Research Scholarship (Psychology)

The SWPS University is a non-public academic institution conducting scientific and educational activities in Warsaw, Wrocław, Sopot, Poznań, Katowice, and Kraków. We belong to the most active research centers in Poland, and the results of our research are applied in various areas of the economy and social life.

It's a community that combines diverse experiences and beliefs. We create an open, multicultural environment that allows all employees to achieve their goals and fully develop their potential.

Our commitment to the development of science and the pursuit of the highest quality research is the foundation on which we build our successes, as evidenced by the distinction of being awarded the A+ category as one of the best research centers in the country in the fields of psychology, politics, and administration.

SWPS University, as a non-public institution, exists to serve humanity, society, and the environment through education, science, art, and public activities. We fulfill this mission as a strong institution, based on a community of employees, students, and alumni.

Research Scholarship

Institute of Psychology

Place of work : Wroclaw

Ref. 1117 / IP / WWA / 25

Duties :

• design, programming and execution of laboratory and web-based experiments, mainly using eye-tracker and Python language, in collaboration with the project manager and others (e.g., interns)
• advanced data analysis, including eye movement trajectory analysis, dimensionality reduction, anomaly detection, machine learning methods, using Python and / or R scripts programmed for this purpose
• use of large language models via API
• writing scientific articles, preparing presentations and participating in national and international conferences

Requirements :

We offer :

Required documents :

Important dates :

Formal criteria :

Search Committee :

The Search Committee reserves the right to contact only selected candidates.

Research project name and description :

Using idiosyncrasies in eye movement patterns as signatures of top-down control in the evaluation of decision-making.

The goal of the project is to investigate how to use eye movement analysis (eye-tracking) to evaluate decision-making. We assume that idiosyncratic (i.e., unique and specific) eye movement patterns can be indicative of experience and cognitive control, so we will use machine learning methods to detect anomalies in these patterns. In a series of experiments, we will test this approach in a variety of contexts, such as facial recognition, crowdsourcing tasks and recruitment, to see if unusual gaze patterns can indicate the quality of decision-making.