IT student worker with profound knowledge of ML, ESG Reporting at Department of Computer Science at the Machine Learning Section
The Department of Computer Science at The Science Faculty, University of Copenhagen is looking for one or two IT Student workers from September/October 2025 to December 2026.
We’re looking for candidates with experience or interest in machine learning and computer vision, and who has worked with industry on tasks related to ESG reporting. A strong programming background is expected, especially in Python, along with solid experience using deep learning frameworks like PyTorch or JAX. An interest in Earth Observation and Remote Sensing is a welcome bonus.
About us
At The Department of Computer Science and the section of Machine Learning the activities range from research into the theoretical foundations of machine learning to applications within a broad set of domains, including information retrieval, medical data analysis, remote sensing, sustainability, and modelling of biological data. We participate in the SCIENCE AI Centre at the University of Copenhagen. The Machine Learning Section is also a part of the AI Denmark project to which this position will be working on.
Tasks
The IT workers will work on a range of tasks, from developing dynamic ESG reporting tools using activity data to tackling broader machine learning challenges, particularly around building efficient and scalable models.
Your task will include:
We offer an opportunity to using your skills to work on real industry projects and being a part of the Ai Denmark community. You will be seated at the Machine Learning section with a lot of really talented researchers. As part of the Ai Denmark project you get to influence what kind of projects you want to work on, but sometimes projects pivot and you also get a chance to be a part of a team, that will handle that.
Terms of salary and employment
The employment is made in accordance with the Collective Agreement between the Danish Ministry of Taxation, The Confederation of Teachers Unions and CO10 – The Danish confederation of public employees of 2010 (LC/CO10 Collective Agreement) and by the Professional Agreement for IT Staff (PROSA) in government service.
Employment will be as IT Officer. The salary is based on seniority. Negotiation for salary supplement is possible. The working hours are 10-15 hours per week, to be agreed with the selected candidate. The working hours are flexible.
Your application
If you find the job interesting, please send an electronic application with attachment via Jobportalen (click on the link "Apply Now" at the bottom of the post) no later than August 11th.
Interviews will take place between August 12 and 15.
The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.
Further questions
Any questions about the position may be directed to Ankit Kariryaa, Tenure Track Assistant Professor, Machine Learning Section, Department of Computer Science. Email: ak.di.ku.dk
The University of Copenhagen (UCPH) is in the process of implementing a new joint administrative organization and new workflows, which will bring changes in the coming years. You can read more here.
Arbejdstid: Dag
Ansøg her
Tilbage til søgning
The Department of Computer Science at The Science Faculty, University of Copenhagen is looking for one or two IT Student workers from September/October 2025 to December 2026.
We’re looking for candidates with experience or interest in machine learning and computer vision, and who has worked with industry on tasks related to ESG reporting. A strong programming background is expected, especially in Python, along with solid experience using deep learning frameworks like PyTorch or JAX. An interest in Earth Observation and Remote Sensing is a welcome bonus.
About us
At The Department of Computer Science and the section of Machine Learning the activities range from research into the theoretical foundations of machine learning to applications within a broad set of domains, including information retrieval, medical data analysis, remote sensing, sustainability, and modelling of biological data. We participate in the SCIENCE AI Centre at the University of Copenhagen. The Machine Learning Section is also a part of the AI Denmark project to which this position will be working on.
Tasks
The IT workers will work on a range of tasks, from developing dynamic ESG reporting tools using activity data to tackling broader machine learning challenges, particularly around building efficient and scalable models.
Your task will include:
- Working with industry in solving tasks related to ESG reporting
- Working with Industry to see how Ai can help them improve their business
- You to have a be a student in the area of computer science
- To have skills in Python
- The desire to work with industry and understand their challenges.
We offer an opportunity to using your skills to work on real industry projects and being a part of the Ai Denmark community. You will be seated at the Machine Learning section with a lot of really talented researchers. As part of the Ai Denmark project you get to influence what kind of projects you want to work on, but sometimes projects pivot and you also get a chance to be a part of a team, that will handle that.
Terms of salary and employment
The employment is made in accordance with the Collective Agreement between the Danish Ministry of Taxation, The Confederation of Teachers Unions and CO10 – The Danish confederation of public employees of 2010 (LC/CO10 Collective Agreement) and by the Professional Agreement for IT Staff (PROSA) in government service.
Employment will be as IT Officer. The salary is based on seniority. Negotiation for salary supplement is possible. The working hours are 10-15 hours per week, to be agreed with the selected candidate. The working hours are flexible.
Your application
If you find the job interesting, please send an electronic application with attachment via Jobportalen (click on the link "Apply Now" at the bottom of the post) no later than August 11th.
Interviews will take place between August 12 and 15.
The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.
Further questions
Any questions about the position may be directed to Ankit Kariryaa, Tenure Track Assistant Professor, Machine Learning Section, Department of Computer Science. Email: ak.di.ku.dk
The University of Copenhagen (UCPH) is in the process of implementing a new joint administrative organization and new workflows, which will bring changes in the coming years. You can read more here.
Arbejdstid: Dag
Ansøg her
Tilbage til søgning
