making
- Excellent teamwork and communication skills in German (min. C1) and English, both written and spoken
- Solid software development knowledge, in particular programming with Python and other advanced programming languages
- Prior experience in AI, especially in multi-agent systems, generative AI or reinforcement learning, is desirable
- Interest in academic research, digital solutions for production engineering and in solving customer-specific problems for SMEs and large enterprises
Benefits
- Opportunity to pursue a doctorate
- Insight into exciting research topics and industrial challenges
- Varied tasks at a high scientific level with freedom to implement your own ideas
- Work in a collegial team with the latest technologies
- Personal development opportunities through a wide range of training measures
- Support for work–life balance through flexible working hours, part-time models and the possibility of occasional mobile/remote work
- Company pension plan
- Fringe benefits in the form of discounts via Corporate Benefits and a job ticket
- Equal opportunities and a balanced work–life culture
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