PhD Fellowship within Artificial Intelligence for Exposed Aquaculture Operations
The Faculty of Information Technology and Electrical Engineering (IE) (http://www.ntnu.edu/ie) at the Norwegian University of Science and Technology (NTNU) has a vacancy for a 100% position as PhD fellow within artificial intelligence for exposed aquaculture operations in the Department of Computer Science (IDI) (http://www.ntnu.edu/idi).
The appointment is for a term of 4 years, with duties equivalent to 25 %, or 3 years without duties. Duty work, if relevant, will primarily be related to support of educational tasks in the department. This is a researcher training position aimed at providing promising future researchers the opportunity of academic development in the form of a doctoral degree.
Information about the department
The Department of Computer Science currently employs 30 full time professors, 60 associate/assistant professors, 19 adjunct professors, 37 postdocs/researchers, 90 PhD students, and 20 technical/administrative staff. The department has had research and educational programs in Artificial Intelligence and Machine Learning since the early nineties.
The department’s research in artificial intelligence, including machine learning contributes to the state-of-the-art of individual methods and algorithms as well as combinations of methods targeting particular tasks. They cover a large variety of methods applied to various tasks. For example, combining data-intensive methods with knowledge-based methods for decision support, or, more specifically, combining deep neural networks with reinforcement learning for analysis of large volumes of data.
Artificial intelligence for exposed aquaculture operations
The PhD candidate will be a member of the department’s project team for EXPOSED Aquaculture Operations, a recently started Centre for Research-Based Innovation lead by SINTEF OCEAN. The Center is targeting problems that are occurring as fish farms are moving out of fjords to more exposed conditions. Our department's focus is on artificial intelligence methods for data analysis and decision support, combining interpreted data and human experience for improved quality, safety, and efficiency of fish farming operations. The topic for this PhD research is within machine learning methods applied to relevant problems for the project, with an emphasis on deep learning methods. Experimental development and prototyping will be a central research approach, and candidates with experience in program development, programming, and testing of machine learning systems will be prioritized.
The PhD fellow will be a member of the Data and Artificial Intelligence group and will participate in relevant research activities within the on-going collaboration. For this reason, a successful candidate is expected to perform excellent research within AI, machine learning, data analytics, case-based reasoning or related areas.
A Master degree in Computer Science with very good results is required, with an average grade B or better as measured in ECTS (European Credit Transfer System) grades. We specifically seek individuals with specialization in areas of Machine Learning and Artificial Intelligence in line with the above description. The ideal candidate should be able to document experience in applying machine learning techniques, and in particular deep neural networks, to real world problems. It will further be an advantage to have experience from problems related to the ocean space.
The main communication language for cooperating activities within data providers and end-users will be Norwegian. Candidates who speak Norwegian or another Scandinavian language will therefore have a preference.
In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases the candidate’s language skills will be assessed in a personal interview.
Appointments are made in accordance with the regulations in force regarding terms of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU. Applicants must undertake to participate in an organized PhD programme of study during their period of employment. The person who is appointed must comply with the conditions that apply at any time to employees in the public sector. In addition, a contract will be signed regarding the period of employment, including duty work if relevant.
Applicants must be qualified for admission as PhD students at NTNU. See http://www.ntnu.edu/ie/research for information about PhD studies at IE, NTNU.
The position is in code 1017 Stipendiat, minimum salary grade 50 in the Norwegian State salary scale, typically in salary grade 50-57, gross NOK 436.900,- to 490.900,- per year, depending on qualifications. A deduction of 2 % is made as a statutory contribution to the Norwegian Public Service Pension Fund.
We can offer
- an informal and friendly workplace with dedicated colleagues
- academic challenges in an international environment
- attractive schemes for housing loan, insurance and pensions in the Norwegian Public Service Pension Fund
The Faculty of Information Technology and Electrical Engineering want to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background.
NTNU wants to increase the proportion of women in its scientific posts. Women are encouraged to apply. The appointment is subject to the conditions in effect at any time for employees in the public sector.
As far as possible, the State workforce should reflect the diversity of the population. Goals of our personnel policy therefore include a balanced distribution in terms of age and gender as well as recruitment of people of immigrant background.
Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants.
The application requirements:
The application must contain:
- Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
- Certified copies of transcripts and diplomas
- Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree
- A Statement of Purpose (2 pages) including
- A short presentation of the motivation for a PhD study
- How the applicant sees his/her background suitable
- The applicant’s view of research challenges within the area of the PhD position
- How the competence of the applicant can contribute to solving these challenges
- Names and contact information of at least 2 reference persons
- A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis (1 page)
Incomplete applications will be rejected.
The application must be sent electronically as one combined PDF file via this page (jobbnorge.no). Potential successful candidates will be interviewed via Skype or other means.
For further information about the fellowship, please contact Associate Professor Kerstin Bach, e-mail: firstname.lastname@example.org, phone: + 47 73597410, or head of the department Professor John Krogstie, e-mail: email@example.com, phone: +47 93417551.
For information about processing of applications, please contact Senior Executive Officer Anne Kristin Bratseth, phone +47 73 59 67 15, e-mail: firstname.lastname@example.org.
Mark the application: IE 001-2018
Deadline for application: 18.01.2018