The University of Oldenburg is seeking to fill the following position:

PhD position

Paygrade E13
Working Hours75%
InstitutionSchool VI of Medicine and Health Sciences, Department of Psychology
LocationOldenburg (Old)
Application Deadline07.01.2025
First day of work01.03.2025
Limitedfor 3 years

About us

School VI Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. 

The DFG-funded Research Training Group “Neuromodulation of Motor and Cognitive Function in Brain Health and Disease” (GRK 2783) aims to understand neural mechanisms of non-invasive neuromodulatory approaches and promote technology development to improve motor and cognitive functions in patients with stroke and Parkinson’s Disease. PhD students will receive a comprehensive and transdisciplinary training in the field of neuromodulation (magnetic/electric brain stimulation, psychopharmacology and neurofeedback) and specialize in state-of-the-art neuroimaging and neurophysiological methods, experience sampling, patient’s expectations or sensor-based assessment of brain activity and behaviour in daily life scenarios. Details about the projects are listed on our website: https://uol.de/en/neuromodulation

Your tasks

Project 18: Implicit assessment of dual tasking interference

Main PI and collaborators: Debener, Hein, Witt 

One of the key predictors of cognitive decline is gait slowing. This holds true in particular when gait speed is assessed during a cognitive task (walk & talk). This project will investigate whether gait slowing during talking can also serve as an outcome measure for the assessment of neuromodulation interventions. A focus will be the development and validation of implicit gait and speech assessments, preferably with unobtrusive sensors worn at the ear and mobile technology.

Your profile

Applicants should hold an academic university degree (master or equivalent) in neurocognitive psychology, psychology, cognitive science or a related discipline. Prior experience with the recording of behavioral and neurophysiological data (EEG) and solid programming skills with Matlab and statistical analysis skills with R are required, as well as hands-on experience in conducting experimental neurocognitive research. Basic knowledge of machine learning is an advantage. Proficiency in both German and English is essential.

We Offer

  • Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave
  • Option for 4-year funding to complete the PhD
  • Support and guidance during your induction phase
  • A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work
  • Benefits from the company's health promotion programme
  • An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/en/school6/early-career

Our standards

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

Contact:

For general questions contact rtgoffice@uol.de.

Apply now

Please send your application via e-mail by 07.01.2025 to

rtgoffice@uol.de

Please send your electronic application (as one single pdf file) including a cover letter, CV, publication list (if applicable), list of two potential referees, and copies of certificates of academic grades to the RTG Office.



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Secure remuneration according to collective agreement

Further training opportunities

Company pension scheme

Flexible working hours

Health management

Mobile working

Compatibility of career and family

30 days vacation

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