Postdoc in Modeling Large-scale Social Networks

Profilbillede
dato

BEMÆRK: Ansøgningsfristen er overskredet

Join us on an exciting journey into the world of social network modelling. Copenhagen Center for Social Data Science (SODAS), University of Copenhagen, is seeking a passionate and dedicated postdoc for a two-year project, focusing on "Modeling Human Behavior and Social Networks with Big Data". Collaborate with some of the world's leading researchers, and contribute to innovative, life-changing research.

The successful candidate will start October 15, 2023 or as soon as possible thereafter.


The project
As part of the larger "Nation-Scale Social Networks" project, we're examining how social relations and life trajectories influence later life outcomes based on Danish registry data. Through complex data modelling and innovative methodologies, you'll help us understand how the formation of social networks causally impact and predicts life outcomes such as education, income, and employment. The project runs from 2020 through 2025 and is located at SODAS. Read more about the project, here.


Who are we looking for?
We're looking for someone who:

  • Holds a PhD degree (or close to defending it) in social sciences (e.g., economics or sociology) or mathematics, or data science. Obtained their PhD degree in 2017 or later.
  • Has strong quantitative skills and ideally some experience in social network modelling or computational methods. This can come from either econometrics/causal inference approaches or predictive approaches, e.g. machine learning or computational social science.


What do we offer?
SODAS is an innovative hub of research, housing world-class researchers specializing in the cross-section of social science and computational/data science methods. We pride ourselves on fostering a welcoming, down-to-earth research environment, that is as rewarding as it is fun.

Situated in the heart of Copenhagen, often hailed as one of the world's best cities to live in, SODAS provides an enriching cultural backdrop. Known globally for its incredible food, craft beer, vibrant music scene, stellar architecture, and the quintessential "hygge", Copenhagen has something for everyone.

We offer an attractive salary package and excellent working conditions. Denmark is renowned for its generous parental leave and affordable, high-quality child-care.

Join us on this exciting journey to decipher the complexities of human social behavior and become part of a world-class research team. We look forward to reviewing your application!



Duties and Responsibilities
You'll work closely with co-Principal Investigator Andreas Bjerre-Nielsen, contributing to research designs as well as analyzing network and registry data. You're also expected to participate in the academic life of the center and will be part of Andreas’ research group.



Strategy of the Faculty of the Social Sciences
SODAS is part of the Faculty of the Social Sciences. The faculty is a successful academic community that strives to put knowledge into action by:

  • Engaging partners in the co-creation of knowledge, learning and social change.
  • Empowering our students to become reflective and responsible citizens who have the vision, the knowledge and the competences to change society for the better.
  • Energising global, European and Danish communities of knowledge by innovating research methodologies and by research findings with impact
For more on the Faculty strategy, see: https://samf.ku.dk/fakultetet/strategi/.



Terms of Employment

The recruitment process
Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/

An Equal Opportunity Workplace
The University of Copenhagen is committed in its pursuit of academic excellence to equality of opportunity and to creating an inclusive working environment and therefore encourages all qualified candidates to apply, regardless of personal background, gender, sexual orientation, age, disability, ethnicity etc. For more on the diverse working place environment at the University and the University’s participation in the HRS4R HR Excellence in Researrch, see https://employment.ku.dk/working-at-ucph/eu-charter-for-researchers/

International applicant?
The University of Copenhagen offers a broad variety of services for international researchers and accompanying families, including support before and during your relocation and career counselling to expat partners. Please find more information about these services as well as information on entering and working in Denmark here: https://ism.ku.dk/

Contact information
Information about the recruitment process is available from HR, e-mail: hrsc@hrsc.ku.dk., please refer to ID number: 211-1515/23-2I.

Additional information about the position can be obtained from Andreas Bjerre-Nielsen, e-mail: abn@sodas.ku.dk

How to apply
Submit a complete application at our online portal. Click on the “Apply now” icon at the bottom of the page to apply. The documents must be in Adobe PDF or Word.

Your application must be written in English and include the following documents:

  • Motivated application
  • Short research proposal using registry data (max 1,500 characters)
  • Curriculum vitae
  • Diploma (PhD, master, and bachelor)
  • Other relevant material including 3 selected previous publications/working papers.
The closing date for applications is 23:59 CEST 7 August 2023

Applications or enclosures received thereafter will not be considered.

















INFORMATIONER OM STILLINGEN:

- Arbejdspladsen ligger i:

Gentofte Kommune

-Virksomheden tilbyder:

-Arbejdsgiver:

KU-CENTER FOR SUNDHED OG SAMFUND, Øster Farimagsgade 5, 1353 København K

-Ansøgning:

Ansøgningsfrist: 07-08-2023; - ansøgningsfristen er overskredet

Ved skriftlig henvendelse: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=159646&DepartmentId=19187&MediaId=4632&SkipAdvertisement=true

Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5874154

Denne artikel er skrevet af Emilie Bjergegaard og data er automatisk hentet fra eksterne kilder, herunder JobNet.
Kilde: JobNet