There is one PhD/Postdoc position available at the Kavli Institute for Systems Neuroscience, Faculty for Medicine and Health Sciences, NTNU in Trondheim, Norway from March 2020 onward. The work carried out in this project will be financed by the Research Council of Norway’s Centre of Excellence Scheme and an Independent Researcher Grant. If successful, the candidate will be offered a three-year PhD position or post-doctoral fellowship lasting 2-4 years.
The Kavli Institute for Systems Neuroscience is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002 and designated as a Kavli Foundation Institute in 2007 (www.kavlifoundation.org). The scientific goal of the Institute is to increase the understanding of neural circuits and systems along with their role in generating psychological functions. Through our widespread network of international collaboration, we offer unique career opportunities. For further information, see: www.ntnu.edu/kavli
Description of the project and the job
The Whitlock group (https://www.whitlocklab.org/) at the Kavli Institute for Systems Neuroscience (https://www.ntnu.edu/kavli) has an opening for an outstanding PhD Candidate or a Postdoctoral Fellow in computation and data visualization. The position will focus on generating novel tools for analyzing and visualizing neural tuning to eye and whisker movements in freely moving rats. The candidate should be creative and highly motivated to perform data visualization at the intersection of neurophysiology and advanced tracking methods. The project will advance the group’s recent work measuring neural tuning to body posture (published in Science), with the aim of understanding quantitatively how animals use active sensation to guide 3D behavior. The position will interface between the Whitlock group and that of Assoc. Prof. Benjamin Dunn in the NTNU mathematics department, with whom we collaborate on statistics and machine learning.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (Offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.
About the application:
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applicants invited for interview must include certified copies of transcripts and two reference letters.
The application includes the following:
Information about education background and work experience.
A short research statement explaining the experience and motivation of the candidate for the research topic and describing the relevance of the candidate’s background to the research project (maximum 1 page).
Any relevant publications. Joint work should have a brief explanation of the applicant's contribution attached.
Certified copies of relevant transcripts and diplomas. Diploma Supplement is required to attach for European Master Diplomas outside Norway which describes in detail the program of study, the grading system, and the rights to further studies associated with the degree obtained. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI): http://www.chsi.com.cn/en/).
Contact information for the candidate’s references.
Should it be deemed necessary, documentation of proficiency in the English language (equivalent to a TOEFL score of 600 or more).
Questions about the positions can be directed to Associate Professor Jonathan Whitlock: Phone +47 4516 4390, e-mail firstname.lastname@example.org
For information about the recruitment process, you can contact HR-consultant Ole Kristian Indergård, e-mail email@example.com
Application deadline: 01.03.2020
For the PhD position: Completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in computational neuroscience, physics, mathematics, computer science or equivalent education with a grade of B or better in terms of NTNU’s grading scale.
For the Postdoc position: Completion of a Norwegian doctoral degree within the relevant subject area or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.
Strong familiarity with Python and/or Matlab
It is imperative that the candidate is able to communicate effectively in English, both orally and written.
Travel to present work at national and international conferences should be expected.
The PhD-position's main objective is to qualify for work in research positions, whereas the postdoctoral position should qualify the individual for subsequent for work in academic or industry positions.
For the PhD position, applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.
Emphasis will also be placed on:
Experience with quantitative tracking of animal or human behavior
Experience with data visualization software, e.g. Jython, Fiji
Experience in mathematical or computational modeling
Post-doc candidates should be able to document prior productivity (e.g. publications, abstracts, conference proceedings).
In the evaluation, emphasis will be placed on education, experience and personal suitability in relation to the qualifications specified in the advertisement. We will place great emphasis on the candidate’s motivation for the position in addition to:
strong personal initiative, self-motivation and work ethic
the ability to work collaboratively to accomplish common research goals
being solution-oriented, able to solve problems independently
responding to direction & research strategy
Internal Number: R345817
About The Norwegian University of Science and Technology (NTNU)
The Norwegian University of Science and Technology (NTNU) in Trondheim represents academic eminence in technology and the natural sciences as well as in other academic disciplines ranging from the social sciences, the arts, medicine, teacher education, architecture to fine art. Cross-disciplinary cooperation results in innovative breakthroughs and creative solutions with far-reaching social and economic impact.