LEDIG STILLING VED NMBU
PhD position within applied mathematics
Norwegian University of Life Sciences
NMBU has a particular responsibility for research and education that secures the basis for the life of future generations. Sustainability is rooted in everything we do and we deliver knowledge for life. NMBU has 1,800 employees of which about 250 phd scholarships and 6,000 students. The university is divided into seven faculties.
NMBU believes that a good working environment is characterised by diversity.
We encourage qualified candidates to apply regardless of gender, functional ability, cultural background or whether you have been outside the labour market for a period. If necessary, workplace adaptations will be made for persons with disabilities. More information about NMBU is available at www.nmbu.no.
About The Faculty of Science and Technology
The Faculty of Science and Technology (REALTEK) develops research-based knowledge and educates civil engineers and lecturers needed to reach the UN's sustainability goals. We have approximately 150 employees, 70 PhD students and soon 1500 students. The education and research at REALTEK cover a broad spectrum of disciplines.
This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as well as secondary school teacher education in natural sciences and use of natural resources such as in agriculture, forestry and aquaculture. The workplace is in Ås, 30 km from Oslo.
Do you want to study inverse problems with applications in medical imaging and machine learning?
About the position
The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to the project Problem-dependent regularization techniques. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.
In the project we seek a clearer understanding of inverse problems when the forward operator has a non-trivial nullspace, and in particular we will explore and analyze the potential of applying problem-dependent regularization in important applications of inverse problems involving EEG and ECG.
We will furthermore investigate the properties of the technique as a feature selection method in machine learning.
Your role in the project is to participate in further development of the theory of problem-dependent regularization techniques and to apply the methods in machine learning and in medical imaging problems involving real-world data.
- Contribute to the development of problem-dependent regularization techniques
- Write software to solve real-world problems involving such regularization techniques
- Assist in building a public repository so other scientists can apply the methods
- Write academic papers
- Present the work at international conferences
- Host exercise sessions in upper undergraduate courses
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.
In order to be appointed, the candidate must meet the requirements for admission to one of the PhD programs at NMBU. A master's degree of at least 120 credits (ECTS) is required, which is based on a bachelor's degree of at least 180 credits (ECTS), or cand.med.vet. degree, or integrated master's degree of at least 300 credits (ECTS). Candidates submitting MSs thesis by 30. September 2021 may be considered. The applicant must have a documented strong academic background from previous studies, and be able to document good English skills, both written and oral. For more detailed information on admission criteria, see the PhD Regulations and the “supplementary provisions for the PhD programmes”.
The applicant must document expertise and interest in the research subject.
Required Academic qualifications
- A master’s degree in mathematics
- Strong skills in scientific computing
- Completed courses in functional analysis and linear algebra at the master level
The following experiences and skills will be emphasized:
- Strong knowledge of (elliptic) PDEs and/or
- Experience with inverse problems
You need to have:
- Strong motivation
- Good collaboration skills
Remuneration and further information
The PhD position is placed in government pay scale position code 1017. PhD fellows are normally placed in pay grade 54 (NOK 491.200,-) (approx. 48.000 EUR/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:
- Assoc. Prof. Ole Løseth Elvetun, E-mail: [email protected]; phone +47 91771043
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: 30.09.2021
Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 30.09.2021. Please quote reference number 21/03976.
Applications should include:
- A cover letter
- Curriculum vitae
- Your master thesis
- Copies of degree certificates and transcripts of academic records (all certified)
- A list of two persons who may act as references (with phone numbers and e-mail addresses)
- Proof of English proficiency should also be attached