Lunds universitet, Med. fak., Institutionen för kliniska vetenskaper Malmö

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

We are inviting applications for a student research assistant within the research “Tracking the Effects of Amyloid and Tau Pathology on Brain Systems and Cognition in Early Alzheimer’s Disease”.

The research project will leverage an innovative approach – utilizing state-of-the-art neuroimaging techniques at 7T and in-lab as well as remote behavioural memory assessments – to examine how functional brain systems that are critically involved in episodic memory change in early stages of Alzheimer’s disease.

Work duties

The applicant will assist in scientific data acquisition. This includes assistance during ultrahigh-field MRI scanning, handling of research participants and patients as well as neuropsychological assessments. In addition, the applicant will assist in behavioural and imaging data pre-processing and quality assessments.

Qualifications

Education, experience and skills – REQUIREMENTS

Required education

  • - Enrollment in a study programme in the field of psychology, medicine, neuroscience or related fields

Required experiences and skills

  • - Experience in handling research participants and patients in research or a clinical context

Fluent Swedish language skills are needed to communicate with Swedish elderly participants

Education, experience and skills – MERITORIOUS

 Meritorious education

  • - Completed bachelor degree in psychology, medicine, neuroscience or related fields

Meritorious experiences and skills

  • - Experience in MRI scanning and basic MRI analyses using SPM, FSL or ANTS
  • - Solid knowledge in statistical analyses using R or SPSS

Basic programming skills in languages such as R, MATLAB or Python

Personal characteristics

Reliable, sensitive and empathic towards patient populations, conscientious, team-minded

Type of employment Temporary position
Contract type Part-time
Number of positions 1
Full-time equivalent 20
City Malmö
County Skåne län
Country Sweden
Reference number PA2019/532
Contact
  • David Berron, Assistant Researcher, email: david.berron@med.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
  • SEKO: Seko Civil, 046-222 93 66
Published 18.Feb.2019
Last application date 03.Mar.2019 11:59 PM CET

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