About the job
A three-year PhD position is available at the Department of Computer Science in Gjøvik.
The new Norwegian National health and hospital plan 2020-2023 (Nasjonal helse- og sykehusplan 2020-2023) states that state-of-the-art technology should be taken advantage of, and priorities should be taken to ensure sustainable and financially viable solutions fulfilling the core values of the Norwegian healthcare system. The plan emphasizes on the use of video communication and other state-of-the-art technologies to not only provide a better service to patients leading to earlier detection of diseases, earlier treatment, and recovery but also reducing the workload and financial costs in the medical sector.
To follow this long-term plan, pilot studies in Norway have focused on the use of live video communication between the paramedics and doctors at the hospital. Such a video communication in medical services between paramedics in the field and doctors at the hospital makes enhancing and optimizing the quality of the videos used in medical services and so video quality assessment which is required as a basis for video enhancement crucially important. In this project, to facilitate better pre-hospital decision support, we focus on the quality assessment and enhancement of video communication in medical services.
This PhD position is devoted to the development of a new framework to guarantee a high quality of visual information in video communications between the paramedics on the field and doctors in the hospital.
The main objectives of this work will be focused on the introduction of a new real-time optimization solution for efficient perceptual quality evaluation and enhancement of the delivered video stream. The solutions which most likely be based on using different deep learning and machine learning techniques must integrate the constraints and specificities related to the medical context and more particularly the decision support with the maximum of reliable and relevant visual information.
This PhD project is in line with the state-of-the-art research performed at the Norwegian Colour and Visual Computing Laboratory.
You will report to the Head of the Department.
Duties of the position
- Conduct a stand-alone research project on video quality assessment and enhancement.
- Participate in the general activities of the Colourlab.
- Participate in the general activities of the department.
- Interact with the partners in the projects and particularly paramedics ion the field and doctors in the hospital
- Complete a training component as part of the PhD of a minimum of 30 ECTS.
- Participate in international activities such as conference attendance and/or research stays at educational institutions abroad.
Required selection criteria
- You must have a professionally relevant background in image/video processing, computer vision, and/or machine learning.
- Good programming knowledge and experience, preferably in MATLAB or Python.
- Your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master’s level.
- You must have a strong academic background from your previous studies and an average grade from the master’s degree program, or equivalent education, which is equal to B or better compared with NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
- You must meet the requirements for admission to the faculty’s doctoral program .
- Good written and oral English.
The appointment is to be made in accordance with Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria
- Prior knowledge or experience in one or more of the following: image/video quality assessment/enhancement, image/video processing, human visual system, subjective experiments and or machine learning.
- Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving.
- Knowledge of Norwegian language is encouraged.
- Well organized
- Team player
- Motivated to contribute to an inclusive work environment
- 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
As a PhD candidate (code 1017) you are normally paid from gross NOK 501 200 per annum before tax, depending on qualifications and seniority. 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 that you are admitted to the PhD programme in Computer Science within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution on a daily basis.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.
The application must include:
- CV, certificates and diplomas.
- Transcripts and diplomas for bachelor’s and master’s degrees. If you have not completed the master’s degree, you must submit a confirmation that the master’s thesis has been submitted or the approximate time it will be submitted. Documentation of a completed master’s degree must be presented before taking up the position.
- Copy of a maximum three of your publications you see relevant to the position.
- A draft research proposal (maximum three pages) where the candidate presents her/his own ideas for the PhD-work and how it can be applied, based on the project description given in this advertisement. This proposal will be neither final nor binding for the project.
- Certificate of English proficiency exam (IELTS or TOEFL).
- Names and contact information of at least two references.
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor’s and master’s education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – DORA.
NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.
The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.
If you have any questions about the position, please contact Associate Professor Seyed Ali Amirshahi, email email@example.com. If you have any questions about the recruitment process, please contact the HR-team at The department of Computer Science, e-mail: firstname.lastname@example.org.
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
If you are invited for interview, you must include certified copies of transcripts and reference letters. Please refer to the application number 2022/15266 when applying.
Application deadline: 31.01.23
NTNU – knowledge for a better world
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.
Department of Computer Science
We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .