TU-ID: 165 limited to 1 years TU Wien is Austria’s largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.

A senior scientist (all genders) position in Artificial Intelligence in Science and Engineering for chemistry, physics, materials science, and/or mathematics is available at TU Wien. The position is affiliated with the Institute of Materials Chemistry (Research Group for Theoretical Chemistry) and the Institute of Information Systems Engineering (Research Unit of Data Science) . It comprises 40 hours per week (entry possible from 20 hours per week) and is initially limited to one year with the option of extension until the project end, as part of the dataTUdiscovery project. Expected start: March 2026.

The dataTUdiscovery project aims to establish a cross-faculty service center for applied AI Engineering at TU Wien, helping researchers from various faculties integrate AI and Machine Learning into their research workflows. The project aims to lower barriers to AI adoption and strengthen TU Wien’s position in data-driven research and digital transformation.

Tasks:

Research:

• Contribute to the strategic development of the dataTUdiscovery service center in a leading role, including interfaculty cooperation, innovation in AI methodologies, and integration with TU Wien’s digital research ecosystem
• Collaborate with domain researchers based on incoming dataTUdiscovery service center projects across faculties to translate scientific questions into AI-based approaches and co-develop research solutions
• Analyze and interpret scientific data and domain-specific requirements from chemistry, physics, materials science, and/or mathematics to design appropriate AI/ML models and guide methodological choices
• Develop reusable and reproducible AI models, workflows, and software components, contributing to TU Wien’s open research infrastructure (e.g. TU Wien Cookbooks)
• Co-author publications of research results in peer-reviewed journals and potentially present outcomes at international venues to enhance TU Wien’s visibility in Research and AI

Teaching:

• Integration of applied AI topics into teaching, including supervision of interdisciplinary project work, student theses, and student involvement
• Involvement in basic and research-led teaching as well as direct supervision of Bachelor and Master student theses

Your profile:

Required:

• Doctoral degree in chemistry, physics, materials science, mathematics, or a closely related field
• Proven research achievements, including international, peer-reviewed publications in relevant research fields
• Extensive previous experience in developing and applying ML/AI or data-driven modeling methods in their field
• Proficiency in scientific programming and modern AI/ML frameworks
• Strong teamwork, communication, and problem-solving skills, with an interest in interdisciplinary collaboration
• Excellent English language skills (C1 level or higher)

Desired:

• Experience in supervising students or coordinating collaborative research projects
• Familiarity with research data management, reproducible research practices, or computational workflow design
• Interest in developing and maintaining open-source software, AI workflows, or educational materials
• Good German language skills (B2 level or higher)

We offer:

• A wide variety and exciting range of tasks in a collegial team
• A range of attractive social benefits (see Benefits )
• Wide range of internal and external training opportunities, various career options
• Central location of workplace as well as good accessibility (U1/U2/U4 Karlsplatz)

TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.

People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.

Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 5,014.30/month gross, 14 times/year for 40 hours/week. Relevant working experiences may increase the monthly income.

We look forward to receiving your application until March 5th, 2026.

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