Tag-arkiv: NMBU

PhD scholarship within sustainability of livestock systems

About the position

Department of Animal and Aquacultural Sciences (IHA), Faculty of Biosciences (BIOVIT) at the Norwegian University of Life Sciences (NMBU) in Ås, near Oslo, has a vacant 3-year PhD–position related to sustainability of livestock systems.

The available position will be organized within the Animal Breeding and Genetics Research Group, but will be part of a research team focusing on sustainability in livestock systems.

The successful candidate will also work closely with the research team within a 4-year project (LIVESTOCK), including researchers from NMBU, Østfoldforskning, Norwegian Institute of Bioeconomy (NIBIO), in addition to partners and collaborators from the industry.

In this PhD project, the sustainability of livestock production will be approached in a holistic way by using life cycle assessment (LCA), with a focus on the farm production system and on the effect of breeding strategies. It is expected that the successful candidate spends some of her/his study time at the University of Aarhus at the Department of Agroecology – Agricultural Systems and Sustainability.

The scholarship is funded by NMBU.

Main tasks

The main tasks will be to develop LCA models of ruminant livestock systems with different perspectives and to document the sustainability of the breeding goals for dairy cattle.

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, and is expected to complete a doctorate within the PhD scholarship period.

Husdyr kalv ku amming

Qualifications and skills

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 Norwegian degree programme, where 120 credits are at the master’s degree level. 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 also document expertise and interest in the research.

Required academic qualifications

  • Master’s degree in Animal Science. Other master’s degrees (or equivalent) with relevant profile can be considered.

Desired academic qualifications

  • Experience with research within animal breeding
  • Experience with research within system analysis, like for instance LCA

Required personal skills

  • Good writing skills in English
  • Highly motivated for research
  • Good abilities to cooperate and communicate
  • Ability for analytical and logical thinking

Remuneration and information

The position is placed in government pay scale position code 1017 PhD fellow, wage framework 20. PhD fellows are normally placed in pay grade 51 (NOK 449 400) 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 Hanne Fjerdingby Olsen (post doc – tenure track) by e-mail: hanne.fjerdingby@nmbu.no; or by phone +47 67 23 27 23

Information for PhD applicants and general information to applicants

Kuer bredde

Application

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.

Applications should include (electronically) a letter of intent, curriculum vitae, list of publications (if any), copy of Master thesis, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline.

Application deadline: May 15th 2019

Printed material that cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Department of Animal and Aquacultural Sciences, P.O. Box 5003, NO-1432 Ås, within May 15th 2019. Please quote reference number 19/01977.

If it is difficult to judge the applicant’s contribution to publications with multiple authors, a short description of the applicant’s contribution must be included.

The relevant NMBU Department may require further documentation, e.g. proof of English proficiency.

About BIOVIT

The main objective of BIOVIT is to contribute to the development of sustainable agriculture and food production systems through basic and applied research on plants and animals including fish (aquaculture).

BIOVIT is organized into two departments: Department of Animal and Aquacultural Sciences and Department of Plant Sciences. Department of Animal and Aquacultural Sciences provides fundamental, innovative research and practical solutions to improve productivity and sustainability across the agriculture and aquaculture sector. It represents the sciences for the future within the animal husbandry fields of breeding, nutrition and ethology.

Research is organized in the following groups: Breeding and Quantitative Genetics, Ethology and Animal Environment, Nutrition and Physiology in Monogastric Animals, Ruminant Nutrition and Physiology, Genome Biology, Agroecology, Genetics and Plant Breeding, Plant Biology and Plant Biotechnology, Plant Protection and Food Crops.

The faculty houses the Centre for Integrative Genetics (CIGENE) and a research centre for Research-based Innovation (SFI) – Foods of Norway. The faculty is responsible for bachelor- and master programmes in Biology, Animal Science and Plant Sciences, and international master programmes in Agroecology, Plant Sciences, Aquaculture, Animal Breeding Genetics and Feed Manufacturing Technology. PhD programmes include Animal Science and Aquaculture, and Plant Sciences.

BIOVIT employs approximately 240 scientists, technicians, and administrative personnel. Around 480 bachelor and master students and 90 PhD students are enrolled in educational programmes within the faculty, offering a stimulating and supportive learning environment.

Bygning Urbygningen med blomster foran

The Norwegian University of Life Sciences (NMBU)

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås.

Further information on NMBU is available at www.nmbu.no

Apply for this job

Read the job description at the university homepage

Deadline

15.05.2019

Post expires on Wednesday May 15th, 2019

PhD scholarship within machine-learning and computational design of thermoelectric materials

About the position

The Faculty of Science and Technology (REALTEK) at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD– position related to machine-learning and computational design of thermoelectric materials.

A three-year PhD scholarship on computational design of thermoelectric materials is vacant in the material theory group of Assoc. Prof. Kristian Berland.

The project will combine high-throughput density functional theory calculations with machine-learning methods to accelerate the design and assessment of thermoelectric materials.

The project is part of a strategic initiative to link research activity at the REALTEK faculty with the strong and growing data science environment and Assoc. Prof. O. Tomic will provide guidance on machine learning methods.

Thermoelectric materials have the ability to transform waste heat directly into electricity and therefore have significant potential to contribute to lowering the global greenhouse gas emissions. They are also widely used in many niche applications, such as in powering medical devices. Further progress, however, hinges on finding materials with higher thermoelectric efficiency, which does not rely on rare or toxic elements. This motivates computer-assisted design combining density functional theory calculations with machine learning methods.

The student will benefit from co-supervision by Prof O.M Løvvik at SINTEF/University of Oslo. The project will also involve a collaboration with the group of Prof. G. Madsen group in TU Wien with possibilities for an extended research visit in the Madsen group. 

Main tasks

  • Implementation of computational methodology to evaluate thermoelectric properties
  • Theoretical analysis of material properties
  • High-throughput density functional theory calculations
  • Use of machine learning techniques

The specific tasks will be adapted to some extent to the background and interests of the student.

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.

Matematikk

Qualifications and skills

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 Norwegian degree programme, where 120 credits are at master’s degree level (candidates submitting MSc thesis by 15 August 2019 may also be considered). 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 degree in physics, chemistry, material science or related disciplines
  • Candidates with a master degree in computer/data science can also be eligible with sufficient background in the physical sciences. 

Desired academic qualifications

  • Strong written and oral communication skills in English
  • Familiarity with Python or related scripting languages
  • Experience on material modeling and/or theoretical condensed matter physics is an advantage
  • Experience using density functional theory, in particular plane-waves codes such as VASP, is a definite advantage.
  • Familiarity with transport calculations
  • Good programming skills or familiarity with machine learning is also a plus.

Desired personal skills

  • Eagerness to learn
  • Dedicated and quality-oriented
  • Strong analytical skills

Remuneration and information

The position is placed in government pay scale position code 1017 PhD Fellow, wage framework 20, salary grade 51 (equivalent currently to NOK 449 400) and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Associate professor Kristian Berland by e-mail: kristian.berland@nmbu.no; or by phone +47 45679296.

Information to applicants

Vårblomster krokus narrow kortere

Application

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.

Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline.

Application deadline: May 31st 2019

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within May 31st 2019. Please quote reference number 19/01927.

If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution should be included.

The relevant NMBU department may require further documentation, e.g. proof of English proficiency.

About REALTEK

The Faculty of Science and Technology (REALTEK) has 130 employees, about 1,100 students and about 70 PhD students. The Faculty offers bachelor, master and doctoral degrees in natural sciences and engineering in the fields of environmental physics and renewable energy, building and architecture, water and environmental technology, machine-, process and product development, robotics geomatics, data science and educational sciences. The workplace is in Ås, 30 km from Oslo.

Fakultet for realfag og teknologi

The Norwegian University of Life Sciences

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås.

Further information on NMBU is available at www.nmbu.no

Apply for this job

Read the job description at the university homepage

Deadline

31.05.2019

Post expires on Friday May 31st, 2019

PhD within Optimization of spectral measurement methods for photovoltaic systems

About the position

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3 year PhD–position related to Optimization of spectral measurement methods for photovoltaic systems.

The PhD study is focused on laboratory studies of the physical properties of solar cells with spectral methods as well as field studies of solar cell response in operation. The position is assigned to the Energy Physics research group.

Main tasks

PhD scholarship within Optimization of spectral measurement methods for photovoltaic systems. The PhD study is focused on laboratory studies of the physical properties of solar cells with spectral methods as well as field studies of solar cell response in operation. The position is assigned to the Energy Physics research group.

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.

Solpanel

Academic qualifications

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 Norwegian degree programme, where 120 credits are at master’s degree level (candidates submitting MSc thesis by 15 August 2019 may also be considered). 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 in physics

Required personal skills

  • Ability for independent work displaying creativity  and reflective thinking
  • Analytical and academic approach to research questions
  • Good collaborative/social skills
  • Proficiency in English, both written and spoken (please see English language  requirements in PhD regulations at NMBU)

Remuneration and information

The position is placed in government pay scale position code 1017 PhD. Fellow, wage framework 20, salary grade 51 (equivalent to NOK 449 400 at present) and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Professor Espen Olsen,  E-mail: espen.olsen@nmbu.no 

Information for PhD applicants and general Information to applicants

Matematikk

Application

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: 31.05.2019

Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline. The relevant NMBU Department may require further documentation, e.g. proof of English proficiency.

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 19.05.2019. Please quote reference number 19/01936.

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.

About REALTEK

The Faculty of Science and Technology has 130 employees, about 1,100 students and about 60 PhD students. The Faculty offers bachelor, master and doctoral degrees in natural sciences and engineering in the fields of environmental physics and renewable energy, building and architecture, water and environmental technology, machine-, process and product development, robotics geomatics, data science and educational sciences. The workplace is in Ås, 30 km from Oslo.
 

Fakultet for realfag og teknologi

The Norwegian University of Life Sciences

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås. Further information on NMBU is available at www.nmbu.no

Apply for this job

Read the job description at the university homepage

Deadline

31.05.2019

Post expires on Friday May 31st, 2019

PhD scholarship within data science on health and healthcare data

About the position

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3 year PhD–position related to development, implementation and application of data analytical methods.

Title: “Exploring modern data analysis tools for application on health and healthcare data”.

Increasing amounts of health and healthcare data from treatment of animals and humans call for exploration using modern data analysis tools to provide new insight and improve treatment of patients.

The project will improve existing data analysis approaches using state-of-the-art multiblock methods as well as machine learning and deep learning methods applied to a broad spectre of health and health care data, such as medical images, multivariate time series measured on animals and electronic health record data from patient registries.

Relevant areas of research and application include:

  • Analysis of medical images to support treatment decisions
  • Analysis of longitudinal animal health data
  • Analysis of patient registry data for quality measurement of healthcare services

Main tasks

Tasks will be adapted to the candidate’s skills/interests and the current problems available for study.

Typical examples include:

  • Develop, implement and apply innovative data analytical methods for application on health and healthcare data.
  • Refine existing multivariate methods to improve numerical stability and computational speed.
  • Efficient inclusion of background or prior knowledge in constrained model selection and validation
  • Modification of existing data analysis methodology for more efficient processing of health and healthcare data.

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.

Administrasjonsbilde

Academic qualifications

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 Norwegian degree programme, where 120 credits are at master’s degree level (candidates submitting a MSc thesis by 31 August 2019 may also be considered). 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 degree in one of the following)

  • Data science / machine learning
  • Applied statistics / statistical learning
  • Applied mathematics

Desired Academic qualifications

  • Excellent programming skills
  • Applied- and/or Numerical Linear Algebra
  • Mathematical optimisation
  • Signal processing including Image Analysis

Required personal skills

  • Self-motivated
  • Curious and co-operative
  • Fluent in English (both written and orally)

Remuneration and information

The position is placed in government pay scale position code 1017 PhD. Fellow, wage framework 20, salary grade 51 (equivalent to NOK 449 400 at present) and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Dr. Oliver Tomic, Associate Professor of Data Science, e-mail: oliver.tomic@nmbu.no; phone +47 6723 1607

Information for PhD applicants and general Information to applicants

Matematikk

Application

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: 31.05.2019

Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline. The relevant NMBU Department may require further documentation, e.g. proof of English proficiency.

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 31.05.2019. Please quote reference number 19/01965

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.

About REALTEK

The Faculty of Science and Technology has 130 employees, about 1,100 students and about 60 PhD students. The Faculty offers bachelor, master and doctoral degrees in natural sciences and engineering in the fields of environmental physics and renewable energy, building and architecture, water and environmental technology, machine-, process and product development, robotics geomatics, data science and educational sciences. The workplace is in Ås, 30 km from Oslo.
 

Fakultet for realfag og teknologi

The Norwegian University of Life Sciences

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås. Further information on NMBU is available at www.nmbu.no

Apply for this job

Read the job description at the university homepage

Deadline

31.05.2019

Post expires on Friday May 31st, 2019

PhD scholarship within Data Science and Computational Neuroscience

About the position

 The Faculty of Science and Technology (REALTEK) at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to Data Science and Computational Neuroscience.

Despite decades of intense research efforts investigating the brain at the molecular, cell, circuit and system levels, the operating principles of the human brain, or any brain, remain largely unknown. Likewise, effective treatments for prevalent serious psychiatric disorders and dementia are still lacking.

In broad terms we now have a fairly good understanding of how individual nerve cells operate and process information, but the behavior of networks of such cells is poorly understood. Unless we understand these networks our understanding of brain function, and likely also ability to treat major brain diseases, will have to be limited.

The Computational Neuroscience group at REALTEK has long experience with modelling nerve cell activity, and is e.g. part of the large EU ICT Flagship ‘Human Brain Project’ and involved in ‘Digital Life Norway’.  

 The successful applicant will work on the 3-year project “MetaBrain: Metamodelling of electrical signals from the brain”, funded by NMBU. The main purpose of the project is to apply and develop computational models of electrical signals from the brain.

You will investigate how to best apply powerful metamodelling methods co-developed by the Data Science group to efficiently predict electrical signals in the brain such as EEG, which can currently only be modelled using computationally demanding methods developed by the Computational Neuroscience group.

Using these metamodels, which are data-driven approximation models/surrogate models for the more computationally demanding (differential equation-based) models, will allow the dependence of brain dynamics on properties of the underlying nerve cell and network models to be revealed.

Main tasks

The main activities will be related to the following topics:

  • Metamodelling
  • Multivariate data analysis and machine learning
  • Computational modelling of brain signals (at both cell and network level)
  • Scientific software development
  • Dissemination of research results

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.

Matematikk

Qualifications and skills

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 Norwegian degree programme, where 120 credits are at master’s degree level (candidates submitting MSc thesis by August 15th 2019 may also be considered). 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

  • A Master degree in Data Science, Statistics, Applied Mathematics, Physics or similar, with very good results
  • Proficiency in Data Science (multivariate analysis, machine learning and mathematical modelling
  • Programming skills in Python

Desired academic qualifications

  • Experience from data analysis within Life Sciences
  • Experience from Computational Neuroscience

Required personal skills

  • Excellent spoken and written English
  • Result-oriented and highly motivated
  • High work capacity
  • Ability to collaborate
  • Strong communication and cooperation skills

Desired personal skills

  • Ability to work independently under varying conditions
  • Ability to disseminate research results

Remuneration and information

The position is placed in government pay scale position code 1017 PhD Fellow, wage framework 20, salary grade 51 (equivalent currently to NOK 449 400) and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Professor Kristin Tøndel by e-mail: kristin.tondel@nmbu.no

Information to applicants

Vårblomster krokus narrow kortere

Application

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.

Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline.

Application deadline: May 31st 2019

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within May 31st 2019. Please quote reference number 19/01880

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 relevant NMBU department may require further documentation, e.g. proof of English proficiency.

About REALTEK

The Faculty of Science and Technology (REALTEK) has 130 employees, about 1,100 students and about 60 PhD students. The Faculty offers bachelor, master and doctoral degrees in natural sciences and engineering in the fields of environmental physics and renewable energy, building and architecture, water and environmental technology, machine-, process and product development, robotics geomatics, data science and educational sciences. The workplace is in Ås, 30 km from Oslo.

Fakultet for realfag og teknologi

The Norwegian University of Life Sciences

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås.

Further information on NMBU is available at www.nmbu.no

Apply for this job

Read the job description at the university homepage

Deadline

31.05.2019

Post expires on Friday May 31st, 2019

PhD scholarship in animal behaviour and stress physiology

About the position

The Department of Food Safety and Infection Biology, Faculty of Veterinary Medicine at the Norwegian University of Life Sciences (NMBU) has a vacant three year PhD-position related to stress physiology and behaviour in poultry. The candidate is expected to start in October 2019.

The project ‘Variations in stress responsivity in hens: matching birds to environments’ (ChickenStress) is a part of the larger MSCA-ETN project with the same title. The ChickenStress consortium aims to understand how the stress response is regulated in the avian brain and to minimize chronic stress by investigating the three main contributors to variation in the stress response:

  • genetic variability
  • early-life environment
  • current environment

By understanding the impacts of these factors, we will be able to produce more stress resilient birds in higher welfare housing conditions, and thereby enhance animal welfare and productivity.

Within ChickenStress, 14 PhD students will be recruited and trained to be in the forefront of research on avian stress physiology and help solve the challenges to animal welfare and productivity faced by the egg industry. The PhD project at NMBU will last for three years and be funded by Horizon 2020 and NMBU.

More details about the consortium can be found at  http://www.ncl.ac.uk/cbe/chickenstress. Please note that applications for the PhD position at NMBU must be placed through JobbNorge (www.jobbnorge.no) whereas some of the other PhD positions in the consortium may be applied for through the ChickenStress webpage.

The stress response is a conserved trait of vertebrate physiology and is similar from fish to mammals. Animals modify their stress response within their defined genetic capacity based on information gained from a variety of sources. Animals are especially sensitive to such information during early development, thereby configuring the brain to respond in a particular way to stressors later in life. As part of the ChickenStress project that is investigating the factors that can make hens more or less resilient to stress, this proposed PhD project will investigate how the degree of complexity of the early rearing environment influences stress responsiveness and cognition and relate this to the level of neurogenesis.

This project is ideal for a candidate with an MSc level of training in physiology, ethology, psychology, veterinary medicine, animal science, or neuroscience. The work will include intervention experiments in order to understand the effects of the early environment, behavioural testing, physiological sample collection, sample preparation and analysis.

You will be employed by the Norwegian University of Life Science (NMBU) and register in the PhD program at NMBU. You will spend four months at Newcastle University (UNEW) to learn how to quantify adult neurogenesis in the avian hippocampus, and two months in the Cumbria district in the UK at the Lakes Free Range Egg Company to be trained in the business of free-range egg production.

Main tasks

The main aim of this project is to investigate the effect of early life experience on stress responsivity and cognitive functioning later in life in lying hens. Main tasks include

  • Controlled animal experiments
  • Laboratory analysis of different tissues
  • Behavioural testing

The successful candidate is expected to apply for admittance to the PhD program during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

Kyllinger

Acdemic Qualifications

In order to fulfil the requirements set down in the MSCA-ETN guidelines, the successful applicant must 

  • be within the first four years (full-time equivalent research experience) of her/his research career and not have a doctoral degree.
  • not have resided or carried out her/his main activity (e.g. work, studies) in the country where she/he have been recruited (ie Norway for the advertised position) for more than 12 months in the 3 years immediately before the recruitment date.

The successful applicant must also 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 Norwegian degree programme, where 120 credits are at master’s degree level. 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 applicants from countries where English is not the primary language such certificates should be uploaded immediately. 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

  • Candidates should have an MSc level degree within ethology, physiology, or other relevant fields within the biological sciences.
  • The candidate must fulfil the requirements listed in the PhD Regulations and MSCA-ETN regulations
  • The candidate must document good results from previous education.
  • The candidate must possess good communication skills in written and oral English

Desired Academic qualifications and experience

  • Experience in designing experiments, analysing data, presenting results
  • Experience working with animals, ideally chickens
  • Experience in methods related to stress physiology
  • Experience with ethology
  • Experience of techniques used in neuroscience
  • Knowledge of avian behavior and neuroanatomy
  • Knowledge of the egg industry
  • An interest in animal welfare
  • An interest in the egg industry

Required personal skills

  • The candidate must be able to work both in a team and independently
  • The candidate must be interested and enthusiastic about scientific work and the scientific method

Desired personal skills

  • Ability rapidly to acquire new skills

Remuneration and information

The position is placed in government pay scale position code 1017 PhD. Fellow. PhD. Fellows are normally placed in pay grade 51 (NOK 449 400) 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 Associate Professor Janicke Nordgreen 

E-mail: Janicke.nordgreen@nmbu.no; phone +47 67232170

Information for PhD applicants and general Information to applicants

Veterinærer

Application

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: 15.05.2019

Applications should include (electronically) a letter of intent, curriculum vitae, full publication list, copies of degree certificates and transcripts of academic records (all certified), and a list of two persons who may act as references (with phone numbers and e-mail addresses). Publications should be included electronically within the application deadline. The relevant NMBU Department may require further documentation, e.g. proof of English proficiency.

Printed material which cannot be sent electronically should be sent by surface mail to NMBU Veterinærhøgskolen Postboks 369 sentrum, 0102 Oslo, Norway, within 30.05.2019. Please quote reference number 19/01776.

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.

About the Faculty of Veterinary Medicine

The Faculty of Veterinary Medicine at NMBU is the country’s only veterinary professional education and provide expertise in veterinary medicine and veterinary public health. The Faculty educates veterinarians, animal nurses and doctoral students in Veterinary Science and researches in veterinary medicine and related biomedical fields. We have 500 students and 430 employees.

The faculty consists of the departments Basal and Aquamedicine, Food Safety and Infection Biology, Production Animal Medicine and Sports and Family Animal Medicine. We also run the University Animal Hospital, which is closely linked to our research and education, and receives patients from all over the country.

The Department of F FetTastatursnarvei Ctrl+Bood Safety and Infection Biology consists of three sections with more than 80 employees: section for Pharmacology and Toxicology, Section for Food Safety, and Section for Microbiology, Immunology and Parasitology. 

The Department is responsible for providing research-based teaching of veterinary and veterinary nurse students, and for conducting research on a high international level within food safety and animal health. In addition, the department provides services for public and private organisations.

NMBU Veterinary College is today located at Campus Adamstuen in Oslo. In August, 2020, we move into new beautiful premises at Campus Ås.

NMBU Veterinærhøgskolen

The Norwegian University of Life Sciences (NMBU)

NMBU has a special responsibility for research and education that ensures the basis of life for future generations.

Sustainability is rooted in everything we do and we provide knowledge for life.

NMBU has 1700 employees and 5200 students and is organized in seven faculties. NMBU has a campus in Ås and in Oslo. In the autumn of 2020 we are co-located on Ås. Further information on NMBU is available at www.nmbu.no

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Deadlin

15.05.2019

Post expires on Wednesday May 15th, 2019