Postdoctoral fellow in computational neuroscience at Aarhus University and University College London

Overview

Applications are invited for a postdoctoral fellowship to support computational neuroscience and neuroimaging (fMRI and MEG) research at the Danish Neuroscience Centre (DNC), Department of Clinical Medicine, Aarhus University Denmark. The project, funded by a grant from Lundbeckfonden (https://www.lundbeckfonden.com/), will investigate the influence of arousal and visceral signalling on perceptual decision-making and metacognition using computational neuroimaging of healthy participants. The postdoc will be primarily based within the Embodied Computation Group (ECG) at the Centre of Functionally Integrative Neuroscience (CFIN), which is fully supported by the multidisciplinary and multiscale facilities of the the DNC. Further, as part of the work will be carried out in collaboration with Professor Ray Dolan at the Max Planck UCL Centre for Computational Psychiatry and Ageing (https://www.mps-ucl-centre.mpg.de/en), the fellowship will also include an honorary contract and affiliation at UCL. The position is advertised for an initial duration of 1 year, with possibility of extension. Eligible candidates are expected to start on June 1st, 2019 or as soon as possible thereafter.  Additional information regarding this position can be obtained by contacting Dr. Micah Allen, head of the ECG at Aarhus University and Cambridge Psychiatry.

The Project

The project will involve large-scale neuroimaging of healthy participants as they complete psychophysical tasks measuring metacognitive and perceptual learning. The postholder’s research duties will therefor require 1) development and piloting of psychophysical measures of metacognition and interoception, 2) development and maintenance of open access code and data libraries via github, 3) execution and oversight of large-scale data collection including participant recruitment, screening, and testing, and 3) computational modelling of behavioral and neuroimaging data. The candidate will be supported in these activities by other ECG postdocs, PhD students, and full-time research assistants. As the position is focused on task development and computational modelling in an open science environment, demonstrated expertise (ideally documented in a Github library or similar) with R, Matlab, and/or Python are strictly required. Expertise with psychophysical methods and code libraries (e.g., PsychoPy, Psychtoolbox, or similar) is strongly desired. Prior experience with interoception, neuroimaging, and/or psychophysiology desired but by no means required.

Research Environment

CFIN is an international, multidisciplinary research centre based within the Danish Neuroscience Centre at the Institute for Clinical Medicine, Aarhus University, Denmark. Investigators at CFIN are supported by state-of-the-art research-dedicated cognitive neuroscience facilities including 306-channel TRIUX MEG system (Elekta Neuromag), fMRI systems (Siemens PRISMA 3T, magnetom Skyra 3T), PET, navigated TMS, EEG, eye-tracking, electrogastrography, and other physiological recording equipment, together with dedicated parallel processing computing facilities.

Required Qualifications
Appointment as a postdoc requires academic qualifications at the PhD level, in a relevant subject area such as cognitive neuroscience, computer science, biomedicine, or psychology. Additionally, the following skills and prior experiences are strongly desired:

  1. Expertise developing perceptual decision-making and psychophysical tasks.
  2. Demonstrated experience with open-source code repositories, preferably github.
  3. Computational modelling of decision-making, such as reinforcement-learning or hierarchical Bayesian approaches.
  4. A strong track record of scientific publication in international journals.

The candidate will also coordinate other collaborative projects within the ECG and at CFIN more generally, and as such should have excellent interpersonal skills and an interest in facilitating a collaborative research environment through supervision of students and RAs.

Deadline

All applications must be made online and received by:

May 1st, 2019.

Terms of employment

Application

Your application must include the following:

  • Motivated application
  • Curriculum Vitae
  • Diploma
  • A list of publications
  • A teaching portfolio. We refer to Guideline on the use of teaching portfolios
  • A maximum of five of the publications of greatest relevance to the job may be submitted
  • References/recommendations can be uploaded separately in the e-recruitment system
  • Template for applicant – postdoc must be completed and uploaded under ‘Extra documents’

We refer to the faculty’s Guidelines for applicants.

The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

Applications submitted through channels other than the online application form or applications which are not received by the application deadline will not be considered.

All interested candidates are encouraged to apply, regardless of their personal background.

International applicant?

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information about entering and working in Denmark here. Aarhus University also has a Junior Researcher Development Programme. You can read more about it here.

Questions about the position?

Micah Galen Allen Associate professor, AIAS-COFUND Fellow, Aarhus Institute of Advanced Studies, micah@aias.au.dk

Questions about application and proces?

HE Administrative Centre – HEALTH HR
+4587152567, emply.he.hr@au.dk

Apply

Deadline: Wednesday 1 May 2019 at 23:59 CEST

Post expires on Wednesday May 1st, 2019