Senior lab manager for uMOVE Core facility - development of methods for mobility and brain activity - Hiring in process/Finished, not possible to apply

The environment
The position is situated within the uMOVE core facility, Karolinska Institutet, which is a knowledge centre that offers service in human movement sciences (visit the website here). uMOVE is a joint collaboration between the Department of Neurobiology, Care Sciences and Society (NVS), the Department of Women's and Children's Health (KBH) and the Department of Clinical Neuroscience (CNS) at Karolinska Institutet, and the Allied Health Professionals Function and the Children & Women's Health Theme at Karolinska University Hospital. uMOVE offers a wide range of state-of-the-art motion analysis systems - from lab measurements to free-living assessment of daily activities, including cognition functions and emotions on motor control, to researcher, education and clinical work.

We are now recruiting a senior lab manager who will work in collaboration with the uMOVE core facility to develop protocols for assessment of cortical brain activity using functional near-infrared spectroscopy (fNIRS) in different healthy populations across the life-span and clinical populations with mobility impairments. This work will initially focus on validity and reliability testing of fNIRS measurements in relation to the motor and cognitive performance during functional tasks (e.g. gait) and develop experimental protocols for the core facility in collaboration with its users. The employment is full-time (possibility of part-time can be discussed). The position starts with a contract for 1 year with the possibility of extension.
The applicant is expected to work at both KI campuses, but mainly in Solna.

Area of responsibilities/description of the work
The work will be performed in close collaboration with the scientific director and the facility manager of the uMOVE core facility. The lab manager will be responsible for development of the fNIRS methodology but also other equipment in the facility. The work will incorporate designing projects, project administration (e.g. ethical application, SOP), data collection, processing, data analysis and statistical analysis as well as giving service and support to other users. The uMOVE core facility is a major collaborative project and being able to collaborate and interact with different parties and lead and coordinate parts of the project are therefore important areas of this position. Teaching and supervision of students and staff may occur.

Entry requirements
The successful applicant will hold a PhD in physiotherapy, movement science, biomechanics, neuroscience, psychology or cognitive science and have in-depth analytic and statistical knowledge. Previous experience and knowledge of analysis of functional near-infrared spectroscopy (fNIRS), or skills in processing and analysing data of brain activity using other methods (e.g. MRI / fMRI and EEG data), and laboratory-based motion analysis systems or clinical testing of cognitive and motor function is highly meritorious. Good programming skills, including experience with R, Python, Matlab, etc are a strong merit.

The successful candidate is expected to be organized, structured and have an ambitious and innovative attitude. Being able to work independently and having strong decision-making skills is required. A strong publication record and experience from leading projects are also a merit. uMOVE collaborates with several research groups and clinicians, and good collaborative skills are necessary. Very good ability to speak and write English is a requirement. Being fluent in speech and writing in Swedish is a merit. The candidate should be strong in problem solving and development of new technologies. Emphasis will be put on personal skills in the evaluation process.

Application process
An employment application must contain the following documents in English or Swedish:

1. A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
2. A complete list of publications
3. A summary of current work (no more than one page)

The application is to be submitted through the Varbi recruitment system.