PhD courses

PhD courses

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

In order to get your travel and accommodation for a course covered by NRSN you have to apply for a travel grant prior to the course! 

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. 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 2020

 

20th -27th April 

Essentials of Neurophysiology: from neurons to circuits to behaviours (5 ECTS)

This course is offered by the University in Oslo and takes place in April 2020. 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.

NRSN members from other universities must register as an external candidate at UiO. More information on this in the course website!


24th - 30th September

JANUBET Primate Neurobiology School

Venue: Kyoto and Inuyama Japan

NB! Due to the corona situation in Japan, this course has been posponed until 20-26th May 2021

There will be a limited number of stipends covering travel and accommodation from JANUBET and students can apply for support through the NRSN International Training grant program (tentative travel and accommodation costs will be around 3000 Euro)


21st September  - 2nd October

Integrated Neuroscience (6 ECTS)

Registration deadline: 

NB! The course might be altered to digital depending on the current corona situation! 

The course is intended to give the students a basic and integrated understanding of the interplay between neurobiological systems and cognition, affect and behaviour. They will also receive an introduction to basic central methods in neuroscience. 

During the course the students will be introduced to the most important neurobiological systems (neuroanatomical and neurophysiological). They will be introduced to neuromolecular mechanisms and neuropharmacology. Important psychiatric and neuropsychological clinical conditions as well as normal psychological functions will be described and methods for measuring these will be demonstrated. Thirty hours of lectures, demonstrations and/or laboratory work, concentrated over a two week period. 


Past courses in 2020 

 

2nd - 5th March

Registration deadline: February 15th

PhD-Course in functional neuroimaging (fMRI)

The course is intended to PhD students holding a Master degree in neuroscience, psychology, natural sciences or equivalent, as well as medical students, taking part in a research-training programme in medicine. The course will give an introduction to the field of neuroimaging. The course is divided into three parts.

The first part is a short theoretical introduction into neuroscience and neuroimaging, covering all relevant aspects on physiology, neuroanatomy, some of the most relevant functional networks, as well as the technical aspects behind structural and functional magnetic resonance imaging and related methods, such as DTI and perfusion measurements.

In the second part, the course will introduce the most relevant experimental techniques, used in functional neuroimaging, as well as the methods, used for analysing functional as well as structural MRI data.

The third part is the practical part, where an experiment will be developed, performed on the scanner, analysed, and the results will be discussed.


9th - 20th March

Human Psychophysiology: High-Density EEG analysis (10 ECTS)

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). 

Information about how to apply as an external candidate at NTNU can be found here.


6th - 31st July - Cancelled due to corona

Registration deadline: April 15th

STKD6800 Neuro-insights: Data Science Approaches in Neuroscience I (5 ECTS)

STKD6810 Neuro-insights: Data Science Approaches in Neuroscience II (10 ECTS)

Because most young researchers in life and health sciences do not have a solid quantitative background, they face difficulties when analyzing data independently. This difficulty represents a major drawback in research. Students waste time learning analytical methods by themselves that could be more quickly learned with proper instruction and support. Additionally, the lack of convention or standards in some fields is a source of confusion that slows the learning process. As consequence, the quality of insights and research productivity suffer. This course provides a comprehensive introduction to data science and big data applied to neuroscience research.

Its content is designed to train the participants in state-of-the-art techniques in data analysis and machine learning. This will enable the students to interact independently with the data and draw insights from them. The modules are organized so the participants have the opportunity to learn how to handle the most common data types (e.g., EEG, calcium imaging). Special attention is given to field-tested data management protocols, as they are critical for a fast transition from data acquisition to knowledge generation.

This is a hands-on course where the students will learn from implementing the analysis themselves with close supervision. The course will focus on case studies using data from real experiments; advanced students may choose to use their own data. The students will develop understanding through constant presentation of their work and dialectical reflection over their choices, results, and interpretations.

More information here


Past courses in 2019 

 

11th - 22nd March

Registration deadline: February 1st

Human Psychophysiology: High-Density EEG analysis (10 ECTS)

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). 

Information about how to apply as an external candidate at NTNU can be fund here.


8th-13th May 

Registration deadline: 25 March

Hands-on course in comparative neuroanatomy, Sendi Japan

This course aims to provide a concise introduction in comparative neuroanatomy. Teaching includes lectures in the morning covering the development and overall anatomical organization of the brain and the functional organization of main systems in the brain, such as motor, visual as example of sensory systems, basal ganglia and cerebellum, learning and memory and emotion, planning attention and decision making. The afternoons are dedicated to anatomical dissections ranging from fish, frogs, reptiles and mammals, including non-human primate and human primate brains. The dissections will be partially hands on and partially demonstrations.

NRSN members who wish to attend can apply for an NRSN international training grant for this purpose. Maximum number of participants for the course is 15. Accommodation and food during the stay is covered by the NFR funded project JANUBET (Japan and Norway United in Brain Education and Therapeutics).

Find the program for the course here 

Register here


6th-13th May 

Registration deadline: 25 March

Essentials of Neurophysiology: from neurons to circuits to behaviours (5 ECTS)

This course is offered by the University in Oslo and takes place in May 2019. 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.

NRSN members from other universities must register as an external candidate at UiO. More information on this in the course website!


17th - 18th June

IMB9345 Neuroscience data integration through use of digital brain atlases 

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.


19th-30th August 

Sleep regulation: neural circuitry, pharmacology and physiology

The aim of the course is to provide knowledge in the basis of sleep regulation, on the neuronal, physio-logical and pharmacological level. Through a series of readings, active learning exercises and class-room assessments, students will learn the biological basis for circadian regulation of sleep, phenomena and functions of sleep. 


14th - 26th October

Integrated Neuroscience (6 ECTS)

Registration deadline: 1 September

The course is intended to give the students a basic and integrated understanding of the interplay between neurobiological systems and cognition, affect and behaviour. They will also receive an introduction to basic central methods in neuroscience. 

During the course the students will be introduced to the most important neurobiological systems (neuroanatomical and neurophysiological). They will be introduced to neuromolecular mechanisms and neuropharmacology. Important psychiatric and neuropsychological clinical conditions as well as normal psychological functions will be described and methods for measuring these will be demonstrated. Thirty hours of lectures, demonstrations and/or laboratory work, concentrated over a two week period. 


October - November 2019

National Master and PhD courses in Computational Neuroscience at Ås

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 September 30th to Friday October 4th.
The second teaching block will be from Monday November 11th to Friday November 15th.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 
NEURON 
NEST
LFPy 
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: 
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:
https://www.nmbu.no/studier/opptak/soke_enkeltemner 
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

For administrative questions about how to apply for “enkeltemne" at NMBU, contact Sigrun Vedø Lien at NMBU (sigrun.vedo.lien@nmbu.no), ph. 67231509.
For other questions, contact Gaute.Einevoll@nmbu.no .


Past courses 2018

26th - 29th November

IGSIN PhD course in functional neuroimaging (fMRI)

Application deadline: October 30th 

The course is intended to PhD students in neuroscience, and will give an introduction to the field of neuroimaging. The course is divided into three parts. The first part is a short theoretical introduction into neuroscience and neuroimaging, covering all relevant aspects on physiology, neuroanatomy, some of the most relevant functional networks, as well as the technical aspects behind structural and functional magnetic resonance imaging and related methods, such as DTI and perfusion measurements. In the second part, the course will introduce the most relevant experimental techniques, used in functional neuroimaging, as well as the methods, used for analysing functional as well as structural MRI data. The third part is the practical part, where an experiment will be developed, performed on the scanner, analysed, and the results will be discussed.