Position

Postdoc Position

No. of Position(s)

1

Research area

  • Physics
  • Applied mathematics
  • Machine learning
  • Computational social science
  • 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

Salary

According to standard norms

Workplace

DTU Compute
Section for Cognitive Systems
Technical University of Denmark

Contract period

 2 years 
Starting date: 1 January 2021 

Inquiries

Professor Sune Lehmann 
E-mail: [email protected]

Qualifications

  • You should have a PhD degree or equivalent
  • You must have a background within physics, applied mathematics, machine learning, computational social science, or related fields
  • A track record of publishing interesting work within some of those fields
  • Experience analyzing large-scale datasets in Python
  • Experience with machine learning (incl) deep learning for prediction problems

Preference

  • Broader experience with programming is an advantage
  • Experience in time-series analysis is an advantage
  • Experience with modeling complex networks or human mobility is an advantage
  • Experience in Spark is an advantage
  • An active interest in strong collaborations and interdisciplinary work is a plus
  • An active interest in communicating science is a plus

Responsibilities/Job Description

The successful applicant will

  • Analyze and model structures in large scale data, including mobility data collected from mobile phones, and social media data.
  • Collaborate with researchers from both computational and social sciences in a truly interdisciplinary environment.
  • Co-author scientific papers aimed at high-impact journals
  • Participate in international conferences.

How to Apply?

https://job.adm.dtu.dk/careersection/application.jss?reqNo=41173&lang=en&portal=8105100298&type=1

fill out the online application form, and attach all your materials in English in one PDF file.

Documents required

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.

About The Cognitive Systems Section at DTU

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. 
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.

About the 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 researchers from across the social sciences.

About the Project HOPE

The How Democracies Cope with Covid19: A Data-Driven Approach (HOPE) project constitutes an unprecedented research project which examines the interrelationship between the (a) trajectory of the COVID-19, (b) the decisions of governments and international organisations, (c) media and social media landscapes and (d) citizens’ behavior and well-being.
To this end, we utilize the fact that the COVID-19 pandemic is unfolding in the middle of the “big data” revolution. For the first time in human history, we are able to measure with extreme precision and time-resolution how governments and citizens react (and with what consequences) during an extremely severe crisis.  
This PostDoc Project supports the overall HOPE project by analyzing large-scale data on the COVID-19 crisis, focusing on telecommunication, social media data, and human mobility data. The researcher will integrate with other branches of the HOPE project to understand the connection between these large-scale behavioral data and questionnaire data or anthropological field studies.

Other Benefits

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. 

Notes

  • 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.

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