Adjunct Associate Professor within Advanced Computer Vision and AI for Aquaculture Cybernetics
- Employer
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Location
- Trondheim, Norway
- Salary
- NOK 690 000 to NOK 870 000 per year,
- Closing date
- 13 Nov 2024
View more categoriesView less categories
- Academic Discipline
- Computer Science, Engineering & Technology
- Job Type
- Academic Posts, Principal / Senior Lecturers / Associate Professors
- Contract Type
- Temporary
- Hours
- Full Time
About the job
The Adjunct Associate Professor position has a full-time equivalence of 20% and has a fixed term of 3 years with the possibility of employment for further periods. This role addresses the growing interest in integrating computer vision, machine learning, and artificial intelligence within the aquaculture industry, enhancing fish welfare, promoting sustainable operations, and maintaining the structural integrity of farming facilities both in Norway and internationally. The position is externally funded for 3 years.
Over the recent years, the Department of Engineering Cybernetics experienced a steady increase in interest in computer vision applications for aquaculture fish farming, thereby increasing the number of students choosing related topics for their master projects. To address this growing interest, the department aims to provide specialized teaching in computer vision tailored specifically for aquaculture.
Your immediate leader is Head of Department.
Responsibilities
- Teaching Topics in Computer Vision for Aquaculture: Preparation of lectures and practical sessions for a new specialization course that includes computer vision for aquaculture. This includes development of teaching material such as lecture notes/compendium and exercises.
- Research and project proposals: Contribute to research initiatives/project proposals that includes computer vision for aquaculture, in areas such as individual salmon recognition, fish net inspection, and 3D reconstruction for aquaculture and potential to the development of autonomous marine solutions, with the aim to submit at least one RCN project proposal within the period.
- Student Supervision: Propose topics for, and supervise project and master’s students working on computer vision applications in aquaculture.
- PhD and Research Supervision: Guide PhD candidates, postdoctoral fellows, researchers, and students at the department who wish to require expertise in computer vision for aquaculture.
- Community Building: Contribute to building a strong academic community focused on computer vision for aquaculture within the department, fostering collaboration with other departments on related methodologies and applications.
In this position, you will share academic responsibilities with the department’s other scientific staff. You are therefore obliged to participate in the implementation of the teaching plan according to the current study curriculum and contribute to the ongoing development of the subject area and teaching program.
Required selection criteria
Adjunct Associate Professor:
The position of Assistant Professor within “Advanced Computer Vision for Aquaculture
Cybernetics” requires that you meet the criteria in the Regulations concerning appointment and promotion to teaching and research posts section 1-4.
- Your academic work must include work in practical and/or theoretical computer vision
for aquaculture - A PhD in computer science, electrical engineering, robotics, or a related field with a
strong focus on computer vision - At least 2 years of research experience after PhD in computer vision with applications in
aquaculture or marine environments - A robust publication record in peer-reviewed conferences and journals, demonstrating
expertise and leadership in computer vision and its applications in aquaculture - Proven ability to teach and mentor students at undergraduate and graduate levels, with
experience in curriculum development and course design - Proficiency in programming languages such as C++, Python, and MATLAB, and
experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer
vision libraries (e.g., OpenCV) - Demonstrated experience in collaborating with interdisciplinary teams, including
marine biologists, aquaculture engineers, and industry partners - Ability to participate in and initiate project grant writing and management
- Excellent written and verbal communication skills in English, with the ability to convey
complex technical concepts to students, colleagues, and non-specialist audiences - Leadership skills with a proactive approach to mentoring junior researchers for a
collaborative and supportive research environment
In addition to formal qualifications in teaching at university level, you must document
- Development in teaching and counselling of students over time
- Extensive experience with supervision preferably at the master / PhD level
- Participation in the development of educational quality in a work environment
You must document relevant basic competence for teaching and supervision at university/higher education-level, ref. Regulations. If this cannot be documented, you are required to complete an approved course in university teaching (1 module = 20 h) within two years of commencement. NTNU offers qualifying courses.
Preferred selection criteria
- Applicants with teaching experience from higher education will be preferred
- Experience, in developing and implementing computer vision solutions suitable for the aquaculture industry or marine technology
- Application-driven experience within aquaculture operations
Personal characteristics
- Communication Skills: Strong communication skills in English, both oral and written, with students and colleagues
- Collaboration Skills: Excellent teamwork and collaboration abilities
- Flexible Mindset: Flexibility to work on both fundamental and applied research
- Structured Approach: Ability to work in a structured manner
- Solution and Result Orientation: Solution- and result-oriented mindset
- Emphasis will be placed on personal and interpersonal qualities.
We offer
- Exciting and challenging tasks in a dynamic and international academic environment
- An open and inclusive working environment, with enthusiastic colleagues
- Favorable terms in the Norwegian Public Service Pension Fund employee benefits
Salary and conditions
In a position as Adjunct Associate professor (code 1011) you will normally be remunerated from gross NOK 690 000 to NOK 870 000 per year, corresponding with a 20% position, depending on qualifications and seniority. If you are eligible for membership at the Norwegian Public Service Pension Fund, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
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.
About the application
The application and supporting documentation must be in English.
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.
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.
Your application must include:
- CV, diplomas, and certificates
- A teaching portfolio, in which your teaching competence is compiled and presented systematically, (See guidelines for applicants: Documentation of teaching qualifications in applications and appointments to academic positions at NTNU)
- Academic works – published or unpublished – that you wish to be considered during assessment of your application (up to 10 items)
- A description of the scientific/artistic works you consider most relevant, which you particularly wish to be factored into the assessment
- A list of your previous works, with details on where they have been published
- A research plan
- Details of projects for which you have served as project manager, including information on financing, duration, and scope
- Names and contact information for three relevant referees
Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include evidence of your contributions.
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 obliged by the evaluation criteria for research quality in accordance with The San Fransisco Declaration on Research Assessment – DORA. This means that we will pay particular attention to the quality and academic range demonstrated by your scientific work to date. We will also pay attention to research leadership and participation in research projects. Your scientific work from the last five years will be given the most weight.
Your application will be considered by an expert committee. Candidates of interest will be invited to an interview, and to deliver a trial teaching session.
General information
NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.
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.
For the sake of transparency, candidates will be given the expert evaluation of their own and other candidates. As an applicant you are considered part of the process and is stipulated to rules of confidentiality.
If you have any questions regarding the position, please contact Sebastien Gros, e-mail sebastien.gros@ntnu.no
If you have questions regarding the recruitment process, please contact HR, e-mail rekrutteringsteam@ie.ntnu.no
If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.
Application deadline: 13.11.2024
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 Engineering Cybernetics (ITK)
Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.
Questions about the position
Sebastien Gros
Instituttleder
sebastien.gros@ntnu.n
Deadline 13th November 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fixed percentage (20%)
Duration Temporary
Place of service O. S. Bragstads plass 2D, 7034 Trondheim
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert