PhD Fellow in Machine Learning
The Faculty of Information Technology and Electrical Engineering (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 Machine Learning at 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 for a candidate, will primarily be related to support of education tasks. 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 has 28 full time professors, 60 associate professors, 19 adjunct professors, 37 postdocs/researchers, 65 PhD students, and 22 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 Machine Learning contributes to the state-of-the-art of individual methods and algorithms as well as combinations of methods targeting particular tasks. For example, combining data-intensive methods with knowledge-based methods to produce user explanations for decision support. Thus far, our strongest contributions to the international research front have been within Bayesian learning and probabilistic reasoning, evolutionary learning and neural networks, and instance-based learning and case-based reasoning. In addition, we have ongoing activities at a high international level within large-scale data and information management. Over the last years there has been an increased interest in combined methods, e.g. integrating probabilistic and instance-based learning methods, or combining deep neural networks with reinforcement learning, applied to large volumes of data.
The Telenor-NTNU AI-Lab
The Telenor-NTNU AI-Lab (http://www.ntnu.edu/ailab) is a joint lab for research in Artificial Intelligence, Machine Learning, and Big Data Analytics. The lab was established in 2016, and has formally been operative since January 1st, 2017. It is hosted by the Department of Computer Science. The lab will conduct fundamental ML research, including theory and method development, as well as application-oriented research at a high international level. Lab facilities will also be available for other research groups within the Faculty of Information Technology and Electrical Engineering doing ML research, for NTNU more generally, and for external cooperating partners.
The PhD fellowship position will be dedicated to the AI-Lab. In addition, we plan to hire one full professor and two postdoctoral fellows and another PhD fellow, who will also be directly connected to the lab.
The PhD fellow will be a member of the Telenor-NTNU AI-Lab project team. More specifically, the doctoral candidate will participate in relevant research activities connected to the lab. For this reason, a successful candidate is expected to perform excellent research within AI, Machine Learning, Big Data Analytics, or related areas.
A master's degree in Computer and Information Science or equivalent with very good results is required, with an average grade B or better as measured in ECTS (European Credit Transfer System) grades, or an education at the equivalent level. A solid knowledge of machine learning or related methods is essential, and a research-oriented master thesis within one of these or related areas is expected. Good programming skills are required.
Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. 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). Minimum scores are:
TOEFL: 600 (paper-based test), 92 (Internet-based test),
IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted),
CAE/CPE: grade B or A.
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.
The position is in code 1017 Stipendiat, salary grade range 50-62 in the Norwegian State salary scale, and typically in salary grade 50-57, gross NOK 430,200 - 483,400 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 (including a short presentation of the motivation for a PhD study and how the applicant sees his/her background suitable, and the applicant’s view of research challenges within the area of the PhD position and one of the topics listed above, and how the competence of the applicant can contribute to solving these challenges) (2 pages)
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 Heri Ramampiaro, e-mail: firstname.lastname@example.org phone: + 47 73 59 14 59, and head of the department professor Maria Leztizia Jaccheri, e-mail: email@example.com phone: +47 73 59 34 69.
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 022-2017
Deadline for application: 2017-03-21
About this job
- Deadline 3/21/2017
- Employer NTNU - Norwegian University of Science and Technology
- Municipality Trondheim
- Place of service Trondheim
- Jobbnorge ID 134581
- Internal ID IE 022-2017
- Scope Fulltime
- Duration Temporary
- Applications on this job are registered in an electronic form on jobbnorge.no
- You must complete: Standard CV
- Please refer to where you first saw this job advertised!