Tenure-track Assistant Professor, Associate Professor or Full Professor of Machine Learning
Department of Computer Science
Faculty of Science
University of Copenhagen
The position is open from 1 February 2024 or as soon as possible thereafter.
The Department of Computer Science at the University of Copenhagen (https://di.ku.dk/english/) invites applications for a number of positions as Tenure-track Assistant Professor, Associate Professor, or Full Professor in Machine Learning.
It is a high priority at the Department of Computer Science to foster a research environment of highest excellence allowing people from diverse backgrounds to thrive. The successful applicant will join a rapidly growing and highly international department, with strong research in Machine Learning and Artificial Intelligence, Algorithms and Complexity, Natural Language Processing and Information Retrieval, Image and Medical Image Analysis, Bioinformatics, Human-Centered Computing, Software Engineering and Data Management, Programming Languages, and other areas of computer science. The department is heading 2 centers within Artificial Intelligence: the SCIENCE AI Center (https://ai.ku.dk/) and the Pioneer Center within Artificial Intelligence (https://di.ku.dk/ai-centre/).
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.
We are looking for candidates to strengthen and complement the research profile of the department within machine learning in the broad sense. Research areas of interest include, but not limited to:
Machine learning theory
Development of machine learning tools for specialized domains
Scalable and efficient machine learning
Applications of machine learning to sustainability, including environment and the energy sector
Quantum machine learning
Societal aspects surrounding the use of machine learning, such as fairness, ethics, and privacy.
Potential candidates are expected to have a publication track record at the premier venues within machine learning, including, but not limited to NeurIPS/ICML/COLT/JMLR.
Read more about the Department at http://www.science.ku.dk/english/about-the-faculty/organisation/.
The deadline for applications is Sunday 6th August 2023.
Please find the full job advertisement at http://employment.ku.dk/.
Only electronic applications are accepted. |