NRSN works to make the best neuroscience PhD courses at all partner universities available to all PhD candidates in Norway. Our course portfolio includes ECTS accredited courses in a wide range of topics, based on the partners' expertise. Courses are adapted to facilitate student exchange (e.g., through intensive or module based teaching), and NRSN offers travel- and accommodation grants to external participants.
Travel- and accommodation grants
Travel- and accommodation grants are available to all NRSN members who participate in PhD courses outside of their home institution. Normally, the travel grants cover travelling expenses and are limited to 2000 NOK for the roundtrip, including public transportation to/from the airport. Please note that private transportation is not included. If the course is split in two, you will receive 2000 NOK for the two round trips and so forth. NRSN will cover your accommodation up to 1200 NOK per night. Please note that NRSN are not able to reimburse Airbnb bookings. You have to buy your tickets and arrange your accommodation yourself unless told otherwise. Go to travel reimbursements to learn more about it. In the award letter, you will be informed if the hotel accommodation will be provided by NRSN, or if you have to make this arrangement yourself. NRSN will reimburse your expenses after the event, according to the conditions specified in the award letter.
Apply for a NRSN travel grant
How to register for the PhD courses
You have to apply to the institution that is offering the course to be accepted as an external participant. Please visit the PhD course webpage (by clicking on the course name below) or contact the PhD course coordinator to receive detailed instructions. Note that it is your home institution which is responsible for the formal approval of the course into the educational component of your PhD degree.
Available PhD courses in 2018
19th - 20th June
Application deadline: May 18th
Anatomical reference atlases of the brain are important tools for assigning location to data captured with the many methods and instruments used to study the brain. With a new generation of three-dimensional digital reference atlases, new solutions for integrating and disseminating brain data are being developed. This course will provide a theoretical background and hands on experience with tools for integrating experimental data from rodent brains in reference atlas space. The development and use of novel 3D brain templates for rodent brains for assigning location to a wide range of structural and functional data will be demonstrated. The course will outline examples of data system employed to organize neuroscience data collections in the context of reference atlases as well as analytical workflows applied to the data.
National Master and PhD courses in Computational Neuroscience at Ås, Fall 2018
Application deadline: June 1st
As in the three previous years the participation of students from all over Norway will be facilitated by having the teaching arranged as two intensive periods with lectures and exercises at Ås:
The first teaching block will be from Monday October 1st to Friday October 5th.
The second teaching block will be from Monday November 12th to Friday November 16th.The exam will be sometime in mid-December.
The course requires a working knowledge of mathematics and basic programming.
The course will cover selected topics related to biophysics of nerve cells biophysical modeling of signal processing in nerve cells and neural networks modeling learning and memory biophysical modeling of recorded electrical signals. The course will also give practical experience in using key neuroscience simulation tools like
Most material in the course will be taken from the book “Principles of Computational Modelling in Neuroscience” by Sterratt et al.
The course, which will give 10 ECTS credits (study points), will be come in two versions:
a Masters Course FYS388, and a PhD course FYS488, which in addition to the Masters Course curriculum will involve a project (to be presented at the end of the course)
NOTE: ALL external students, that is, students who are not already registered NMBU-students, MUST apply to become an “enkeltemnestudent” here:
If you apply to take the Masters course, the course code is: FYS388
If you apply to take the PhD course, the course code is: FYS488
Deadline for application is June 1st.
For administrative questions about how to apply for “enkeltemne" at NMBU, contact Sigrun Vedø Lien at NMBU (firstname.lastname@example.org), ph. 67231509.
For other questions, contact Gaute.Einevoll@nmbu.no .
5th - 16th March:
This is a 2-week intensive course from on the EEG methodology and its application in studies of human brain functions, with particular focus on the visual system. Participants will learn about EEG signal processing though lectures, practical exercises in the lab, statistical analyses, group discussions and presentations.
The course is given by Prof. Audrey van der Meer and colleagues in the Developmental Neuroscience Laboratory at NTNU. At the end of the course, each student will write an individual report which forms the basis of the formal assessment (examination).
23rd - 30th April:
This course is offered by the University in Oslo and takes place in April 2018. The course covers the basic principles of neuron signalling and interactions that underlie brain function. Teaching includes lectures by top researchers in neuroscience, group discussions and demonstrations/lab work. A take-home examination will be given at the end of the course.
The 6th annual NRSN PhD conference is open for registration!
A perfect oppertunity to meet neuroscience students from all over Norway!
Our newsletter is our main information channel. Here we announce courses, workshops, and grants available for our members and their supervisors. The newsletter is intended PhD supervisors, group leaders and course organizers in neuroscience.
Additional funding for NRSN international training grants!
The next scientific writing workshop will be held on 1.-3. of October at beautiful Soria Moria hotell outside of Oslo!