A doctoral position is an available doctoral education project to which a PhD student is to be recruited. After the selection process the process for admission to doctoral education will commence. An admission decision will not be taken until an individual study plan has been approved by the departmental admission board.
For more information regarding doctoral (PhD) education, see: http://www.ki.se/doctoral.
The research group of prof. Henrik Ehrsson has funding available for a 4 year PhD position in cognitive imaging neuroscience. Our work focuses on how we come to experience that we own our body, and why we experience that we are located inside our physical bodies. To address these issues we use a combination of behavioral and functional magnetic imaging methods. For more information about our research, please visit www.neuro.ki.se/ehrsson/. Our laboratory has expertise in functional magnetic resonance imaging (fMRI) and behavioral approaches (including virtual reality technology). We have local access to two state-of-the-art 3-Tesla MRI scanners, a MEG scanner and transcranial magnetic stimulation (TMS).
The doctoral education project and the duties of the student
The candidate is expected to work within the general framework of the research project on the multisensory mechanisms of full-body ownership, but will be encouraged to formulate his or her own ideas and proposals for experiments. The project uses full-body illusions and advanced functional magnetic resonance imaging analyses to investigate the brain mechanisms that underpin the sense of owning an entire body in space.
Entry requirements for doctoral education at KI
To be eligible for doctoral education following requirements has to be met:
General entry requirements
A person meets the general entry requirements for doctoral/third-cycle/PhD education (according to Higher Education Ordinance Chapt 7, section 39) if he/she:
Specific entry requirements
Proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school:
Proficiency in the English language can be documented by an internationally recognized test such as TOEFL or IELTS, see web-link below for more information.
Applicants who meet the general entry requirements (1 or 2 above) from a university in one of the Nordic countries fulfill the requirements in English.
For more information regarding general and specific entry requirements: http://ki.se/en/education/entry-requirements-eligibility-for-doctoral-education
Skills and personal qualities
The candidate must have a master's degree in psychology, neuroscience, cognitive science, medicine or engineering. He or she should have a strong and documented interest in cognitive neuroscience and neuroimaging techniques.
We are looking for a highly motivated and talented individual that can actively contribute with own ideas and proposals. Proficiency in oral and written English is necessary, as are good social skills. The candidate should have a strong track record of successful internship projects; if this has resulted in a publication this is a plus. The candidate should have strong programming skills; good knowledge of Matlab and SPM is a plus.
A selection will be made among qualified applicants on the basis of the ability to benefit from doctoral education. Karolinska Institutet uses the following bases of assessment:
- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to doctoral studies in the subject
The qualifications of the applicants will be evaluated on an overall basis.
Terms and conditions
All doctoral students at KI receive financial support during their doctoral education and employment on a doctoral studentship is the most common sort of support. During the time between recruitment and admission a short-term employment can be offered for up to 6 months.
An application must contain the following documents in Swedish or English:
Top-ranked applicants will be interveiwed in Stockholm.
The application is to be submitted through the MyNetwork recruitment system, no later than April 14th.
|Type of employment||PhD placement|
|Contract type||Full time|
|First day of employment||upon agreement|
|Last application date||14.Apr.2017 11:59 PM CET|