Postdoc in Geometric Bayesian Deep Learning - DTU Compute

Postdoc position on the intersection of Bayesian deep learning and differential geometry. In this project we will develop a theoretical understanding of the failure modes of Bayesian deep learning and translate these insights into efficient and scalable approximate inference techniques.
Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it? At DTU Compute we are working towards building highly scalable Bayesian approximations that work for deep learning. The driving approach is to first figure out the root cause of why the usual tricks do not work, and then secondly fix the issues.

You will join a highly motivated and collaborative team under the supervision of Søren Hauberg. The research environment favors creative ‘slow thinking’ style research, and we emphasize having fun along the way. Our work is consistently published at the top venues of machine learning research.

Responsibilities and qualifications
You should have prior experience with machine learning from both a theoretical and practical perspective. Your research will include a subset of the following:

• Approximate Bayesian inference
• Differential geometry
• Numerical computations (ideally with experience in Jax)
• Large-scale computations

We tend to work in teams, so a collaborative spirit is required.

As a formal qualification, you must hold a PhD degree (or equivalent).

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 is two years, and the desired starting date is 1 February 2025.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Søren Hauberg [email protected]>, http://hauberg.org.

You can read more about DTU Compute at www.compute.dtu.dk.

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 20 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
• Academic Diplomas (MSc/PhD – in English)
• List of publications

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

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.

Adresse:

Richard Petersens Pl.
2800 Kgs. Lyngby