Institution (Location)
University of Ostrava, Faculty of Education
Position Description

We are seeking a postdoc researcher with interest and expertise in one of the following fields:

  1. mHealth/eHealth – focus on digital interventions to enhance wellbeing and support healthy/active lifestyle; or:
  2. health or exercise psychology – focus on psychosocial determinants and consequences of physical activity or sedentary behaviour; or:
  3. data analytic methods – focus on analytic approaches to intensive longitudinal data, ecological momentary assessment (EMA), or just-in-time adaptive interventions (JITAIs)

Learn more

Candidate’s Qualifications (who should apply)


Research Field
Education Level
PhD or equivalent
Research Field
Psychological sciences
Education Level
PhD or equivalent
Research Field
Medical sciences
Education Level
PhD or equivalent
Research Field
Education Level
PhD or equivalent


  • PhD in Psychology, Kinesiology, Statistics or another social science or related field with relevance to the study of the effects of digital technologies on wellbeing obtained within the past 7 years (this period does not include maternity/parental leave);
  • Interest in eHealth/mHealth or the effects of digital technologies on older adults or other underserved populations, experience with research on the same or a related topic (i.e., with evidence from participation on research projects, publications);
  • Experience with quantitative research methods and a strong knowledge of quantitative methodology (high skills in statistical analyses and work with quantitative data, mainly intensive longitudinal data) is an advantage;
  • Willingness to learn;
  • Ability to work autonomously on the research topic;
  • Ability to work in a team, problem-solving skills, time-management skills, thoroughness, perseverance;
  • Proficiency in English.
Research Field
MathematicsPsychological sciencesMedical sciencesOther
How to Apply
Selection process

Necessary documents:

  • a professional CV detailing previous work on research projects and a detailed description of statistical skills
  • list of publications; list publications in impact factor journals (Web of Science), list IF and/or journal quartiles; attach one or two publications that demonstrate your statistical skills;
  • a letter of motivation in which, among other things, you state the field you are applying for
  • copies of documents on education
  • consent to the processing of personal data for the purposes of the selection procedure (for download here)

Time, manner, and place for delivery of the required documents: Send a structured professional CV, a list of publications, a letter of motivation, a copy of the education documents and a signed Consent to the processing of personal data for the purposes of the selection procedure no later than by 29.2. 2024 to [email protected].


Eligible candidates will be invited for a personal or online interview.

The dean of the faculty reserves the right to invite only selected applicants to a personal meeting or online interview and at the same time the right not to select any applicant.

The dean of PdF OU can also cancel or repeat the selection procedure.


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