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Norwegian University of Life Sciences

NMBU's mission is to contribute to the well-being of the planet. Our interdisciplinary research and study programmes generate innovations in food, health, environmental protection, climate and sustainable use of natural resources.

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Arctic biology courses

Despite the apparent harshness of the high Arctic, many organisms are well adapted to this environment. The fauna and flora of Svalbard include more than 1,800 marine invertebrate species, 1,200 terrestrial or freshwater invertebrate species and over 170 higher plant species in addition to the 22 mammal and 28 bird species.

UNIS emphasizes the biological studies (taxonomy, diversity, ecology, physiology) of the fauna and flora of Svalbard related to the physical and chemical environment. Easy access to key habitats gives students and staff at UNIS a unique opportunity to identify and quantify environmental threats in addition to gaining basic knowledge of the Arctic.

Field activities

All AB courses are research-based in both content and activities. Our students get hands-on experience with ongoing research and are trained in real-life situations.

Field activities are undertaken year-round in combination with classroom activities and laboratory exercises. This integrated approach provides students with a first-hand experience of the biological processes and the natural history of the terrestrial, limnic and marine flora and fauna in an Arctic environment.

Centre of excellence in higher education (SFU)

The Norwegian Agency for Quality Assurance in Education (NOKUT) has awarded UNIS, together with University of Bergen and Institute of Marine Research a Centre of Excellence in Higher Education (SFU). SFU is a national Norwegian prestige programme to promote standards in higher education, and implies a focussed and long-term commitment to stimulate the teaching and learning methods at bachelor, master, and PhD level.

BioCEED (Centre of Excellence in Biology Education)

Part of the motivation for BioCEED (Centre of Excellence in Biology Education) is to further develop the integration of field-based activities and the link to ongoing research in our education. The first noticeable change is a reorganisation of our bachelor courses. The marine biology course (AB-202) is offered in the spring semester and the Arctic Ecology course (AB-204) in the autumn semester. This enables us to improve the overall field component of the courses by linking them more effectively to ongoing research, as well as giving a tighter link between courses offered in the same semester.

Bachelor course combinations

Recommended workload is 30 ECTS per semester.

Are you a student enrolled at University of Oslo, NTNU or NMBU?

See how a semester or two at UNIS fits into your study programme:

• University of Oslo – Bachelor in Life Sciences ( biovitenskap )
• NTNU – Bachelor in Marine Biology and Aquaculture; Ecology, Behavior and Evolutionary Biology; Ecology, Behavior and Evolutionary Biology II
• NMBU – Bachelor in Ecology and Nature Management

Bachelor courses

AB-201 Terrestrial Arctic Biology (15 ECTS)

July 29, 2024

AB-202 Marine Arctic Biology (15 ECTS)

Spring semester (January 8th – week 23) Teaching block 1-3

January 08, 2024

AB-203 Arctic Environmental Management (15 ECTS)

Spring semester (January 8th – week 12). Teaching Block 1-3

AB-204 Arctic Population Ecology (15 ECTS)

Master courses

AB-320 Arctic Marine Zooplankton (10 ECTS)

August 19, 2024

AB-322 Fluxes of Nutrients, Energy and Contaminants from Sea to Land (10 ECTS)

June 24, 2024

AB-323 Light Climate and Primary Productivity in the Arctic (10 ECTS)

Spring semester (April 15th – week 22). Teaching block 3

April 15, 2024

AB-327 Arctic Microbiology (10 ECTS)

AB-329 Arctic Winter Ecology (10 ECTS)

Spring semester (January 8th – week 8). Exact exam/end date TBA

AB-332 Arctic Marine Molecular Ecology (10 ECTS)

September 23, 2024

AB-333 Freshwater Ecology of Arctic Lakes and Ponds (10 ECTS)

Spring semester (February 26th – week 13). Teaching block 2

February 26, 2024

AB-337 Seminars in Arctic Biology (2 ECTS)

Every semester, annually.

AB-340 Climate Change Biology (10 ECTS)

November 04, 2024

PhD Courses

AB-820 Arctic Marine Zooplankton (10 ECTS)

AB-822 Fluxes of Nutrients, Energy and Contaminants from Sea to Land (10 ECTS)

AB-823 Light Climate and Primary Productivity in the Arctic (10 ECTS)

AB-827 Arctic Microbiology (10 ECTS)

AB-829 Arctic Winter Ecology (10 ECTS)

AB-832 Arctic Marine Molecular Ecology (10 ECTS)

AB-833 Freshwater Ecology of Arctic Lakes and Ponds (10 ECTS)

Spring semester (February 26 – week 13). Teaching block 2

AB-837 Seminars in Arctic Biology (2 ECTS)

Every semester, annually

AB-840 Climate Change Biology (10 ECTS)

Norwegian Research School in Neuroscience

• Registration and practical matters
• Oral and poster presentations
• Previous conferences
• Summer school

PhD courses

• Seminars and conferences
• International training opportunities
• NRSN Training Grants
• FENS/IBRO-PERC Exchange Fellowships Programme

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. 

How to register for 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 or click the link for registering as an external candidate below each course description. 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 2024

February 2024.

Human Brain Anatomy Course (in person)

Comprehensive introduction to human brain anatomy. Suitable for undergraduates and postgraduates in neuroscience, psychology and medicine.

• Covers topographic, functional, and MRI neuroanatomy
• Very clear and accessible delivery, assumes minimal prior knowledge
• Includes live neuroanatomy video demonstrations
• Opportunity to get 'hands-on' with preserved human brain specimens!
• Includes instant access to 8 high-quality ONLINE preparatory modules

Price: £395 (with instant access to 8 online preparatory modules).

Register here , and read more about our international training grants here . 

March - May 2024

Visualize your Science (4 ECTS)

The course Visualize your Science is tailor-made for PhD-students and Post. docs who want to improve your skills in drawing figures, making posters, and visually convey your research more effectively to mainly your peers but also the general audience. The course is an official PhD-course at KTH Royal Institute of Technology in Stockholm and SLU Swedish University of Agricultural Sciences in Uppsala.  The Spring course will be all  online,  the starting date is the 18th of March and ends on the 8th of May.

May - June 2024

NEVR8011 - Concepts in Data Analysis (7.5 ECTS)

Lectures in weeks 21, 22, and 23; final exam in week 25.

During this course we will introduce the most standard techniques for the analysis of neural data, starting from their principles and highlighting strengths and limitations of each of the approaches. The topics of the course can be divided into two main modules: 1) Non-parametric or exploratory data analysis and 2) Parametric data analysis or statistical learning with models. Module 1 includes dimensionality reduction techniques, such as PCA, and Information Theoretic methods. Module 2 includes the simple linear regression model (and GLMs), methods for model inference and validation, model selection and decoding, Bayesian inference. Each presented topic will be accompanied by exercises, which will be introduced and partly worked through in class. 

NRSN members from other universities must  register as an external candidate  at NTNU.

Spring 2024

PSY8005 - 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).

The course will only be run with a minimum of five PhD candidates and a maximum of fifteen candidates. 

NEVR8012 - Math for Biologists I: Linear Algebra (7.5 ECTS)

Many fields within the Biological Science are becoming increasingly quantitative and interdisciplinary. This poses the double challenge of having a good understanding of the biological aspects of the problem under study, as well as of the mathematics used to analyze the acquired data and to develop models for it. The goal of this course is to introduce biologists to basic concepts in Linear Algebra that they will encounter in most of the analysis techniques and models they will employ in their research. The course will smoothly introduce the language of mathematics, with the aim of easing interdisciplinary communication. Each class will be divided into a lecture and a practical session. 

The course will be held in the fall semester 2024 (mid August to end of October).

NRSN members from other universities must  register as an external candidate  at NTNU. 

September 2024

Neuroscience data integration through use of digital brain atlases (2 ects).

Dates : September 16th-17th 2024

Where : Kavli Institute of Systems Neuroscience, NTNU, Trondheim

With a new generation of three-dimensional digital reference atlases, new solutions for integrating and disseminating brain data are being developed. This course contains an introduction to currently available reference atlases for mouse and rat brain. It will demonstrate how the 3D brain templates for the reference atlases are acquired, how they are used as a basis for delineating the structures of the brain, how they can be enriched by other data modalities, and how they can be used as a basis for assigning location (coordinate based or semantic) to a wide range of structural and functional data collected from the brain. The course will also 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, with opportunities for hands-on exploration of selected tools.

This course is offered by the University in Oslo but will in 2024 be held in Trondheim as a satellite event to the NRSN 2024 PhD conference , arranged at Jegtvolden Fjordhotell on September 18th-20th. NRSN members can apply for accomodation and travel support to attend the course.

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

September - October 2024

Igsin913 - interdisciplinary neuroscience (6 ects).

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

Participants can obtain 3 ECTS points for attending the course during the two weeks (minimum 80 % attendance). An additional 3 ECTS points can be obtained by handing in a written assignment (with an integrative perspective on neuro-anatomical, physiological, chemical, and psychological aspects of mental diseases and normal behavioural functions).

Register here .

Deadline for application: August 20th

NRSN members from other universities must  register as an external candidate  at the University of Bergen (UiB). 

October 2024

ISGIN911 - Course in Functional Neuroimaging  (3 ECTS)

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. After finishing the course, students will have basic knowledge of neuroanatomy and functional neuroimaging approaches. 

October - December 2022

BT8121 - Transdisciplinary Biotechnology (7.5 ECTS)

The aim is to obtain a true transdisciplinary course where PhD students from different backgrounds (biotechnology/life sciences and bioinformatics/mathematics/computer science) work together in the context of modelling and/or data analysis, and also learn about data collection in biotechnology/life sciences. Responsible research and innovation (RRI) will be an integrated part of the course. 

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

This course is offered by the University in Oslo and takes place in fall 2024. Dates to be announced in May 2024.

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 practical hands-on sessions. A take-home examination will be given at the end of the course.

December 2024

MEDFL5246 – Biology of Ageing (5 ECTS)

Biology of Ageing’ covers evolutionary and mechanistic theories of ageing; comparative biology of ageing; the new model organism genetics of lifespan (eg C. elegans, Drosophila, mouse); methods in ageing research (eg functional genomic analysis); the biology of dietary restriction; cellular senescence and senotherapy, telomeres and cancer; ageing-related disease; the biology of insulin signalling, energy handling and associated diseases (eg diabetes and obesity); stem cell ageing; prospects for treatments for ageing; and social and ethical issues relating to research on ageing.

NRSN members from other universities must  register as an external candidate  at the University of Oslo (UiO). 

Past courses in 2023

March - may 2023.

The course Visualize your Science is tailor-made for PhD-students and Post. docs who want to improve your skills in drawing figures, making posters, and visually convey your research more effectively to mainly your peers but also the general audience. The course is an official PhD-course at KTH Royal Institute of Technology in Stockholm and SLU Swedish University of Agricultural Sciences in Uppsala.  The Spring course will be all  online,  the starting date is the 28th of February and ends on the 12th of May.

PSY8005 - High-Density EEG analysis (10 ECTS)

DT8122 - Probabilistic Artificial Intelligence (7.5 ECTS)

The Nordic Probabilistic AI School, also known as ProbAI school, is an annual ‘summer’ school supported by the Norwegian Open AI Lab (NAIL) and the Norwegian University of Science and Technology (NTNU).

The mission of ProbAI is to create an inclusive environment serving a state-of-the-art expertise in probabilistic machine learning. The school is considered to be of an intermediate to advanced level, covering topics such as probabilistic models, deep generative models, latent variable models, inference with sampling and variational approximations, normalizing flows, neural ODEs, probabilistic programming, and some of the latest research.

The next ProbAI will be held on June 12-16 in 2023, when the program will be back where it all started at NTNU in Trondheim. Applications will be opening in February 2023.

B322/01 Principles of Neural Organization (5 ECTS)

Time and date: 5th - 13th June 2023 (including weekends) at 09:00 - 15:00

Venue: Aarhus University

Course fee: 6,000.00 DKK

The course is being offered by the Graduate School of Health, Aarhus University, 2023.

Criteria for participation: University degree in medicine, dentistry, nursing, or master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).Aim: This course is interested in the following question: How can the brain be far smarter than a supercomputer yet consumes 100,000-fold less space and energy? Both brain and computer obey mathematical and physical laws and both deal with receiving, sending, processing, storing, and retrieving information. The course is supplemented with an introduction to the techniques that are (mainly) exclusive to neuroscience. This includes optogenetics, in vitro and in vivo electrophysiology, calcium imaging from behaving animals, and animal behavior. Students will visit the labs performing these experiments and will see these techniques in action.

The course will be held in the fall semester 2023 (mid August to end of October).

September 2023

FYS488 Computational Neuroscience (10 ECTS)

Selected topics related to mathematical modelling of (i) signal processing in nerve cells, (ii) neural coding and decoding, (iii) receptive fields in the visual system, (iv) information transmission in the nervous system, (v) biophysics of nerve cells, (vi) biological neural networks, and (vii) learning and memory.

Gain a comprehensive understanding of how the properties of neurobiological systems can be modelled mathematically and be able to navigate in the academic literature on computatiional neuroscience. Be able to formulate and solve simple models from computational neuroscience. Be able to navigate in and acquire knowledge from scientific literature in the subject field in order to be able to develop more complicated models. Understand that mathematical models are necessary in order to understand complex neurobiological processes.

NRSN members from other universities must  register as an external candidate  at NMBU.

PhD course in functional neuroimaging (fMRI) (3 ECTS)

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 twoparts.

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.

Course in Interdiciplinary Neuroscience (6 ECTS)

Dates: 25th September - 6th October

Registration deadline: 25th August

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.

Past courses in 2022 

September 2022.

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.

September-October 2022

IGSIN913 - Integrated Neuroscience Course (6 ECTS)

October-November 2022

Nevr8015 - math for biologists ii: calculus and introduction to probability theory (7.5 ects).

The goal of this course is to introduce PhD students in the Life Sciences to concepts in Calculus and Probability Theory that they will encounter in most of the analysis techniques and models they will employ in their research. The course will smoothly introduce the language of mathematics, with the aim of easing interdisciplinary communication. No previous mathematical knowledge is required, as we will start from the basics. Each weekly class will be divided into a lecture and a practical session.

October-December 2022

December 2022.

MEDFL5245 – Biology of Ageing (4 ECTS)

Past courses in 2021

August 2021.

NEVR8012 - Concepts in data analysis (7.5 ECTS) 

During this course we will introduce the most standard techniques for analysis of neural data, as well as cutting edge techniques that are becoming very prominent in the analysis of big datasets. Each presented topic will be accompanied by exercises. Lecturers will encourage all attendees to try to implement the introduced techniques to their own data. Time will be allocated for discussions and to provide some guidance.

Find more information here! 

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.

10th - 16th September

Janubet primate neurobiology school.

Venue: Kyoto and Inuyama Japan

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)

Integrated Neuroscience (6 ECTS)

Registration deadline: 30th August

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 

19th february - 30th april, math for biologists - linear algebra - digital (7.5 ects).

This course is offered by the Kavli Insittue and NTNU.

Many fields within the Biological Science are becoming increasingly quantitative and interdisciplinary. This poses the double challenge of having a good understanding of the biological aspects of the problem under study, as well as of the mathematics used to analyze the acquired data and to develop models for it. The goal of this course is to introduce biologists to basic concepts in Linear Algebra that they will encounter in most of the analysis techniques and models they will employ in their research.

NRSN members from other universities must register as an external candidate at NTNU. 

19th -26th April 

This course is offered by the University in Oslo and takes place in April 2021. 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!

2nd - 5th March

Registration deadline: February 15th

PhD course in functional neuroimaging (fMRI)

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.

Past courses in 2019 

11th - 22nd march.

Registration deadline: February 1st

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 

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.

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

Registration deadline: 1 September

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:  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: 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 ([email protected]), ph. 67231509. For other questions, contact [email protected] .

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.

PhD scholarship at NMBU within Environmental Radioactivity, Radon and Natural Occurring Radioactive Material (NORM)

Submitted by Ms. Cath Barnett on Thu, 07/01/2021 - 07:46

Main tasks:

• Characterizing the exposure from radon and other NORMs, together with metals or other stressors, from drinking water as basis for epidemiological studies.
• Determination the amount of radon, NORM and metals in various water sources using radioanalytical techniques and ICP-MS.
• Combined in situ size and charge fractionation techniques might be applied to determine possible bioavailable fractions.
• Presentation of the scientific results from the PhD work for the RADONORM consortium and the wider scientific community

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

Application deadline: 20.08.2021

More information

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Economics and Business

The Economics and Business programme of the Norwegian University of Life Sciences (NMBU) is offered at the School of Economics and Business.

Norwegian University of Life Sciences (NMBU) Multiple locations Ås , Norway Top 4% worldwide Studyportals University Meta Ranking 4.1 Read 25 reviews

The PhD programme in Economics and Business is located at the School of Economics and Business, Norwegian University of Life Sciences.

"Economics and business" is interpreted in a broad sense to include, inter alia, entrepreneurship, innovation and organizational theory.

The aim of the Economics and Business programme of the Norwegian University of Life Sciences (NMBU) is to qualify candidates for research of international standard within all the department’s subject areas, and for other work that require scientific insight and analytical thinking and skills.

PhD students learn to work in accordance with recognized principles of academic and research ethics.

Job opportunities

• The PhD programme in Economics and Business shall qualify candidates for research of international standard within all the department’s subject areas, and for other work where there are high demands on scientific insight and analytical thinking. Students must learn to work in accordance with recognised principles of academic and research ethics.

Programme Structure

Courses include:

• Research Ethics and Philosophy of Science
• Microeconomic Theory
• Topics in environmental economics
• Development Economics: Methods and Policy Analysis
• Climate Economics
• Intellectual Property Rights

Key information

• 36 months

Start dates & application deadlines

• Starting 2024-08-01 00:00:00 Application deadline not specified.

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Disciplines

Academic requirements.

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Student insurance.

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

• Additional medical costs (i.e. dental)
• Repatriation, if something happens to you or your family
• Home contents and baggage

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Norwegian University of Life Sciences (NMBU) and/or in Norway, please visit Student Insurance Portal .

Other requirements

General requirements.

• To be admitted to one of NMBU`s eight PhD programmes, you need to have the following requirements met: education background, sufficient knowledge of the English language, and funding. In addition, the faculty must have supervisory capacity within the relevant field of study.
• You must have a master's degree with a scope of at least 120 credits (ECTS) that is based on a bachelor’s degree of minimum 180 credits (ECTS), or a cand.med.vet. degree, or an integrated master’s degree with a scope of minimum 300 credits (ECTS).

Tuition Fee

International, living costs for ås.

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find PhD's scholarship opportunities for Economics and Business.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

Read more about eligibility

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Information for PhD applicants at NMBU

Eligibility requirements:

• In order to be admitted, the candidate must fulfill the requirements for admission to PhD education at NMBU. The candidate must have a relevant education equivalent to a five-year Master's degree program with 120 credits at masters level.
• The applicant must have a strong academic background from previous studies, and be able to document good knowledge in English, both written and oral.
• For more detailed information on admission criteria, see "Regulations for PhD Degree at the NMBU" and "PhD programme description" for the current PhD programme.

Remuneration and conditions of employment:

• The position placed in the occupational code 1017 Fellow, pay framework 20 (wage grade 51-62). Fellowships are normally placed in grade 54 (NOK 479 600, -)
• There is seniority promotion in the position.
• The employment is in accordance with current national guidelines for employment as a PhD fellow at universities and colleges.
• The PhD Fellowship position has a fixed term contract.

General information for those who apply for positions at NMBU.

It is assumed that the successful candidate enters an approved programme for a PhD degree and that the work will be planned with a view to completing a doctorate during the stated fixed term period.

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PhD Scholarship in Genetic Background, NMBU, Norway

PhD Scholarship in Genetic Background: The Department of Animal and Aquacultural Sciences (IHA), Faculty of Biosciences (BIOVIT) at the Norwegian University of Life Sciences (NMBU) is offering a three-year PhD scholarship in Animal Breeding and Genetics. This project, part of the NFR project DigiFishent, focuses on developing digital phenotypes for feed intake and efficiency in Atlantic salmon.

PhD Scholarship in Genetic Background of Feed Efficiency of Atlantic Salmon

Summary Table

Designation

PhD Fellow in Genetic Background of Feed Efficiency of Atlantic Salmon

Research Area

Genetic Background of Feed Efficiency of Atlantic Salmon

Ås, near Oslo, Norway

Eligibility/Qualification

• A strong Master’s degree in quantitative genetics and animal breeding .
• Proficiency in English (written and oral).
• Candidates finishing their education by spring/summer 2024 may also apply.
• Knowledge of programming (R, SAS, Python, Linux).
• Familiarity with quantitative genetics software (DMU, ASReml, Wombat, VCE).
• Curiosity and high motivation for research.
• Strong communication and cooperation skills.
• Ability to work independently and in teams.
• Interest in animal or aquaculture genetics.

Job Description

The PhD project is part of the NFR project DigiFishent, aiming to:

• Collect feed intake records across large genomic cohorts of Atlantic salmon.
• Estimate genetic parameters for feed intake and efficiency in both fresh and saltwater phases.
• Apply genomic prediction and mapping models to feed efficiency and intake.
• Estimate genetic correlations between stable isotope-based feed efficiency and other methods.

The successful candidate will develop a plan to complete their PhD within the scholarship period, engage in national and international research stays, and collaborate with experts at Nofima.

How to Apply

• Apply online through NMBU’s Web Recruitment System.
• Ensure your CV is in JobbNorge’s format.
• Motivation letter (max 1 page).
• Complete CV.
• Certified academic diplomas and certificates.
• English proficiency documentation.
• Names and contact details for two references.
• Additional relevant documentation of professional knowledge.

Last Date for Apply

June 5, 2024

For further information, contact Dr. Gareth Difford at [email protected] or +47 413 43 309.

More details about NMBU can be found at NMBU’s website .

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PhD Scholarship Position in Biotechnology at Ghent University, Belgium

PhD scholarship within Forest Ecology

Norwegian university of life sciences (nmbu) , norway.

Faculty of Environmental Sciences and Natural Resource Management at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position in forest ecology.

The position is part of the project BioDivAbove “Biodiversity mapping of forests from above” funded by the Research Council of Norway running from 2023-2027. BioDivAbove is a unique collaboration between researchers in ecology and forestry (NMBU, UiO), the forest industry (Mathiesen Eidsvold Værk and Norskog) and NGOs (Sabima, WWF). One PhD-candidate and one postdoc will be recruited to the project.

The biodiversity in Norwegian forests is highly influenced by forestry, including clear-cutting. Our goal in the BioDivAbove project is to develop a method to locate important biodiversity in Norwegian spruce forests by combining remote-sensing data with high-throughput biodiversity inventory. The method should be usable for forest management to prevent species loss and the functions they provide.

The forest property of Mathiesen Eidsvold Værk (MEV) in Hurdal north of Oslo (Norway) will be used as a study area. We will acquire new remote sensing data and use DNA metabarcoding analyses to identify insects and fungi from soil, dead wood, and air. We will also categorize each site according to NiN, survey dead wood and measure forest age and structure.

The biodiversity will be monitored at 300 locations distributed across the forest property, representing the variation in environmental conditions, biodiversity and species composition across the area. A particular focus will be on differences in forest management regimes. By combining remote sensing data, environmental variables and species occurrence data, we aim to model wall-to-wall maps of the biodiversity at the property and compare with existing biodiversity data.

The successful candidate for the position will focus on modelling of biodiversity patterns such as species richness, turnover and composition in relation to forest naturalness, productivity and other environmental variation in space and time.

The candidate will be formally supervised by 3-4 researchers at NMBU and UiO, but will interact with a high number of project participants, including non-research partners.

The starting date for the position will ideally be June 2024, but for the right candidate, both earlier and later starts may be negotiable.

The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment.

The main activities will be related to the following tasks:

• Fieldwork, organize data, statistical analyses and modelling, scientific writing, and dissemination of results. There will be a possibility to do lab-work according to qualification and interest.

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic background from previous studies and be able to document proficiency in both written and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description .

The applicant must document expertise and interest in the research subject.

Required Academic qualifications:

• Master’s degree within a relevant field, such as ecology, biology, forest sciences or similar with good results. 
• Fundamental knowledge in ecology and biodiversity
• Strong statistical competence  

The following experiences and skills will be emphasized:

• Motivation for the outlined research project
• Experience with handling large datasets, preferably with good competences in R
• Experience with multivariate and univariate modelling methods, including analysis of ecological gradient relationships and species distribution modelling
• Experience with identification of insects/arthropods or fungi
• Experience with field- and laboratory work
• Experience with scientific writing and dissemination
• Experience with DNA-metabarcoding

Personal characteristics important for the positions are:

• Strong scientific capacity and analytical skills
• Good social and collaboration skills
• Ability to work independently
• Driving license

The position is placed in government pay scale position code 1017 PhD. Fellow. PhD. Fellows are normally placed in pay grade 54 (NOK 532 200 statens lønnstabell) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

Employment is conducted according to national guidelines for University and Technical College PhD scholars.

For further information, please contact Professor Tone Birkemoe

E-mail: [email protected] ; phone +47 92049331.

Information for PhD applicants  and general information to applicants

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 18.03.2024

Your CV must be entered in JobbNorge's CV form and not just included as an attachment. This is to be able to comply with the regulations of §15 of the Public Administration Act.

In the application, the candidate must confirm that information and documentation (in the form of attachments) submitted via the job application can also be used by NMBU in a possible admission process.

Applicants invited for an interview are expected to present original diplomas and certificates.

The following documents must be attached to the application:

• Motivation letter (maximum 1 page)
• Complete CV 
• Certified copies of academic diplomas and certificates. (i.e. Di-ploma, transcript. Diploma supplement for both bachelor and master). Diplomas, transcripts and diploma supplements that are not in Norwegian or English must be uploaded in the original language. An English translation of these documents must also be attached.
• Applicants from universities outside Norway are kindly requested to send a diploma supplement, or a similar document, which describes in detail the study program and grading system.
• Documentation of proficiency in written and oral English in accordance with NMBU PhD regulation section 5-2 (3) . 
• Names and contact details for two references
• Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.

The Faculty of Environmental Sciences and Natural Resource Management (MINA) works with nature and the environment, sustainable use of natural resources, biological and geological processes.

MINA’s employees undertake teaching, research and dissemination within the fields of geology, hydrology and limnology, soil science, environmental chemistry, forestry, ecology, natural resource management, renewable energy, and nature-based tourism.

Our vision is to be a key actor in knowledge production and dissemination, and our goal is to deliver research of high, international quality, and varied and excellent teaching. The faculty’s employees are significant participants within their respective fields of expertise, both nationally and internationally. The faculty is dominated by a vital research culture and high levels of scientific production.

The faculty has about 200 employees, 90 PhD students and 650 students.

Read more about MINA here .

NMBU will contribute to securing the future of life through outstanding research, education, communication and innovation. We have the country's most satisfied university students, who receive research-based education in a unique student environment. Our graduates gain a high level of competence in interdisciplinary collaboration and are popular in the labor market. NMBU has internationally leading research environments in several subjects. Together with our partners in society and business, we contribute to solving some of the biggest societal challenges of our time.

We focus on innovation, communication and entrepreneurship because we believe these challenges are best solved with joint efforts. We believe that a good working environment is characterized by diversity.If necessary, workplace adaptations will be made for persons with disabilities. More information about NMBU is available at www.nmbu.no/en

18th March 2024

Norwegian University of Life Sciences (NMBU)

Fulltime (1 positions) Fulltime (%)

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