Scientific Programmer AI

Main responsibilities 

• You successfully apply cutting-edge AI methods to improve system’s qualities such as performance and diagnosability, and to modernize engineering workflows by advanced (generative) AI techniques. 
• You will share insights that you gain during your research with both the industrial partners and the scientific community. 
• You will bridge academia and industry practice.
• You will assess current engineering processes and identify opportunities for (generative) AI integration to formalize knowledge for (probabilistic) inference in machine diagnostics.
• You will provide expert guidance on AI best practices, tools, and methodologies to engineering teams.

Requirements

• Master or PhD degree graduate in a field related to knowledge engineering, data science, (probabilistic) inference methods or (generative) AI.
• Five or more years of experience in applied research.
• Experience with graph-based approaches (e.g., knowledge graphs, probabilistic graphical models, graph-variational autoencoders).
• Proficiency in developing and maintaining Python-based code architectures following best practices.
• You can develop proofs of concept, prototype solution scenarios, and evaluate their feasibility, constraints, and benefits to support the adoption of innovative approaches in industrial environments.
• You have a system-level mindset with great attention to detail.
• Effective communication and collaboration abilities, with demonstrated experience working in multidisciplinary teams and explaining complex AI concepts to various stakeholders.
• Experience with MBSE modelling frameworks, such as SysML and Capella, is a nice-to-have.

Who are you?

• You are a goal-oriented professional energized by delivering high-quality results.
• You enjoy teamwork and actively contribute to guiding both partners and colleagues towards successful outcomes. At the same time, you are capable of working independently and seamlessly integrating your individual contributions with those of the team.
• You thrive in a multidisciplinary team of research fellows, industrial partners and academic collaborators, working closely with the partner’s team on-site, and ensuring alignment with project objectives and timelines.

Please note that if you do not hear back from us within 10 days of your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually; however, due to a high volume of responses, it can be that we have not been able to reject your application in person.

We kindly request that recruitment agencies do not contact us regarding this vacancy. We are not seeking assistance and will not be liable for any fees or charges associated with unsolicited CVs or candidate introductions. Any candidates submitted by agencies without prior written agreement will be considered our direct applicants and may be employed without obligation or fee.