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 Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences at the University of Oslo. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. The Department has near 950 students on bachelor level, near 450 master students, and over 180 PhD students. The overall staff of the Department is close to 250 employees, about 200 of these are full time positions. The full time scientific staff is 60, mostly Full/Associate Professors.
PhD Research Fellowship in Medical Robotics for Ultrasound Guided Therapy
A position as PhD Research Fellow is available at The Department of Informatics.
The fellowship is for a period of 4 years. Starting date no later than 01.01.2018.
Do you want to participate in developing new methods for ultrasound guided therapy and robotics?
Do you want to see your research results become a part of commercial products and available to patients world-wide?
The fellowship will be working within an innovation cluster called INIUS (INtelligent Interventional Ultrasound Scanner). The vision of this project is to make an intelligent system for guiding complex cardiac interventions. New technologies continue to be developed to perform advanced surgery minimally invasively. This project will develop new algorithms to provide the interventional cardiologist with decision support and automation through advanced visualization and autonomous robotics using visual servoing based on input from the ultrasound images.
The PhD fellow will base the research on a semi-autonomous robot system with force feedback holding an ultrasound probe which will be combined with a visual servoing system that can act on vision input from the Ultrasound probe. This PhD project will develop novel algorithms that optimize the visual servoing system where both advanced robot control and image processing algorithms are integrated so that the system can adapt to changes in anatomy such as patient and targeted organ movements and specific anatomy. The PhD fellow in Medical Robotics will work closely together with two other PhD’s employed within the INIUS Innovation Cluster that will develop novel image processing methods to allow the ultrasound based visualization system to be aware of the anatomical context and provide intelligent peri-operative guidance. The research will leverage recent advances in machine learning to develop innovative solutions in this application area.
25% (one year) of the fellowship will be dedicated to innovation projects – meaning to bring research results towards commercial application. This may include working with industrial exploitation partners to integrate result into commercial products or entrepreneurial activities to build new business opportunities.
This PhD position is part of the INIUS innovation cluster, and will be affiliated with the research group ROBIN (Robotics and Intelligent systems).
Requirements and qualifications:
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and are expected to be in the upper segment of their class with respect to academic credentials.
Applicants must hold a Master’s degree or equivalent in robotics, cybernetics or Informatics with good knowledge within image processing, signal processing. Good knowledge in programming and mathematics is preferable.
For the PhD positions, the purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The PhD fellowships require admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
Position code 1017, NOK 436 900 - 490 900 per year, depending on qualifications and seniority.
The application must include:
- Application letter
- CV (summarizing education, positions and academic work - scientific publications)
- Copies of educational certificates, transcript of records and letters of recommendation
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.
In accordance with the University of Oslo’s equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.
UiO has an agreement for all employees, aiming to secure rights to research results.
For further information please contact:
Associate Professor Ole Jakob Elle, +47 91171790, firstname.lastname@example.org
Professor Eigil Samset, +47 92831484, email@example.com
Professor Anne H S Solberg, +47 22852435, firstname.lastname@example.org
For questions about the recruitment system, please contact HR Officer Helene Jansen, +47 22857196, email@example.com
- Søknadsfrist2. oktober 2017
- ArbeidsgiverUniversity of Oslo
- Intern-ID2017/10682 - 1017
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