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Faculty of Information Technology and Electrical Engineering

Department of Mathematical Sciences

PhD fellowship in Statistical methods in neuroscience

About the research project

A new PhD fellowship in statistical methods in neuroscience is available in the Statistics group at the Department of Mathematical Sciences (IMF), NTNU. The successful candidate will be offered a three-year position. The Department may offer a six to twelve months extension as a teaching assistant. Start-up date should be no later than August 2019.

 

The project will focus on parameter estimation, hypothesis testing and model selection in large population neural data with detailed 3D tracking of animal behaviour. This project is part of a larger collaboration with Benjamin Dunn and the group of Jonathan Whitlock at the Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU. In this PhD research project diverse experimental and theoretical methods will be combined to study neural representations of natural behaviour in freely moving rodents.

 

Qualifications

The applicant must have a master’s degree in statistics or comparable competence or be enrolled in the final year of a master’s degree programme in statistics. It is an advantage if the student has experience with analysis of neuroscience data. The applicant must satisfy the requirements for admission to the PhD education at NTNU; please see https://www.ntnu.edu/phd and https://www.ntnu.edu/studies/phma. In particular, admission to PhD education at NTNU requires an average grade of at least B, within a scale of A–E for passing grades (A best), for the last two years of the master’s degree.


Candidates completing their MSc-degree in the spring 2019 are encouraged to apply. The position is also open for an integrated PhD for NTNU students starting their final year of their master degree in autumn 2018; see https://www.ntnu.no/ie/forskning/integrertphd for information about integrated PhD.

 

The applicants who do not master a Scandinavian language must document a thorough knowledge of English (equivalent to a TOEFL score of 600 or more).

 

The application

Applications are to be submitted electronically through this page. Preferably, the attachments should be submitted as a single file. Only applications that include the following will be evaluated:

 

  • Information about educational background and work experience.
  • Relevant publications. Joint work will only be considered provided that a short summary outlining the applicant´s contributions is attached.
  • Certified copies of relevant transcripts and diplomas. Candidates from universities outside Norway are requested to send a Diploma Supplement or similar documentation, which describes in detail the programme of study, the grading system, and the rights to further studies associated with the degree obtained.
  • Contact information for two references.
  • An essay (around 600 words) with the title “How can statistics help us understand the brain?”.

The following will be emphasized in the evaluation of the applications:

 

  • Interest in programming, and good knowledge of R or Python or MATLAB.
  • Interest in computational aspects of statistics, and in particular multivariate modelling and analysis.
  • Interest in working with data from neuroscience.
  • Good communication skills and interest in working in a multidisciplinary environment.
  • Written fluency in the English language.

Terms of employment

The PhD fellow will be part of the Department of Mathematical Sciences at NTNU and will have her/his workplace there. See https://www.ntnu.no/imf. The Department currently has around 60 PhD fellows.

 

The PhD fellowship is placed in salary code 1017, with a gross salary of NOK 449 400 per year before tax. A pension contribution of 2% of the salary will be deducted as an obligatory premium to the Norwegian Public Service Pension Fund.


The appointment of the PhD fellow will be made according to Norwegian guidelines for universities and university colleges and to the general regulations regarding university employees. Applicants must agree to participate in organized doctoral study programmes within the period of the appointment and have to be qualified for the PhD-study (see http://www.ntnu.edu/ie/research/phd).


The successful candidate will be required to enrol in a PhD programme within the period of employment, and must sign a contract regulating the starting date and duration of employment as well as the required duties.

 

The position adheres to the Norwegian Government’s policy of balanced ethnicity, age and gender. NTNU wishes to increase the number of women in its workforce, and female candidates are therefore encouraged to apply.

 

For further information, please contact

Mette Langaas, Mette.Langaas@ntnu.no .

Benjamin Dunn, Benjamin.Dunn@ntnu.no  .

 

Reference no: IE 159-2018.        

 

Closing date: 15.10.2018.

Apply for this job

About this job

  • Deadline
    Monday, October 15, 2018
  • Employer
    NTNU - Norwegian University of Science and Technology
  • Website
  • Municipality
    Trondheim
  • Place of service
    Trondheim
  • Jobbnorge ID
    156881
  • Internal ID
    2018/29350
  • Scope
    Fulltime
  • Duration
    Project

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

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