This advert is not available!
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 to assist our ongoing research.
Our research projects leverage an innovative approach – utilizing state-of-the-art neuroimagingat 3 and 7T as well as novel behavioral memory assessments – to examine howfunctional brain systems that are critically involved in episodic memory change in early stages of Alzheimer’s disease.
Work duties
The selected candidate will assist in data acquisition including assistance during ultrahigh-field MRI scanning, handling of research participants and patients as well as neuropsychological assessments. The position also involves programming experimental tasks, data organisation, pre-processing and quality assessment of behavioral and neuroimaging data.
Qualifications
Required education
- Enrollment in a study programme in the field of psychology, (cognitive) neuroscience, medicine or comparable course of studies
Required experiences and skills
- Strong interest in cognitive neuroscience studies, human memory, Alzheimer’s disease and methods (data organisation, data analysis and statistics)
- Flexibility, commitment and the ability to work in a team
- Enjoy working with research participants of different age groups and patients
- Experience in handling research participants and patients in research or a clinical context
- Very good knowledge of English
Experience in (f)MRI scanning
MERITORIOUS
Meritorious education
- Bachelor student in advanced semester or Master student in a study programme in the field of psychology, (cognitive) neuroscience, medicine or comparable course of studies
Meritorious experiences and skills
- Experience in (f)MRI analyses using SPM, FSL, Freesurfer or ANTS
- Experience with advanced data analysis methods and statistics
Programming experience in R/MATLAB
Contact person: Postdoctoral fellow, David Berron, david.berron@med.lu.se
Please include salary range in application.
Type of employment | Temporary position |
---|---|
Contract type | Part-time |
First day of employment | By agreement |
Number of positions | 1 |
Full-time equivalent | 20 |
City | Malmö |
County | Skåne län |
Country | Sweden |
Reference number | PA2019/3084 |
Union representative |
|
Published | 26.Sep.2019 |
Last application date | 10.Oct.2019 11:59 PM CEST |