News | LTH Profile Area: AI and Digitalisation
How the brain listens – and to what
Have you heard of the cocktail party effect? When you are in a crowded space, you can direct your hearing and choose who in the room to listen to. Oskar Keding, doctoral student in mathematical statistics, has investigated how selective auditory attention can be measured and applied, for example in developing hearing aids.
MSCA Doctoral Network on Knowledge and Practices for AI Governance Awarded
The AI and Society research group at LTH has been awarded a place in a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, following strong competition for funding from the Horizon Europe research programme.
Unprecedented interest in Lund University’s recruitment – LTH welcomes AI researcher
There has been a record-breaking number of applicants for Lund University’s international recruitment drive. The original total of 25 advertised positions has been increased to 45 – researchers from some of the world’s leading universities who are now heading to Lund. LTH welcomes AI-researcher Danqing Shi to the faculty.
Interested in doing research within AI and Digitalization?
Would you like to do research within AI and Digitalization? On this page, we post positions within AI and Digitalization at LTH.
Dissertations within AI and Digitalization
Reliable robots, brain-computer interfaces, and computing for AI are some of the topics covered in doctoral theses within AI and Digitalization during the fall 2025.
LTH project receives funding from Vinnova to plan future technology clusters
Vinnova has granted funding for the planning of clusters of excellence for groundbreaking technology. Of the 45 projects approved, five are at The Faculty of Engineering, Lund University.
Robot learning from all angles
Research on robot learning spans from interpretation of sensing data to a robot executing actions in the real world, disciplines the organizers of the ELLIIT focus period on robot learning now bring together in Lund from beginning of November.
Safety and reliability first
For robots to work and collaborate with humans in real-world environments, their functioning must be safe and reliable. Momina Rizwan, PhD Student in Software Development and Environments, has investigated these aspects of autonomous robots in changing environments.
Doctoral thesis in applied mathematics: Artificial fingerprints train safer AI
Donglin Liu, a doctoral student in applied mathematics, has used several different mathematical models in order to improve artificial intelligence at a fundamental level.
Doctoral thesis in biomedical engineering: AI analyses of magnetic resonance imaging examinations
Magnetic resonance cameras are used routinely for evaluating normal heart functions and to discover heart disease.