Part-time Research Assistant in in GenAI-Enhanced Educational Assessment an at Danmarks Tekniske Universitet

Kongens Lyngby, Capital Region of Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Learning Technology, Generative AI, Assessment and Feedback, Pedagogical Methods, Learning Theories, Participatory Design, Statistics, Learning Analytics, User Experience Design, Research Coordination, Empirical Research, Training Development, Literature Review, Project Reporting, Scientific Writing, E-Learning Content Development

Industry

Research Services

Description

Are you interested in supporting research on learning technology, particularly, generative artificial intelligence (GenAI) for assessment and feedback? Are you motivated to support research on how GenAI can be integrated and adopted in higher education assessment practices? Do you want to contribute to the coordination and execution of an international research project? We are looking for an experienced “project coordinator” with empirical research and reporting experience on some of the following relevant topics: Digital Learning Technology Generative AI Assessment and Feedback in Higher Education Pedagogical methods and learning theories Participatory design Statistics and learning analytics User experience design methods and tools Primary areas of responsibility You will be part of the “HEGenAI” Erasmus; KA2 project that explores how Generative Artificial Intelligence can be embedded into assessment and feedback processes to enhance learning and support educators. Hosted in the Statistics and Data Analysis Section at DTU Compute, as a member of LearnT – Centre for Digital Learning Technology, you will support LearnT’s role in coordinating the project’s empirical research, educator training, and the application of AI-based learning strategies. You will contribute to the HEGenAI project by supporting and coordinating activities on the design, implementation, and evaluation of AI-supported assessment tools, literature reviews, and development of training modules aimed at strengthening educators’ digital and pedagogical competencies. The LearnT centre focuses on the design, adoption, evaluation, and training of digital learning technologies in the contexts of classrooms of science, technology, engineering, and mathematics (STEM) higher education programs, high schools and elementary schools, and workplace training. The competence in the centre, led by Associate Prof. Md Saifuddin Khalid, focuses on the integration of established pedagogical techniques with UX and statistical methods for the design and implementation of digital learning technologies with the aim of improving the quality of learning experience. You will be working in collaboration with the researchers and other roles associated with the project, funding support colleagues, and educators, students and other roles in higher educational institutions. You will collaborate with a team of four researchers with expertise in user experience and information systems design, AI, digital learning technologies, and software technologies. You are expected to be able to handle some proportion of the following: support the process and report the results of systematic literature review and empirical research on pedagogical methods, technological solutions, and didactic design dimension of the digital learning technologies and learning contexts. support the process, coordinate and report the results of empirical research including but not limited to design and conduct observation, interviews, and co-design workshops for the design, integration, and evaluation of digital learning technologies coordinate writing the project results and deliverables, tracking and coordinating the key performance indicators, support the dissemination of project results in national and international forums including writing articles in the print and social media prepare and coordinate content publishing for the website and other media for the dissemination of project outcomes Our expectations of you You: must have a master’s degree in information systems, Information Technology, Techno-Anthropology, Computer Science from Denmark and a related degree in the bachelor level should have a course on user experience or service design and innovation, or similar work experience must have strong motivation to conduct research on digital learning technologies as part of a multi-disciplinary team must be able to communicate in English, both written and spoken. Further it is considered beneficial if you have supported and contributed to project reporting and scientific writing in the field of education or e-learning have knowledge about various teaching cultures beyond the Danish educational context, e.g. knowledge from other countries. have experience in organizing training events and developing e-learning content Assessment The assessment of the applicants will be made by Associate Professor Md Saifuddin Khalid and Head of Statistics and Data Section Professor Bo Friis Nielsen. We offer We offer an interesting and challenging job in an international atmosphere with the focus on research, teaching, innovation and scientific advice for the benefit of the surrounding community. We place emphasis on a high level of professionalism among our staff, so skills development is an integral part of our organization. DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The employment period for this part-time position is 18 months with 8 hours per week. Preferred starting date is 15 March 2026 or according to mutual agreement. The workplace is DTU Lyngby Campus. You can read more about career paths at DTU here. Further information Further information may be obtained from Associate Professor Md Saifuddin Khalid, tel.: 45 2912 8499. 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 Your complete online application must be submitted no later than 20 February 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 Academic Diplomas (MSc) 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 DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at www.compute.dtu.dk. 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.

Responsibilities

You will support and coordinate activities on the design, implementation, and evaluation of AI-supported assessment tools, literature reviews, and development of training modules. You will collaborate with researchers and educators to enhance learning and support educators in higher education assessment practices.