Postdoc in AI-Based Language Learning Systems- DTU Engineering Technology

Are you passionate about combining artificial intelligence human-centred design and education technology to make learning more accessible and adaptive

We invite you to join the Department of Engineering Technologyat DTU where you will contribute to the European AI-Based Personal Language Learning Assistant project an Erasmusfunded collaboration across Denmark Belgium Slovakia and the Czech Republic.
The project aims to design implement and evaluate an AI-driven language learning assistant that adapts to each learners background pace and needs supporting especially migrants and disadvantaged learners through an inclusive digital transformation.

You will become part of a diverse and interdisciplinary environment that bridges computer science pedagogy andmodern artificial intelligence. The position is anchored in the section Energy Technology and Computer Science known for close collaboration with industry educational institutions and EU partners.

Responsibilities and qualifications
Your main responsibility will be to conduct applied research and development within the projects technical and pedagogical scope. Specifically you will:

• Develop and fine-tune large language model (LLM)-based tutoring and dialogue systems for personalized language learning
• Integrate speech recognition and pronunciation evaluation components into adaptive learning workflows
• Collaborate with pedagogical researchers to align AI feedback with didactic principles and educational quality standards
• Conduct user studies and pilot evaluations across partner institutions to assess effectiveness and inclusion
• Contribute to scientific publications technical deliverables and open-source dissemination

You will work closely with Assistant Professor Lei You (Co-PI and technical lead) combining technical and didactic perspectives in a cohesive team.

Your overall focus will be to strengthen the departments research andstudent supervision within computer science to fulfil the increasing demand for academic as well as industrial knowledge within this field and competencies across multiple engineering programs. To do so you will:

• Develop the research field by identifying knowledge gaps of scientific academic and industrial relevance
• Contribute to and take leadership at different stages of project development
• Conduct and in time lead research projects with high visibility in the international networks of relevance through publications and collaborations
• Co-supervision of bachelor and master studentswithin the above-mentioned fields

Qualifications:

• PhD degree (or equivalent) in Computer Science Artificial Intelligence or a closely related field
• Solid experience in one or more of the following: NLP speech processing human-AI interactionor agentic-AIsystems
• Strong programming skills in Python and familiarity with modern ML frameworks (e.g. PyTorch Hugging Face TensorFlow)
• Interest in applied educational contexts and collaborative interdisciplinary work
• Excellent command of English (written and spoken); Danish is an advantage but not required

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

• Research experience
• Research vision and potential
• International impact and experience
• Societal impact
• Innovativeness including commercialization and collaboration with industry
• 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 position is full-time for 18 months with an expected starting date of 1 April 2026 (or according to mutual agreement).

The workplace is the Department of Engineering Technology at the DTU Ballerup Campus.

You can read more about career paths at DTU here.

Further information
Further information may be obtained fromthe Assistant Professor Lei You or Head of Section Mehdi Savaghebi

You can read more about DTU Engineering Technology at

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

Application procedure
Please submit your online application no later than 31January 2026 (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)
• CV including employment history list of publications(applicants applying for the position as associate professor should indicate scientific highlights) H-index and ORCID (see research statement (max 2 pages) describing your fit and interests in relation to the project
• 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.

About DTU Engineering Technology
We work at the forefront of university-industry collaboration and develop tools and methods for technology implementation. We are organized in 7 sections all focused on technology implementation engineering technology and engineering education within a wide range of engineering fields.

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 UNs 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 13500 students and 6000 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.