Ledig stilling ved NMBU

PhD scholarship within data analysis of hyperspectral images

Deadline: 22.05.2019

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 analysis of hyperspectral images.

The PhD–position is funded by the NFR FriNaTek project DeepHyperSpec ‘Combining spectral and image information in the analysis of hyperspectral imaging data’.

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.

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, Data Science, Building and Architecture, Water and Environmental Technology, Machine-, Process and Product Development, Geomatics and Educational Sciences.


The workplace is in Ås, 30 km from Oslo.

DeepHyperSpec will combining deep learning methods with multivariate modelling of scattering and absorption in biomedical vibrational spectroscopy in order to develop a new paradigm for the analysis of hyperspectral imaging data.

The project results will enhance the understanding of how scatter, morphological and chemical information in infrared microspectroscopic imaging can be used in medicine, such as cancer diagnosis.

The PhD project will develop new approaches for combining spectral and image information in infrared imaging data in order to improve classification models and enhance the understanding of the biochemical rationale of spectral classification.

Project and supervisor group: Prof. Achim Kohler, Dr. Valeria Tafintseva, Prof. Kristin Tøndel, Assoc. Prof. Kristian Liland at the Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.

Main tasks

  • Develop data analysis methods for combining spectral and image information for the analysis of hyperspectral images.

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.

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 May 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 or data science
  • Fluent English both written and oral
  • Programming skills, preferably in Matlab
  • Expertise in multivariate data analysis/data science

Desired academic qualifications (in prioritized order)

  • Insight in the electromagnetic theory of scattering and absorption
  • Experience with infrared spectroscopy or infrared imaging

Required personal skills

The candidate has to able to work both independently and in a multidisciplinary research team and needs to describe these skills in the application.

Desired personal skills

The candidate must be motivated for collaboration and show responsibility for the progress of the work.

Remuneration and information

The position is placed in government pay scale position code 1017 PhD. Fellow, wage framework 20, salary grade 51 (NOK 449 400 per year) on the Norwegian Government salary scale upon employment 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:

Information for PhD applicants and general Information to applicants

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 22nd 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 22.05.2019. Please quote reference number 19/02247

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.

Apply for position