Oldenburg: Scientific staff member (m/f/d)

University: Scientific staff member (m/f/d) at the Department of Psychology

The Department of Psychology at the School of Medicine and Health Sciences of the Universität Oldenburg seeks to recruit a

scientific staff member m/f/d,

(wissenschaftliche*r Mitarbeiter*in m/w/d)

(100%, TV-L E13)

The position is to be filled by 01.02.2022 and is limited to 3 years. The position is also suitable for part-time employment (at least 50 %).

The position is funded by the Priority Program of the German Research Foundation META-REP: A Meta-scientific Programme to Analyse and Optimise Replicability in the Behavioural, Social, and Cognitive Sciences (SPP 2317; see: https://www.dfg.de/foerderung/info_wissenschaft/2020/info_wissenschaft_20_38/index.html). The specific project advertised here aims to contribute to improving replicability in the field of network neuroscience approaches to human cognition. The project will be carried out in collaboration of the Biological Psychology (Prof. Thiel and Dr. Gießing), Neuropsychology (Prof. Debener), and Psychological Methods and Statistics (Prof. Hildebrandt) divisions of the department, aiming to accumulate systematized knowledge on data analytic choices and deliver statistical solutions for handling the multiverse of graph analyses options on resting state fMRI data to assess brain-cognition associations.

Applications are invited for a 3-year project. Eligible candidates must

  • have an academic university degree (Master or equivalent) and a
  • PhD or at least a submitted PhD thesis by the 1st of February 2022 in psychology, neuroscience, computer science, statistics, physics, biomedical engineering or related disciplines;
  • be experienced with neural data handling (primarily (f)MRI, EEG, or fNIRS) and their advanced analysis (preferably in the area of functional or structural connectivity);
  • have multivariate statistical analysis and extensive programming skills; and
  • very good English literacy.

The ideal candidate is experienced with graph theoretical analyses of functional or structural connectivity. The ideal candidate should be able to disclose prior engagement in open science practices and will express strong motivation toward advancing methodological approaches to improve replicability in science. Competence and keen interest toward teamwork is a plus as well.

The University of Oldenburg offers a cutting-edge infrastructure for research in cognitive neuroscience and provides an international, friendly environment for researchers and students. The candidate will have the opportunity to attend career training programs of the Graduate Academy and potentially to acquire a Habilitation.

The University of Oldenburg is dedicated to increasing the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance with § 21(3) NHG, equally qualified female candidates will be considered preferentially. Applicants with disabilities will be given preference in case of equal qualification.

Applications should be sent preferentially via E-Mail to  andrea.hildebrandt(at)uni-oldenburg.de  and  carsten.giessing(at)uni-oldenburg.de, Universität Oldenburg, Fakultät VI, Ammerländer Heerstr. 114-118, 26129 Oldenburg, by the 22nd of October 2021.

For foreign university degrees, a certificate assessment from the Central Office for Foreign Education may have to be submitted.

Unfortunately, it is not possible for us to check the equivalence of foreign qualifications, so we ask you to do this in advance.

You can find more information on this at  www.kmk.org/zeugnisbewertungen

Please contact Andrea Hildebrandt or Carsten Gießing for questions related to this announcement.

Die Ausschreibung ist auch im Internet unter https://uol.de/stellen?stelle=68327 abrufbar.

Weitere Hinweise

Sie sehen ein Angebot der Carl von Ossietzky Universität Oldenburg. Das ZPID ist nicht verantwortlich für Inhalt, Aktualität und Gültigkeit des Angebots. Weitere Informationen können Sie beim Stellenanbieter erfragen.