Zurich Center of Neuroeconomics, Department of Economics
Laboratory for Social and Neural Systems Research (SNS Lab)

Postdoc in neuroscience of reward learning 90 %

Start of employment between September 1 and December 1, 2024 (by mutual agreement), available for a duration of several years (yearly rolling renewal)

The Laboratory for Social and Neural Systems Research is a research center at the University of Zurich that investigates the principles underlying social and neuronal systems (https://www.zne.uzh.ch/en/facilities.html). The lab brings together scientists from the social and natural sciences (incl. neuroscience, economics, psychology, computer science, and physics) to study mechanistic links between neuronal circuits, human behavior and social interactions, using a combination of brain imaging methods, neuro-modulation techniques, behavioral experiments and computational approaches. A single custom-built unit hosts multiple state-of-the-art facilities that are fully dedicated to research. These facilities include a Siemens Healthineers Magnetom Cima.X scanner as well as laboratories for transcranial magnetic and electric stimulation, psychophysics, behavioral group studies, peripheral and autonomic neurophysiology and pharmacology. Additionally, we have access to a 7T high-field human MRI facility.

Your responsibilities

The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on the neuro-computational basis of human learning and decision making using cutting-edge multimodal neuroimaging techniques. For example, the successful candidate will work on a project aimed to determine if reward learning and corresponding striatal responses incorporate causal knowledge during Pavlovian conditioning. Using theoretically grounded and empirically verified reward learning predictions – blocking, conditioned inhibition, and overexpectation – we will test how Pavlovian conditioning operates over stimuli that are known to be either causal generators or correlated predicters of reward outcomes. Knowledge of the causal mechanisms should, in principle, determine how a reward learning agent summates predictions over two or more conditioned stimuli and whether a specific conditioned inhibitor will block a given causal state. We will test these hypotheses using modified versions of the standard conditioned inhibition and overexpectation paradigms together with functional neuroimaging. The results of these studies will provide important new insights into the fundamental nature of reward learning. They will reveal if Pavlovian conditioning mechanisms, which are generally thought to be model-free, incorporate model-based knowledge of cause-and-effect relationships in the environment or if instead they remain agnostic about causality and operate via predictiveness alone.

Your profile

Candidates should hold (or expect) a good PhD degree in a relevant discipline (e.g., neuroscience, psychology) and have published work using human neuroimaging methods (esp. fMRI). Candidates should have expertise with computational modelling of behavior and/or neural data and a high level of proficiency in using Python, R, or similar statistical computing languages. Enthusiasm for scientific work and good scientific practice is essential. Candidates should speak and write English proficiently. Applications are welcome from overseas candidates as well as Swiss and EU nationals.

What we offer

Work-Life Balance
  • Flexible working models (such as part-time positions, mobile working, job-sharing)
  • Childcare at the kihz foundation of UZH and ETH

Learning and Development
  • Wide range of continuing education courses of UZH and the Canton of Zurich
  • Language Center run jointly with ETH Zurich

  • Food and drinks at reduced prices in the UZH cafeterias
  • Lunch-Check-card with UZH contribution

  • Special conditions on the Academic Sports Association ASVZ
  • Free seasonal flu vaccinations
  • Rest and relaxation at the quiet room in the university tower

  • Private traffic: Carsharing, rent a vehicle, parking space
  • Digitalization: Hardware, software, mobile phone subscriptions
  • Special conditions on hotel reservations

Conditions of Employment
  • Policies of the UZH
  • Most UZH staff are employed according to public law

International Services
  • Support for people from outside Switzerland

  • Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
  • Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg



Information on your application

Applications should include a CV (incl. full publication list), one representative paper reporting human neuroimaging research, copies of all relevant degrees, a statement of interest, and the names and email addresses of two referees.

Applications will be accepted until the position is filled.

Further information

Questions about the job

Prof. Dr. Todd Hare
Contact Form

Contact question to: Prof. Dr. Todd Hare

Thank you for your message. We will get back to you shortly.

Working at UZH

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! More