Associate Professor in Machine Learning Operations – DTU Compute

Are you interested in the computational dimensions of AI and can you help build the next generations of AI systems? DTU Compute’s Section for Cognitive Systems has an opening for an Associate Professor in Machine Learning Operations (MLOps).
Are you interested in the computational dimensions of AI and can you help build the next generations of AI systems?

DTU Compute’s Section for Cognitive Systems has an opening for an Associate Professor in Machine Learning Operations (MLOps).

Excellent candidates with experience in MLOps are encouraged to apply. Being affiliated with DTU Compute you will be part of a large, vibrant and welcoming environment which is internationally rooted. The university is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

As a part of your responsibilities as a DTU associate professor, you will:

• Publish impactful work in leading AI conferences and journals.
• Secure funding for your research from national and international sources.
• Teach, guide, and supervise BSc and MSc students, as well as supervise PhD students (co-supervise, if Assistant Professor).
• Actively support and contribute to the BSc AI and Data and the MSc Human Centered AI.
• Actively participate in creating a vibrant and productive research environment.

You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.

Qualifications
As formal qualification you must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Experience and quality of teaching
• Research experience
• Research vision and potential
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The starting date is according to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

The workplace is DTU Lyngby Campus.

Further information
Further information may be obtained from Head of Section, Professor Lars Kai Hansen, [email protected].

You can read more about DTU Compute at www.compute.dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Please submit your online application no later than 15 January 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• Vision for teaching and research
• CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/)
• Teaching portfolio including documentation of teaching experience in machine learning operations
• Academic Diplomas (MSc/PhD)

You can learn more about the recruitment process here.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Adresse:

Matematiktorvet
2800 Kgs. Lyngby