Postdoc in Machine Learning for Continuous Time Modeling of Dynamic Complex Networks

fredag 06 nov 20

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Frist 3. januar 2021
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DTU Compute would like to invite applications for a 20-month PostDoc position with starting date 1 February 2021 (starting time negotiable). The position is financed by DFF project “Learning the Structure and Dynamics of Complex Networks” and the PostDoc will be supervised by Professor Morten Mørup and Professor Sune Lehmann at the Section for Cognitive Systems, DTU Compute.

The project aims to develop novel computational frameworks for the analysis of dynamic social networks in continuous time circumventing typical network time-discretization by accounting for time-resolved interaction events. In particular, we are interested in scalable computational procedures for continuous time statistical dynamic network modeling using latent embeddings as well as efficient predictive procedures forecasting network dynamics. The developed continuous time dynamic network analysis tools will be used to analyze imminent challenges within our digital society enabling us to describe the dynamics of knowledge production, predict information propagation, and spot filter bubbles. The project comprises an interdisciplinary team of researchers (in addition to the DTU team, collaborators include Yong-Yeol Ahn at Indiana University and Martin Rosvall at Umeå University).

Qualifications
Candidates should have a PhD degree in engineering science or natural science or equivalent academic qualifications. Furthermore,

  • You must have a relevant background within machine learning.
  • Experience in time-series analysis is an advantage.
  • Experience with modeling complex networks is an advantage.
  • Extensive experience programming in Python.
  • An active interest in strong collaborations and interdisciplinary work is a strong plus.
  • You must be fluent in English, both speaking and writing and possess excellent communication skills.

Assessment
The assessment of the applicants will be made by Professor Morten Mørup and Professor Sune Lehmann (DTU Compute).

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.

The position is in the Section for Cognitive Systems at the Technical University of Denmark, which is a top Danish machine learning group. Both salary and working conditions are excellent. The group is a down-to-earth and fun place to be. Most group members live in Copenhagen which is often named as the best city in the world to live, and for good reasons. It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap.

Salary and appointment terms
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 position is full-time and the period of employment is 20 month beginning 1st of February 2021 or according to mutual agreement.

You can read more about career paths at DTU here

Further information
Further information may be obtained from Professor Morten Mørup, tel.: +45 2729 2975, email: mmor@dtu.dk.  

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

Application
Please submit your online application no later than 3 January 2021 (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 (BSc, 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 conducts research and provides teaching in the fields of mathematics, modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique skills of the department are in high demand in IT innovation and production.

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.