Stillingstittel: PhD Research Fellowship in Digital Image Analysis

Stillingsbeskrivelse:
The University of Oslo is Norway’s largest 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.PhD Research Fellowship in Digital Image Analysis

A position as PhD Research fellow is available at the Department of Informatics. The fellowship will be for a period of 3 years. Starting date preferably no later than 01.09.2016. No one can be appointed for more than one fixed-term period at the same institution.

Project description

Do you want to participate in shaping the future of medical ultrasound imaging?

The fellowship will be working within a new project called INCUS (INtelligent Cardiovascular Ultrasound Scanner). The vision of this project is to make a system that is capable of assisting the user to increased productivity and accelerated decision making. This will be achieved by introducing intelligent algorithms in the scanner that can exploit knowledge from expert users and previously acquired data and learn from this. We will build on recent research in machine learning that has led to a set of approaches referred to as Deep Learning. Deep Learning has boosted the performance substantially for many applications like speech recognition and image classification. The ambition is to offer a new ultrasound scanner providing increased diagnostic confidence as well as significantly enhanced productivity compared to ultrasound scanners that exist on the market today.

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 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 computer science, image processing, signal processing or mathematics. Good knowledge in medical ultrasound imaging is preferable. Good knowledge in programming is also preferable.

Candidates without a Master's degree have until 30 June, 2016 to complete the final exam.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires 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:

Organized research training: PhD

Doctoral degree: PhD in Mathematics and Natural Sciences

A good command of English is required.

Salary:

Position code 1017, Pay grade: 50 - 57 (NOK 430 500 – 483 700 per year)

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
• Documentation of English proficiency
• 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 wit

Minstelønn: 0

Maksimal lønn: 0

Arbeidsgiver Navn: Universitetet i Oslo, Department of info

Arbeidsgiver adresse: 0313 OSLO

Job kort beskrivelse: University and higher education teachers

Land: Norge

Region: Oslo

Kilde til jobbtilbud: NAV, Offentlige arbeidsformidlinger, Norge

Lønn valuta: NOK

Lønn periode: Pr. år