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Stillingstittel:
PhD Research Fellow in Molecular and Systems Neuroscience

Stillingsbeskrivelse:
Jobbnorge ID: 166264

Job abstractJV_description

Position as PhD Research Fellow available at the Department of Biosciences, University of Oslo, in the research group of Associate Professor Marianne Fyhn at the Center for Integrated Neuroplasticity (CINPLA). The position is in collaboration with Professor Cliff Kentros at the Kavli Institute for Systems Neuroscience, NTNU.

The project is part of an interdisciplinary project, 'DigiBrain', funded by the BIOTEK2021 Digital Life program of the Research Council of Norway. The announced position is a collaboration between the research groups of Fyhn and Kentros. Their joint expertise covers in vivo recordings of neural activity during behavior and development of genetic tools for cell type specific genetic perturbations of neural circuits at multiple levels.

The goal of the present project is to identify molecular and cell type specific mechanisms contributing to defined aspects of the disturbed information processing observed in severe mental disorders such as schizophrenia.

The long-term goal is to link combinations of risk gene variants observed in patients to altered neuron function. To achieve this, the project will make use of recent advances in gene editing and transgenic to be applied in in vivo models. Effects of the perturbations will be assessed by electrophysiology and imaging approaches in vitro and in vivo. The work will be coupled with parallel projects developing computational models at the single neuron and network levels.

Thus, the project involves interdisciplinary work and close collaborations between molecular biology, experimental neuroscience and computational modelling. As such, the successful candidate will work with both experimental and computational neuroscience research groups at the University of Oslo and NTNU.

More about the position

The fellowship will be for a period of 3 years. There is a possibility for a period of 4 years, with 25 % compulsory work (e.g. teaching responsibilities at the department) contingent on the qualifications of the candidate and the teaching needs of the department.

The research fellow must take part in the Faculty's approved PhD program and is expected to complete the project within the set fellowship period.

Qualification requirements

• Master's degree or equivalent in Neurobiology, Molecular Biology or experimental Physiology
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• The preferred candidate will have experience in experimental physiology, preferably from in vivo imaging (e.g., multiphoton microscopy) or electrophysiology, and molecular biology.
• Due to the interdisciplinary nature of the project, the candidate should also have experience with or a strong interest in computational neuroscience.

Grade requirements:

The norm is as follows:

• the average grade point for courses included in the Bachelor's degree must be C or better in the Norwegian educational system
• the average grade point for courses included in the Master's degree must be B or better in the Norwegian educational system
• the Master's thesis must have the grade B or better in the Norwegian educational system
• Fluent oral and written communication skills in English and a Scandinavian language.

http://www.mn.uio.no/english/research/phd/application/application.html

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:

http://www.uio.no/english/research/phd/

http://www.mn.uio.no/english/research/phd/

We offer

• Salary NOK 449 400 - 505 800 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
• Attractive welfare benefits and a generous pension agreement
• Vibrant international academic environment
• Oslo's family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include

• Cover letter
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of the original Master's degree diploma, transcripts of records and letters of recommendation
• Documentation of English proficiency
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• A brief account (one page, as a separate file) of the applicant's interest and motivation for applying for the position
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link "apply for this job". Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English or a Scandinavian language.

Applicants may be called in for an interview.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

Contact information

Associate Professor Marianne Fyhn: marianne.fyhn (at) ibv.uio.no or Professor Cliff Kentros: clifford.kentros (at) ntnu.no .

For questions regarding the recruitment system, please contact HR-officer: nina.holtan (at) mn.uio.no .

Se annonsen og søk på stillingen www.jobbnorge.no

numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2131

abstractJV_contact_0: See jobabstractJV_description

Arbeidsgiver Navn: Universitetet i Oslo

source: NAV