Postdoctoral Fellowship in Deep Learning for Video Quality Assessment
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About the position
A 45 months Postdoctoral position is available at the Department of Computer Science in Gjøvik. The position will focus on detecting and classification of distortions and enhancements affecting the video quality. The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.
The Postdoctoral position is part of the research project “VQ4MedicS: Video Quality Assessment and Enhancement for Pre-Hospital Medical Services”. The project aims to evaluate the quality of the video streamed by paramedics and patients to doctors at the hospital, so they can diagnose and provide instructions remotely.
The Postdoctoral position will focus on developing methods and techniques for characterising possible visual distortions and enhancements affecting the quality of the video stream. This information could then be used in proposing new video enhancement and video quality metrics.
The position complements the state-of-the-art research performed at the Norwegian Colour and Visual Computing Laboratory.
You will report to Head of Department.
Duties of the position
- Conduct a stand-alone research project on image and video quality assessment.
- Participate in the general activities of the Colourlab.
- Participate in the general activities of the department.
- Participate in international activities such as conferences and research stays at educational institutions abroad.
Required selection criteria
- You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD
- A professionally relevant background in machine learning, video quality, color imaging, computer vision or similar
- Background or experience in deep learning frameworks (Tensorflow, Keras, or PyTorch)
- Good programming skills
- Excellent oral and written communication skills in English and an ability to communicate effectively
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, post doctor and research assistant
Preferred selection criteria
- Knowledge of the human visual system.
- Familiarity with subjective or objective video quality assessment.
- Experience in working in an interdisciplinary project.
Personal characteristics
- High motivation for research work and ability to work independently
- Well organized
- Ability to work both individually and in a (virtual) team environment with a high level of personal responsibility, initiative, and leadership skills
- Flexibility and ability to take direction and accommodate feedback from diverse stakeholders
- Ability to meet deadlines and produce work of a consistently high standard
- Eager to disseminate research results through publications and presentations at international conferences
We offer
- 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 Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 553 500 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 45 months.
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 applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.
The application must include:
- A cover letter where the applicant describes his/her personal motivation and relevance with respect to the requirements of the advertisement.
- A research proposal (maximum three pages) which could link your research experience to the focus of the project (detecting and classification of distortions and enhancements).
- CV, certificates and diplomas.
- Transcripts and diplomas for bachelor's-, master's- and PhD degrees.
- Academic works - published or unpublished - that you would like to be considered in the assessment (up to 3 items).
- Name and contact information of three referees.
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. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief 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.
General information
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
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.
Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you have any questions about the position, please contact Associate Professor Seyed Ali Amirshahi, email s.ali.amirshahi@ntnu.no. If you have any questions about the recruitment process, please contact Stine Terese Ruen Nymoen, e-mail: stine.t.r.nymoen@ntnu.no.
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 2021/54794 when applying.
Application deadline: 20.11.2021
Om bedriften
NTNU
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 .