Postdoc in Machine Learning - DTU Compute

Postdoc position in machine learning for graphs at the Department of Applied Mathematics and Computer Science, DTU Compute. You will investigate machine learning methods for massive, complex, dynamic, and heterogeneous graphs. The position is partly funded by the Danish Defence.
The Department of Applied Mathematics and Computer Science, DTU Compute, is hiring a full-time Postdoc to research and develop machine learning methods for massive, complex, dynamic, and heterogeneous graphs.

You will be part of the Section for Cognitive Systems, a dynamic and research-oriented group of scientists, technical personnel, and administrative staff. We have a broad interest in machine learning and information processing in humans and computers and a particular focus on the signals they exchange.

You will collaborate with several members from the section, including Bjørn Sand Jensen, Morten Mørup, Mikkel Nørgaard Schmidt, Finn Årup Nielsen, and external Danish partners.

The position is partly funded by the Danish Defence.

Responsibilities and qualifications
Your overall focus will be to strengthen the section’s machine learning research activities and contribute to commissioned research projects within the field. You will work with nearby colleagues in the section and with external partners in Denmark.

Your primary tasks and duties will be to:

• Plan and conduct machine learning research primarily focusing on graphs, including data collection/management, algorithm/model development, implementation, benchmarking, and dissemination.
• Manage and conduct commissioned research projects within machine learning.
• Assist with teaching, including supervision of BSc and MSc student projects.

To qualify for the position, you must have:

• Comprehensive and up-to-date knowledge of current issues and future directions within the broader area of data science, machine learning and AI.
• Proven expert knowledge and experience in (geometric) deep learning, statistical machine learning, or Bayesian modeling/machine learning. Previous research experience with machine learning for graphs is a strong plus.
• Excellent software engineering/programming skills (ideally in Python/PyTorch) and experience with modern MLOps.
• A track record of publication and presentation of research results in quality journals/conferences.
• Interest in and ability to work with external stakeholders and gain their trust in joint/commissioned research activities.

As a formal qualification, you must hold a PhD degree (or equivalent) in machine learning, signal processing, data science or a related field.

We offer
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 Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment between 1.5 years, subject to negotiation. The starting date is 1 January 2025 or soon after that (according to mutual agreement). The position is full-time.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Bjørn Sand Jensen ([email protected]).

You can read more about the Section for Cognitive System here.

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 11 November 2024 (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
• List of publications
• Academic Diplomas (BSc/MSc and PhD diplomas – in English)

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

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.

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