Phd Position in Computer Vision and Machine Learning in Extreme Environments
About the position
We have a vacancy for a PhD position to work in ice imagery data from extreme environments using machine learning and computer vision.
The position reports to Associate Professor Ekaterina Kim, who will be the main supervisor. Professor Theoharis Theoharis from the Department of Computer Science will be a co-supervisor. The candidate will be affiliated with the Marine Systems Research Group and Visual Computing Laboratory.
The PhD candidate will work in a high-level international research environment at the premises of NTNU in Trondheim at the Department of Marine Technology -- a world leader in education, research, and innovation for engineering systems in the marine environment. The research will be carried out in cooperation with the Department of Computer Science, industry and the Centre for Autonomous Marine Operations and Systems (1).
More information at https://www.ntnu.edu/amos
A picture is worth a thousand words. As number of ice data growing faster than the number of ice experts, ice imagery presents the opportunity to automate some of the traditionally manual processes using computer vision techniques and machine learning. The objective of the work is to provide accurate and efficient models for classification and segmentation of ice objects from close-range imagery with their consequent attribute evaluation as required for safe Arctic navigation and spatial and temporal ice conditions monitoring. The PhD candidate will address certain fundamental ice-imagery related questions using state-of-the-art computer vision techniques, particularly:
- Data collection and enrichment,
- Classification of ice objects from close range imagery,
- Segmentation/Reconstruction of ice features from appropriate imagery,
- Attribute evaluation of the identified features.
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 in computer science or with a strong academic background within the field of computer science 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.
- Knowledge and experience with computer vision and machine learning.
- Excellent English skills, written and spoken, are required. Applicants from non-European countries where English is not the official language must present an official language test report. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
- Knowledge of Arctic navigation and ice conditions is useful, but not required, and will form parts of the candidate’s academic curriculum.
- We are seeking a candidate who is curious and interested in learning new things. You should have a high level of personal responsibility, initiative, and ability to work independently as well as in a project team.
- In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement.
- exciting and stimulating tasks in a strong international academic environment
- opportunity to develop multidisciplinary research skills
- 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 without required duties. Appointment to a PhD position requires admission to the PhD programme in Marine Systems.
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.
It is expected that the candidate can start in the position within August-September 2019.
The position is also open for integrated PhD for NTNU students starting their final year of their master degree in Autumn 2019, see https://www.ntnu.no/ie/forskning/integrertphd for information about integrated PhD.
Appointment takes place on the terms that apply to State employees at any time, and after 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.
The national labour force must reflect the composition of the population to the greatest possible extent. NTNU wants to increase the proportion of women in its scientific posts. Women are encouraged to apply. Norway has generous rules for both maternity and paternity leave. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life (http://trondheim.com/). Having a population of 200.000, Trondheim is a small city by international standards with low crime rates and little pollution. It also has easy access to a beautiful countryside with mountains and a dramatic coastline.
Questions about the position can be directed to Ekaterina Kim, phone number+4773595711, e-mail 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.
Please refer to the application number IV-147/19 when applying.
Application deadline: 2019-05-06
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 Marine Technology
We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.
Employer NTNU - Norwegian University of Science and Technology
Place of service Department of marine technology