Detaljer


Senior Researcher in AI for Medicine

Signals and images are often data representations of physical events, usually based on sensor 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 of information carrying. The connection between the data and what they represent is thus central within the discipline.
Machine learning is tightly connected to Statistical learning including deep learning methods, and concerns methods for designing systems for e.g. classification and regression, where the systems learn from data. Data processing and statistical machine learning have for a long time been partially overlapping disciplines, and machine learning methods constitute an increasingly important area of processing. In order to strengthen the profile of the Section for Medical ICT towards machine learning and to enable opportunities for opening new application areas, a position targeting machine learning for analysis, classification, prediction and data mining of (large amounts of) multi-dimensional data, typically measurements in time and/or space will be established.

The successful candidate is expected, together with existing researchers, to jointly develop a world-class research community within 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