Basic responsibilities and obligations:

1. Implementation of the research project in collaboration with the PI and team members.
2. Co-designing and programming innovative experiments using web-based data;
3. Working on or assisting in training / development / use of automated classifications (NLP, Large Language Models);
4. Analyzing and visualizing data, applying statistical models to test hypotheses on large data sets;
5. Drafting and editing articles for publication in high-impact journals and for international conferences;
6. Writing journalistic texts popularising the results of the research carried out;
7. Preparing presentations of the results of the analyses carried out, including the creation of visualisations of the research results;
8. Presenting research results at international conferences and academic meetings.

Fulfilment of the requirements set out in Article 113 of the Law on Higher Education and Science (Journal of Laws of 2024, item 1571, consolidated text)

• PhD or completed dissertation (with a scheduled defence effective before the date of employment) 

 Degree in social sciences (e.g. communication, political science, computational social science, economics) or computer sciences (e.g. computer science, information science, data science)

• Experience in quantitative research methods (e.g. analysis of survey, experimental, and online behavioural data using advanced models)

• Computational skills - experience of working in R, Python or other programming languages;

• Experience in designing, conducting and analysing complex research projects that combine self-report (experiments/surveys) with digital trace data (e.g. tracking data);

• Experience in addressing relevant social science questions using computational methods;

• Good spoken and written English;

• Experience in analysing survey or experimental data and visualising results

What we offer:

• a unique opportunity to work on a research project using cutting-edge data and methods (e.g. online tracking data and deep machine learning models) to address important societal issues. 

• the opportunity to present your work at top academic conferences, develop your professional network and submit your work to top academic journals.

• access to a wide range of training courses;

• access to infrastructure (office space, library, IT resources, sports facilities);

• work in an enthusiastic and international team with external colleagues in a research environment at one of the best universities in Central and Eastern Europe, with developed international collaborations;

• the opportunity to present your work at top academic conferences, expand your professional network and submit to top academic journals;

• the opportunity to obtain funding for your own research;

• international research trips for fieldwork and project meetings.

Required documents

• Proof of a PhD completion (or of a scheduled dissertation defense)
• CV,  
• Letter of intent (including approximate date of possible employment at UW),
• Sample of academic work in English (e.g. journal article, thesis, dissertation),
• a list of up to three names of persons who could serve as references (letters of reference are not required)
• Candidate’s questionnaire link

Please ensure that your application is complete and submitted by the deadline indicated!

The competition consists of the following stages: 

• Stage I - formal evaluation of documents,
• Stage II - substantive evaluation on the basis of submitted documents,
• Stage III - interview with selected candidates ,
• Stage IV - final evaluation of competence, experience and scientific achievements, 

Stage V - adjudication of the competition and announcement of results.

Anticipated date of communicating the outcome: 30 September 2025 r. 

Candidates will be notified of the results of the competition by e-mail. 

The Centre reserves the right to respond only to selected offers and to close the competition without selecting a candidate.

Questions about the competition should be addressed to cess@uw.edu.pl with the announcement reference number

Accessibility needs should be indicated on the Candidate’s Questionnaire, in: Other relevant information from a candidate

The competition is the first stage of the recruitment process, please read the Policy of Open, Transparent and Merit-Based Recruitment at the University of Warsaw link

The evaluation will be based on competence (previous achievements according to the career stage and compatibility with the scope of the project), research maturity (general level, research technique, compatibility with the general objectives of the project), mobility experience (change of scientific environment, change of discipline, change of sector, etc.), and soft competences.

We reserve the right to admit selected candidates to the interview.