[Neuroinfo] Ph.D. student position in computational neuroscience

Tuomo Mäki-Marttunen tuomo at simula.no
Tue Sep 15 09:02:33 CEST 2020

*** Apologies for cross-posting ***

We are looking for a highly motivated and talented Ph.D. student to work 
on biophysically and biochemically detailed neuron modelling. The 
position is fully funded, starting Jan 1st 2021 or as mutually agreed 
and lasting 3-4 years. Please send your application by 25th October.

*Job description*

The Ph.D. student is expected to work on computational modelling of 
mental disorder-linked disease phenotypes and their genetic mechanisms. 
The student will use and extend existing biophysically and biochemically 
detailed neuron models to study the disease mechanisms of schizophrenia. 
A specific aim of the Ph.D. project is to further the mechanistic 
understanding of schizophrenia-associated phenotypes such as deficits in 
prepulse inhibition and mismatch negativity and the contribution of 
genes identified by psychiatric genome-wide association studies to these 
phenotypes. The student will be supervised by Dr. Mäki-Marttunen at 
Tampere University, and will be employed in the Computational 
Neuroscience group led by Prof. Linne. The student is expected to be 
involved in our collaborative research with the Norwegian University of 
Life Sciences and University of Oslo (Prof. Gaute Einevoll and Prof. Ole 


We are looking for a candidate with a strong background in scientific 
computing and dynamical systems, and a deep interest in molecular and 
cellular-level neuroscience. The candidate should hold an M.Sc. degree 
in physics, mathematics, computer science, or a related field and have 
good verbal and written communication skills in English. The candidate 
should be deeply motivated in obtaining a Ph.D. degree in the field of 
computational neuroscience.

Specific skills we are looking for:

-Experience in numerical solution of ordinary and partial differential 

-Python programming and other programming skills

-Previous experience in neuroscience and parallel computing is a plus

*We offer*

The position will be filled for a fixed-term period of three (3) to four 
(4) years. *The starting date is 1 December 2020 or as mutually agreed. 
**A trial period of six (6) months applies to all our new employees.*

The salary will be based on both the job requirements and the employee’s 
personal performance in accordance with the salary system of Finnish 
universities. According to the criteria applied to teaching and research 
staff, the position of a Doctoral Researcher is placed on level 2—4 of 
the job requirements scale. A typical starting salary for Doctoral 
Researchers is approximately 2350 - 2450 EUR/month.

We offer a vibrant, English-speaking academic environment in Tampere, 
Finland. Tampere University is the second largest university in Finland. 
The project will employ local and national supercomputers needed for the 
simulations. The university offers a range of staff benefits, including 
occupational health care, flexible working hours, sports facilities, and 
several restaurants and cafés on campus with staff discounts.  Read more 
about living and working in Tampere, Finland: 
https://www.tuni.fi/careers. For more information on Tampere, please 
visit https://visittampere.fi/en/. <https://visittampere.fi/en/>

*How* *to* *apply*

Please submit your application through our online recruitment system: 
https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694. *The closing date 
for applications is 25 October 2020 (23:59 EEST (GMT+3)).* *Please write 
your application and all the accompanying documentation in English and 
attach them in PDF format.*

Please attach only the following documents to your application:

  * A letter of motivation and description of your research interests
    (max. 1 A4 page)
  * Curriculum vitae (see, e.g., the TENK template
    including the contact details of two referees).
  * Transcript of records (master's degree studies).

See https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694 for details.

        *For further information, please contact:*

Academy Research Fellow Tuomo Mäki-Marttunen
tuomo.maki-marttunen at tuni.fi <mailto:tuomo.maki-marttunen at tuni.fi>
Tampere University
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