Qualification requirements

• Applicants must hold a doctoral degree in the subject area concerned or competence at a corresponding level and should be able to document professional qualifications as well as scientific expertise in one or more aspects of the discipline associated with this position. The doctoral degree should have been awarded no more than 5 years prior to the application deadline.
• The candidate must be fluent in English, both spoken and written.

Other desirable qualifications:

We expect the candidate to be able to lead research and teach in the domain of human cognitive neuroscience, in addition to supervise and teach at the PhD level. Evaluation of these skills will be based on documented experience and relevant teaching qualifications. Teaching qualifications are not mandatory but documented teaching qualifications and experience will be considered an advantage. 

The person holding the post is expected to have a research record in studying human brain circuits, with emphasis on higher order cognitive (cortical) functions.

The person should have competence in human fMRI. Previous experience using ultra-high field 7T fMRI will be viewed as an asset. Experience developing novel behavioral and fMRI experimental paradigms is also desired.

Experience with clinical studies will be considered an advantage. Because of KISN's focus on experimental studies in animals, the Institute will favour candidates with interest or experience in translating animal studies to humans.

The successful candidate is expected to secure competitive research funding as a group leader. Previous successful funding will count positively. The candidate should have well-defined concepts on how to sustain and develop her/his research group based on a compatible start-up package.  

Please see the Regulations concerning tenure track appointments for general criteria for the position. NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.