Assistant Professor, non-tenure track

Vienna University of Economics and Business; Wien; On-site; EUR 51,000 - 61,000; Full time

Benefits offered by this job

Flexible working hours

Training opportunities

Employee benefits

Job summary

Vienna University of Economics and Business invites applications for a full-time position in the Institute for Cognition & Behavior. The role involves designing and conducting laboratory and online experiments, coordinating studies, and contributing to teaching and supervision within the Decision Sciences area.

Applicants should hold a PhD in psychology, cognitive science, economics, business, or related fields, with a strong empirical record and proficiency in R/Python and English

Qualifications

• Completed (or close to finished) PhD in psychology, cognitive science, economics, business and management, or a closely related field.
• Strong empirical research record with publications or manuscripts.
• Experience with experimental design and quantitative analysis using script-based tools (R, Python).
• Excellent written and spoken English; ability to communicate research clearly.

Responsibilities

• Independently design and conduct laboratory and online experiments.
• Coordinate study implementation and supervise research assistants.
• Contribute to teaching and supervise students in related courses.
• Present at international conferences and publish results in journals.

Skills

Experimental design

Quantitative analysis

R/Python

English communication

Mentoring juniors

Education

PhD in psychology or related field

Tools

Eye-tracking systems

Mouse-tracking software

Online experiment platforms

Job description

You want to understand how things are connected and make a fundamental impact? We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the

Institute for Cognition & Behavior

Fulltime, 40 hours/week

Starting as soon as possible, and limited until December 31, 2027

The position is part of the Institute for Cognition and Behavior headed by Prof. Susann Fiedler. We investigate how attention, motivation and social contexts shape judgment and behavior. Current research includes belief formation and updating, motivated cognition and willful ignorance, cooperation and ethical decisions, and the effects of AI on human judgment, learning and scientific work. We combine laboratory and online experiments with process tracing. Applicants should connect with at least one of these areas; expertise across all topics is not required.

What to expect

• Independently design and conduct laboratory and online experiments, including work on ongoing projects, using the institute’s participant pool and experimental and eye-tracking facilities.
• Take responsibility for defined research projects, coordinate study implementation and research assistants, and contribute methodological expertise and constructive feedback to the team.
• Contribute to teaching and student supervision in business psychology and decision sciences, including the specialization “Decision Sciences”
• Attendance of international conferences
• Publication of research projects in international journals

What you have to offer

• Completed (or close to finished) PhD in psychology, cognitive science, economics, business and management, or a closely related field.
• A research profile relevant to at least one of the institute’s areas, demonstrated through empirical research and manuscripts or publications. We assess the quality of the work and your own contribution relative to career stage.
• Strong skills in experimental design and quantitative analysis. Ability to analyze data independently using R, Python or comparable script-based statistical software.
• Excellent English and the ability to communicate research clearly in writing, teaching and scientific discussion.
• Collaborative working practices, and the ability to support junior researchers through constructive methodological feedback.
• Experience with eye-tracking, mouse-tracking or related process-tracing methods; online experiment programming; computational models of decision processes; or LLMs. Strength in one or more of these areas is welcome; expertise in all of them is not expected.
• Fluency in English required
• You are prepared to use multimedia teaching and learning formats

What we offer you

• Flexible working hours
• Training opportunities
• A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
• Meaningful work in an open-minded, inclusive, and family-friendly environment
• A modern campus with spectacular architecture in the heart of Vienna
• Inspiring campus lifewith over 2,400 employees in research, teaching, and administration and approximately 21,500 students
• Excellent accessibility by public transportation

Curious? Visit our website and find out more at www.wu.ac.at/benefits.

The minimum monthly gross salary amounts to €5.014,30 (14 times per year). This salary may be adjusted based on equivalent prior work experience. In addition, we offer a wide range of attractive social benefits.

Apply by November 18, 2026.

Shortlisted applicants will be invited to interviews during the first two weeks of December.

Language-editing tools may be used when preparing the application; if generative AI contributed to the substantive content, briefly state how and what you checked; this statement does not count towards the word limit.

WU is committed to diversity and inclusion and actively encourages applications from people of all backgrounds. We particularly welcome applications from women. Not sure if your profile fully matches our requirements? Apply anyway! In case of equal qualification, female candidates will be given preference. Applicants with disabilities will be supported throughout each stage of the recruitment process. Candidates' qualifications will be assessed in the context of their academic age.