Postdoc in Understanding Spreading Patterns in NationScale Networks - DTU Compute

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Postdoc in Understanding Spreading Patterns in NationScale Networks - DTU Compute
Kgs. Lyngby, Denmark
Job Description

DTU Compute’s Sections for Cognitive Systems, would like to invite applications for a 2-year Postdoc position starting May 1st , 2024. 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. 
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 research 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.
Project Description
The project is 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 particularly interested in how network data (from family relations, household members, school/work friends) impacts our ability to predict life outcomes. 
This sub-project draws on a unique dataset of COVID-19 infection trees to support the Nation-Scale project in a range of ways. We will use the infection data to better understand network ties, we will compare the spread disease in the real-world to ensembles of simulations, we will work to understand which fraction of infections are captured by the other networks in the project, we will build models to understand the role of distance in spreading processes, and other projects to be decided in collaboration with the successful candidate.   
Responsibilities and Tasks
The successful applicant will:

• Analyze and model structures in large scale data. 
• 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 must hold a PhD degree (or equivalent). 
• You must have a background within physics, applied mathematics, computer science or related fields. 
• A track record of publishing interesting work within some of those field.
• Experience with modeling complex networks or graphs is required.
• Work on modeling spreading processes is a plus
• An active interest in communicating science is a plus
• Experience with data visualization is an advantage.
• Experience with machine learning, incl. deep learning is a plus
• An active interest in interdisciplinary 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 May 2024. 
You can read more about career paths at DTU here .
Further information 
Further information may be obtained from Professor Sune Lehmann,([email protected] ).
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 4 April 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 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 – in English)
• List of publications 
• Any recommendations you wish to include

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.
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.

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Job Info

• Job Identification 3380
• Job Category VIP B
• Posting Date 03/21/2024, 04:31 AM
• Apply Before 04/04/2024, 05:59 PM
• Locations Matematiktorvet, Kgs. Lyngby, 2800, DK

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  Matematiktorvet, Kgs. Lyngby, 2800, DK

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