PhD Position Within Digital Pathology and Artificial Intelligence
About the position
The research team is cross-disciplinary and is a collaboration between NTNU, St. Olav’s Hospital and SINTEF.
The PhD fellow will study and further develop the use of machine learning techniques (such as deep learning) for automatic assessment of breast cancer tissue sections (digitized whole slide images). The main goal is to improve prognostic differentiation in breast cancer. The studies may also provide a deeper understanding of the pathology of the disease. The basis of the project will be digitized whole slide images, software developed at SINTEF, and available open source tools in the field.
This position is a fixed term, full time (100 %) position for three years starting in autumn/winter 2019.
The position offers challenging and varied tasks in an environment characterised by active, committed and skilled researchers.
- Study the use of machine learning techniques and develop new algorithms and workflows to improve prognostic differentiation in breast cancer based on digitized whole slide images. This will include data management, image analysis, programming, validation and testing in collaboration with other team members
- Work in a cross-disciplinary team including clinical and technological faculty and researchers, lab technicians and medical/engineering students
- Write scientific journal articles and present the results at scientific conferences and in popular media
- Fulfil the requirements for the degree of PhD at NTNU within the specified time period
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, postdoctor and research assistant
- A master’s degree or equivalent education within computer science and/or medical technology or similar
- Knowledge and experience in programming (C++, Python and similar) and machine learning techniques
- Proficiency in oral and written English
Emphasis will also be placed on:
- Interest in medical image analysis
- A strong interest in medical research
- Ability to work independently
- Ability to work in a cross-disciplinary team
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation and personal aptitude, in terms of the qualification requirements specified in the advertisement
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years. Appointment to a PhD position requires admission to the PhD program. A condition of appointment is that you are in fact qualified for admission to the PhD programme within three months.
As a PhD candidate, you undertake to participate in an organized PhD programme during the employment period. A condition of appointment is that you are in fact qualified for admission to the PhD programme within three months.
Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.
For further information about the position:
Questions about the position can be directed to Associate Professor Marit Valla, e-mail: email@example.com, phone number: 00 47 40 45 34 04 and/or Senior research scientist Ingerid Reinertsen, e-mail: firstname.lastname@example.org phone number: 00 47 90 21 21 59.
For enquires regarding the application procedure: HR Consultant Nina Sandberg, email: email@example.com
About the application:
Publications and other academic works that the applicant would like to be considered in the evaluation must accompany the application. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief description of his or her contribution.
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applicants invited for interview must include certified copies of transcripts and reference letters.
Application deadline: 15.04.2019
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Employer NTNU - Norwegian University of Science and Technology
Place of service Øya, Trondheim