[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
Andreassen).
*Requirements*
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
equations
-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
<https://www.tenk.fi/en/template-researchers-curriculum-vitae>),
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
Finland
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