Postdoc in Modeling and Visualizing Events in Connected Human Lives

Monday 20 Jun 22

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DTU Compute’s Sections for Cognitive Systems, would like to invite applications for a 2 year Postdoc position starting September 1st, 2022. The PostDoc will be supervised by Professor Sune Lehmann at the Section for Cognitive Systems, DTU Compute, but also associated with SODAS at the University of Copenhagen. 

Project Description
You will be part of a larger project (Nation Scale Social Networks) which investigates representations of social behavior and how predictive such representations are for life outcomes (education levels, income and wealth ranks, unemployment histories) based on registry data at Statistics Denmark. We are currently working on developing dense embeddings of life-event space, based on trajectories of life-events, using ideas from text embeddings. That work leverages a recent literature on predicting disease outcomes based on patient records and explainability and interpretability are important considerations in our modeling. 

This project will work on developing those ideas identifying strategies for using network data to connect the individuals in the data. The networks are based on data already contained in Statistics Denmark (family relations, joint workplaces, etc). In this sense, the work will focus on we address the foundational question on the role of social networks for life outcomes. We will use data visualization methods to interpret our findings. The aim is to address the role of the network in stages. Firstly, we will explore how well can we predict life outcomes from features based on registry data and network, explicitly comparing the relative magnitude of the contributions from network and structural features. Secondly, we will explore combining nodal and network features in a deep learning framework.   

Responsibilities and Tasks
As our new postdoc your main tasks will be to:

  • Analyze and model structures in large scale data. We will focus on network data, but apply the widest possible scope when identifying problems
  • Collaborate with researchers from both computational and social sciences in an interdisciplinary environment.
  • Co-author scientific papers aimed at high-impact journals
  • Participate in international conferences.

Qualifications

  • You should have a PhD degree or equivalent.
  • You must have a background within physics, applied mathematics, machine learning or related fields. 
  • A track record of publishing interesting work within some of those field.
  • Experience programming in Python.
  • Experience modeling dynamical systems is an advantage.
  • Experience with machine learning (incl) deep learning for prediction problems is an advantage.
  • Experience with data visualization is an advantage.
  • Broader experience with programming is an advantage.
  • Experience in time-series analysis is an advantage. 
  • Experience with modeling complex networks is an advantage.
  • An active interest in strong collaborations and interdisciplinary work is a plus.
  • An active interest in communicating science is a plus

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. SODAS is located in the heart of Copenhagen. 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. In Denmark, parental leave is generous, and child-care is excellent and cheap. 

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. We expect a starting date of 1 September 2022 (or according to mutual agreement).

You can read more about career paths at DTU here.  

Further information
Further information may be obtained from Professor Sune Lehmann, DTU Compute, (sljo@dtu.dk). 

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

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 4 July 2022 (Danish 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
  • Academic Diplomas (MSc/PhD)
  • 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.

The Cognitive Systems Section
Advanced data analysis is increasingly a determinant for productivity and personal quality of life. The Section for Cognitive Systems researches information processing in man and computer, with a particular focus on the signals they exchange – audio, imagery, behavior – and the opportunities these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive psychology.   

Center for Social Data Science (SODAS) at University of Copenhagen
New types of data, in particular digital data, is flooding the social sciences. The broad catchphrase for the analysis of such data is ‘data science’. The Faculty of Social Sciences has made new, digital forms of data – sometimes collectively known as big data – and the integration of such data with social scientific modes of enquiry a priority at the Faculty. We call this integration Social Data Science, with research carried out in an inter-departmental center comprising researcher from across the social sciences.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 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.