Utløpt

Senior Researcher in AI for Medicine

Arbeidsgiver: Oslo universitetssykehus HF
Stillingstittel: Senior Researcher in AI for Medicine
Frist: 01.12.2019
Ansettelsesform: Fast

Signals and images are often data representations of physical events, usually based onsensor and measurement data, such as medical signals and images like MRI, CT,ultrasound, ECG, and biological data.

Signal and image processing methods concern the analysis, synthesis and modification ofinformation carrying. The connection between the data and what they representis thus central within the discipline.
Machine learning is tightly connected to Statistical learning including deep learning methods, and concerns methods for designingsystems for e.g. classification and regression, where the systems learn fromdata. Data processing and statistical machine learning have for a long timebeen partially overlapping disciplines, and machine learning methods constitutean increasingly important area of processing. In order to strengthen theprofile of the Section for Medical ICT towards machine learning and to enableopportunities for opening new application areas, a position targeting machinelearning for analysis, classification, prediction and data mining of (largeamounts of) multi-dimensional data, typically measurements in time and/or spacewill be established.

The successful candidate is expected, together with existing researchers, to jointly develop a world-class research communitywithin machine learning for medical applications.

The position announced here will be affiliated With the Intervention Centre, Oslo University Hospital.

Arbeidsoppgaver

Senior researcher is expected to play a leading role in research and development in machine learning in cooperation with existing staff at the Centre. The successful candidate is also expected to establish collaboration with relevant colleagues at other departments at the hospital, University of Oslo (UiO) and/or Norwegian University of Science and Technology (NTNU).

The focus area of this position is towards machine learning applied to analysis, classification, prediction and data mining of (large amounts of) multi-dimensional data, typically measurements in time and/or space. Examples comprise medical data like MRI, CT, ultrasound, capsule endoscopic video, laparoscopic video, EEG, ECG, position data, etc. Application areas include detection of anomaly (polyp, tumor), prediction, extraction of "hidden" information, image classification, analysis, decision support systems and the interplay between machine learning and existing mathematical models of physical systems and phenomena. The successful candidate will need to have experience and knowledge at a high international level within machine learning and its utilization in relevant application areas preferably in clinical medicine.
Research activities are expected to have a strong international profile and impact, with a long-term perspective and to be concentrated around fundamental and applied research challenges and development of new enabling technologies.

The research activities at the Centre rely mainly on external funding. The successful applicant is expected to engage extensively in applications for external research funding, e.g. from the Research Council of Norway, European research, Health South East Trust, the industry sector, and other available sources.

In addition to research and education, the researcher is expected to disseminate relevant parts of the research to a wider audience.

The researcher is also expected to participate in the formal management of research and development and other relevant areas of activity in agreement with the head of section for medical ICT.

Kvalifikasjoner

The applicant is required to have a doctoral degree or equivalent in a relevant area and demonstrate professional qualifications in essential areas of machine learning as defined in the job description, with profound scientific competence within one or more of these areas.

For the position, the applicant with international experience and a strong publication record in terms of papers in peer-reviewed journals and other relevant international publication channels including patents is preferred. The applicant should document the ability to obtain external research grants from relevant funding sources, be internationally recognized and be able to initiate and lead research at a high international level.

For the position, the applicant with supervision experience of students (MSc, PhD) or similar experience qualifying for such work is a plus.

The applicant should demonstrate communicative skills that qualify for excellent communication, dissemination and exploitation, and have good collaboration skills necessary for joint interdisciplinary projects.

Industrial experience and relevant collaboration with industry will be considered as highly beneficial.

Personlige egenskaper

We are looking for an oustanding applicant who is innovative, eager to learn new skills, communicative, Cooperative and social.
The application should contain:

CV including information relevant for the qualifications and a full list of publications with bibliographical references

Diplomas and references

The most important publications that are relevant for the evaluation of the applicant's qualifications (maximum 10 publications)

A brief description of the scientific/technological relevance of the candidate's research

Research proposal for the first five years of employment (maximum 10 pages)

Information about dissemination activities

Other documents which the applicant would find relevant
Joint works will also be evaluated. If it is difficult to identify the contributions from individuals in a scientific collaboration, applicants are to enclose a short summary of her/his contribution.
Proficiency in the English language must be documented. Proficiency in a Scandinavian language will be rated positively. New members who do not master a Scandinavian language are expected to achieve proficiency in Norwegian within three years of employment
Following the application deadline, a shortlist of applicants will be drawn up, and all applicants will be informed whether they are placed on the shortlist. Shortlisted applicants will be evaluated by an expert committee. The top candidates from this evaluation will be invited for interviews. The evaluation will take into account not only the accumulated academic production but also the applicant's potential for scientific development and personal qualities.

Vi tilbyr

The Section for Medical ICT Research (http://www.balasingham.com) at the Intervention Centre (http://www.ivs.no) is an internationally known Research and Development Lab working in wireless communication technology for implants, nanoscale and molecular Communications, and sensor informatics (machine laerning/AI for medical data). The recruited candidate will be given oppotunity to develop his/her research group and an adjunct faculty position either at the University of Oslo or NTNU in Trondheim.

The salary and terms at the Oslo University Hospital, Rikshospitalet are in accordance with the Norwegian state regulations. The position is normally remunerated with gross salary from NOK 700 000 to NOK 1 200 000 a year depending on qualifications and relevant work experiences. 2% of the salary will be deducted as an obligatory premium to the Norwegian Public Service Pension Fund.

Full salary during illness and five weeks paid holidays are according to the state regulations

Om arbeidsgiveren

Oslo University Hospital is a highly specialized hospital in charge of extensive regional and local hospital assignments. As Scandinavia's largest hospital, we carry out more than 1.2 million patient treatments each year. The hospital has a nationwide responsibility for a number of national and multi-regional assignments, and has several national centers of competence. Oslo University Hospital is responsible for approximately 50 percent of all medical and health care research conducted at Norwegian hospitals, and is a significant role player within the education of a large variety of health care personnel.

Oslo University Hospital is a highly specialised hospital in charge of extensive regional and local hospital assignments and the provision of high quality services for the citizens of Oslo. The hospital also has a nationwide responsibility for a number of national and multi-regional assignments and has several national centres of competence. The hospital is Scandinavia's largest and we each year carry out more than 1.2 million patient treatments. Oslo University Hospital is responsible for approximately 50 percent of all medical and healthcare research conducted at Norwegian hospitals and is a significant role player within the education of a large variety of health care personnel. We are an emergency hospital for East and Southern Norway and have national emergency assignments. The hospital has a total budget of NOK 17 billion. More than 20,000 employees are engaged with activities at more than 40 different locations.

The University of Oslo is Norway's oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. The Faculty of Medicine was established in 1814 and is the oldest medical faculty in Norway. The Faculty is organized into three basic units and has approximately 1,500 employees and about 2000 students. The Institute of Clinical Medicine (Klinmed) is one of three institutes under the Faculty. Klinmed is responsible for the Faculty's educational and research activities at Oslo University Hospital and Akershus University Hospital. With about 800 employees spread over approximately 425 man-labour years, Klinmed is the university's largest institute.

Sektor: Offentlig
Lederkategori: Fagleder
Sted: Sognsvannsveien 20, 0372 Oslo
Stillingsfunksjon: IT utvikling / Utvikler (generell)