Research and identification of innovative and market-relevant research topics in the field of machine learning, as well as acquisition of new research partners and collaborations.
Research and identification of promising calls and announcements (national and international) in the areas of AI and ML.
Drafting project outlines and proposals, including developing technical approaches, project planning, and go-to-market perspectives.
Collaborating with our ML scientists to understand client needs and define research areas based on them.
Supporting the strategic direction of the company.
Designing technical concepts and project proposals for our industrial and public-sector projects.
Requirements
You are studying a scientific or technical subject such as Mathematics, Physics, Computer Science, or a business-related field like Business Informatics, Business Administration (BWL), or similar.
You have a strong enthusiasm for Artificial Intelligence and Machine Learning and want to drive innovative research in this area.
Advantageous but not required: You have initial theoretical or practical experience implementing ML algorithms or using ML frameworks, for example through a university project.
You can translate technical and complex concepts into clear, understandable language.
You work independently and in a structured way, with strong analytical ability and a proactive mindset and a drive to contribute.
Your German language skills are at least C1 level and you have very good written communication skills.
Benefits
Flexible work: We offer hybrid work models with remote options — adapted to your studies.
Great location: Our office is centrally located in Berlin-Kreuzberg — excellent public transport links and other city-office benefits.
Team culture: Work in an open, diverse, and international team.
Rapid learning: Take on responsibility early in a young company and develop quickly.
Make an impact: Contribute actively and help shape the development of dida and AI research.
Working Student, Business Development & Innovation Management at Datenschmiede | JobVerse