The NERDS team (The NEtwoRks, Data, and Society) at the IT University of Copenhagen welcomes applications for postdoc positions in the area of Data Science, with focus on Computational Social Science, Natural Language Processing, and Network Science.
The project “Collective Coordination through Online Social Media” (COCOONS) is funded by the Carlsberg Foundation. Its goal is to unveil elements of social interactions that enable spontaneous citizen coordination in the face of societal challenges that entail social dilemmas, such as: rapid climate change, health crises, and mass migration. To reach this goal, the project will develop opinion dynamic models and advanced machine learning tools of conversation analysis, and use them to study large-scale online social interactions data in the light of theories from Social Psychology. More at: https://bit.ly/3NxzdYY.
PI. Luca Maria Aiello, Associate Professor in Computer Science at ITU. http://www.lajello.com.
The NERDS team conducts quantitative research at the intersection of Computational Social Science, Data Science, and Network Science. The group has collaborations with other research groups at ITU, (NLP, Machine Learning, Digital Design), with scholars from other major universities in Copenhagen (KU, DTU), and internationally with universities and research centers in Europe and in the US. The group is a down-to-earth and fun place to work. ITU offers a rewarding and stimulating international environment. Both salary and working conditions are excellent. In Denmark, parental leave is generous, and child-care is exceptional. Find more at: https://nerds.itu.dk.
The Post-doctoral Research Fellows’ mail tasks wil be to:
- Contribute to the advancement of groundbreaking research with crucial societal implications, in a highly-dynamic and interdisciplinary environment
- Publish scientific papers at high-impact journals and top-tier conferences
- Collaborate with teams at City, University of London (UK), and the ISI Foundation of Torino (IT)
Postdoc qualifications (up to 24 months position)
- PhD in Computer Science, Data Science, Physics, Applied Mathematics, or related fields
- Excellent programming skills (focus on Python) and experience in handling large-scale datasets
- Proficiency with state-of-the art machine learning tools and techniques
- Strong publication record in journals or conferences in least one of these areas: NLP (e.g., ACL, EMNLP, ICML), Web Mining (e.g., WSDM, KDD, WWW), Computational Social Science (e.g., ICWSM, WebScience)
The application must be in English and must include:
- A cover letter explaining your motivation, interest for the position, and how your profile fits (1 page)
- A resume (3 pages max)
- Documentation of academic degrees (e.g., copy of PhD degree)
- An explicit indication of the main area of interest/expertise among: NLP, Network Science, Computational Social Science
- A list of publications, with max. 5 highlighted publications relevant to the call
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full- time academics. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialisation of IT.
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).
You can only apply for this position through our e-recruitment system. Apply by pushing the button “Apply for position” in the job announcement on our website.
Questions about the position can be directed to Associate Professor Luca Aiello, email@example.com.
The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology, and Innovation of 13 March 2012.
The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chairman of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.
Please note that all application material will be destroyed after the assessment.
Application deadline: Friday, 20 May 2022 at 23:59 CET / EST – Earliest starting date: 1 October 2022 (flexible).
Applications/enclosures received at ITU after the application deadline will not be taken into consideration. If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.
The IT University invites all qualified researchers regardless of age, gender, religious affiliation, or ethnic background to apply for the positions.
Post expires on fredag maj 20th, 2022