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Postdoc in Operational Representation Learning

Danmarks Tekniske Universitet (DTU)

Virksom - a-kasse og faglig organisation for selvstændige


Frist 1. oktober 2020

DTU Compute invites applicants for a two-year Postdoc position in operational representation learning. The position should be filled as fast as possible, but needs of the candidate will be taken into account in this regard.

The Section for Cognitive Systems is an internationally renowned group for machine learning research. The group aims for the highest quality research. You are encouraged to collaborate both within the group and with other international groups. We emphasize a healthy work/life balance based on the premise that you do the best work when you are happy.

The project revolve around the goal of learning operational representations, i.e. representations that are naturally equipped with a set of well-defined operations that may be performed. For example, we may seek a representation that supports operators akin to addition and subtraction, or we may seek a representation that naturally supports integration (in order to assign probabilities to events). In practice, the project will focus on learning such representations from biological data using generative models. For more details, see www2.compute.dtu.dk/~sohau/operational_representations/.

Responsibilities and tasks

Most learned representations are treated as being Euclidean even if it is trivial to construct counter-examples showing that the Euclidean assumption lead to arbitrariness. You will join a team of people dedicated to avoiding this arbitrariness. You will work with nonlinear generative models and use geometric techniques to develop well-defined operations that can be meaningfully applied in the representation space of the model. The end-goal is to both improve the modelling capacity of generative models, but also to improve their general interpretability.

You should enjoy the art of building useful mathematical models, with the goal of building elegant mathematical models that remains computationally tractable. You should be able to demonstrate prior experience with probabilistic modeling. Candidates with experience with generative models will be preferred, but this is not a strict requirement. Likewise, candidates with prior experience working with biological data (e.g. protein sequences) will be preferred.

Depending on interest and qualifications of the applicant, the project can either be theoretical, applied, or a combination thereof. We generally believe that theory and applications must go hand in hand to ensure that the theory is meaningful and beneficial to scientific discovery.

More details are available at www2.compute.dtu.dk/~sohau/positions/

.

Qualifications
Candidates should have a PhD degree (or have handed in the PhD thesis) 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 2 years.

You can read more about career paths at DTU here.

Further information

Further information may be obtained from Professor Søren Hauberg, sohau@dtu.dk.

You can read more about the section for Cognitive Systems at www.compute.dtu.dk/english/research/Research-sections/Cogsys. More information about the team working with Søren Hauberg is available at www2.compute.dtu.dk/~sohau/.

Application procedure

Please submit your online application no later than 1 October 2020 (local time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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
  • Diploma
  • (MSc/PhD)

  • List of publications

Applications and enclosures 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.

DTU Compute

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. At the same time DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, DTU Compute plays a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. DTU Compute plays a central role in education at all levels of the engineering programs at DTU - both in terms of our scientific disciplines and our didactic innovation.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

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Danmarks Tekniske Universitet (DTU)
Danmarks Tekniske Universitet (DTU)
DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 11.200 studerende uddanner sig her til fremtiden, og 6.000 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

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