BEMÆRK: Ansøgningsfristen er overskredet
Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University invites applications for a position as Research Assistant in Clinical Neuroimaging as per 1 September 2023 or as soon as possible thereafter. The position is a part-time position (10 hours per week) and will end on 31 August 2024.
Research Environment
CFIN is an international and strongly multidisciplinary research centre at Aarhus University Hospital located at the department for clinical medicine. CFIN has a state-of-the-art neuroscience facility including a 306 channel TRIUX MEG system (Elekta Neuromag), MRI systems (Siemens TimTrio 3T, magnetom Skyra 3T), PET, TMS, EEG, eye-tracking, olfactometer, and more.
Your job responsibilities
As research assistant, your primary tasks are preprocessing and analysing MRI data from across several databanks. Additionally, you will be responsible for the maintenance of the data infrastructure within our lab. You contribute to the development of the department through research of high international quality. In your daily work, you have a close interaction with competent colleagues. The goal of the project is to find relevant structural features of the brain to track the progress of Alzheimer’s in patients and relate them to behavioural and genetic characteristics. To this end, you will be analysing data from several repositories, like the UK Biobank. Your task will be to develop a generalizable pipeline to process and compare data from different sites. You will be working most closely with the core systems of the lab, and as such, you are expected to be able to maintain and improve them when not working directly on the project.
Your main tasks will consist of:
- Preprocessing and analysing structural MRI scans from international repositories.
- Finding reliable methods to help improve the study of longitudinal Alzheimer’s development.
- Correlating MRI data to behavioural and genetic characteristics.
- Maintaining and improving our data infrastructure.
- Attending and contributing to lab meetings.
You will report to Diego Vidaurre.
Your competences
You have a background within computational neuroscience and experience with structural analysis methods. You are required to hold a master’s degree in Neuroscience or related field, and have thorough experience analysing structural MRI data using different methods. Additionally, you must have experience performing administrator tasks on Linux systems.
As a person, you have good interpersonal skills, are inclusive and team-oriented and able to contribute to a good work environment.
We expect you to be fluent in oral and written English.
In order to be assessed as qualified for the position, you must meet these academic criteria.
Shortlisting will be used.
Questions about the position
If you have any questions about the position, please contact Professor Diego Vidaurre: D.vidaurre@cfin.au.dk.
Your place of work will be at CFIN, Universitetsbyen 3, building 1710, DK-8000 Aarhus C, Denmark.
Terms of employment
- Appointment as a research assistant requires academic qualifications at master's degree level.
- Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities.
- The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne).
- Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health.
- Further information on qualification requirements and job description can be found in the Ministerial Order on Job Structure for Academic Staff at Universities.
Application
Your application must include the following:
- Motivated application
- Curriculum Vitae
- Diploma
- Template for applicant - other academic positions
- A list of publications can be uploaded if relevant for the position
- A teaching portfolio can be uploaded if relevant for the position. We refer to Guideline on the use of teaching portfolios
- References/recommendations can be uploaded separately in the recruitment system
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.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Aarhus Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Aarhus Universitet, Universitetsbyen 3, 8000 Aarhus C
-Ansøgning:
Ansøgningsfrist: 27-06-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: https://AU.emply.net/recruitment/vacancyApply.aspx?publishingId=c54d16dc-646e-444f-8840-c1dd3594998c
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5852367