Exploring modern data analysis tools for application 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.

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, 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.

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.

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

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.

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