Can you help scientists and students scale AI computation?
Data and computational resources are crucial to the success of the Pioneer Centre for AI. As coordinator you will work closely with centre scientists on AI projects and thereby have significant impact on the centre’s research. With the new national AI data centre Gefion being established by the Novo Nordisk Foundation, the possible impact is further amplified.
You can be our new colleague at the Pioneer Centre for AI if you are an ambitious coordinator with experience in machine learning operations (MLOps). You should find it rewarding to assist scientists in high performance computing (HPC) and data access for AI systems.
The position is located at DTU Compute, Kongens Lyngby. At DTU Compute you will be part of a vibrant and welcoming environment which is internationally rooted. The university is located in the greater Copenhagen area – acknowledged for its excellent standards of living, child care and welfare system.
The job
The primary areas of responsibility will be to:
- assist Pioneer Centre scientists with HPC for machine learning
- manage data for research projects
- create and maintain workflows
- share knowledge with national and international collaborators, e.g. HPC centers
Experience with machine learning frameworks on GPU clusters and cloud
You are a highly motivated and dedicated team player with a Master’s degree within e.g. physics, computer science or engineering. You have experience in GPU computing for machine learning and you have a keen interest in sharing your knowledge.
What we offer in return
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 society. We place emphasis on a high level of professionalism among our staff, so skills development is an integral part of our organization. We offer a great flexibility in the position. In the area of technical and natural sciences, DTU is one of the leading research and education institutions in Europe.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). You are employed as an Academic Officer or Senior Officer.
The position is a full-time position available for 2 years.
The primary place of work is DTU Compute, Kongens Lyngby, Denmark, with frequent interaction with the Pioneer Centre units located in Copenhagen, Aalborg and Aarhus. The compute manager will have access to office facilities at the Pioneer Centre HQ in Copenhagen.
Application and contact
Please submit your online application no later than 15 October 2024 (23:59 Danish time). You can apply for the position online at www.career.dtu.dk. Open the “Apply online” link, fill out the form and attach your motivated application, CV and exam certificates.
If you would like additional information about the position, please contact Prof. Lars Kai Hansen at
lk**@dt*.dk
or Tel. +45 5180 7314, or Head of IT Henning Christiansen, at
he***@dt*.dk
or Tel. +45 5153 7793.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Pioneer Centre for AI
Funded by a DKK 352,4 million (€47 million) grant from the foundations: Novo Nordisk, The Danish National Research Foundation, VILLUM, Lundbeck and Carlsberg, the Pioneer Centre for Artificial Intelligence aims to stand at the international forefront and develop platforms, methods, and practices for a human centric AI through groundbreaking fundamental AI research pursued within an interdisciplinary framework. The centre is organized into seven collaboratories structured around an AI research theme with 2-3 PIs as well as affiliated PhD students and postdocs. The centre is headed by Director, Professor Serge Belongie, Dept. Computer Science, University of Copenhagen, assisted by co-leads from University of Copenhagen, Technical University of Denmark, the IT University, Aalborg University, and Aarhus University.
DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.
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.
