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The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

PhD FELLOWSHIP WITHIN MACHINE LEARNING IE161-2018

The Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) http://www.ntnu.edu/ie invites applications for a PhD Fellowship position at the Department of Computer Science (http://www.ntnu.edu/idi), in Trondheim.
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 (IDI) has about 246 employees including 33 professors, 38 associate professors, 13 adjunct associate professors, 18 assistant professors, 30 postdoctoral researchers, approximately 90 active Ph.D. students, and 23 technical/administrative staff. More than 7,000 students study one or more courses at the department each year. IDI has offices in both Trondheim and Gjøvik, and the position described in this announcement will be located in Trondheim. To find out more about the department's research and educational activities please visit: https://www.ntnu.edu/idi/research/.
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 conducts fundamental ML research, including theory and method development, as well as application-oriented research at a high international level. The PhD fellowship position will be dedicated to the AI-Lab.
Work description
The PhD fellow will be a member of the Telenor-NTNU AI Lab project team and be supervised by Prof. Zhirong Yang. More specifically, the doctoral candidate will mainly perform research on next-generation deep neural networks, which can significantly improve inference for large-scale structured data such as DNA sequence, text corpus, time series, as well as networked and graphical data. The research findings can be applied to various domains, including telecommunication, biology, natural language understanding, human computer interaction, etc. The candidate will also participate in other relevant research activities through our collaborators worldwide.
Qualifications
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 database systems or algorithms 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.
Formal regulations
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. Together with the application, include a description of the research work that is planned for completion during the period of the grant.
Salary conditions
The position is in code 1017 Stipendiat, salary grade range 51-63 in the Norwegian State salary scale, and typically in salary grade 51-58, gross NOK 449 400 – 505 800 per year, depending on qualifications. A deduction of 2 % is made as a statutory contribution to the Norwegian Public Service Pension Fund.
General information
We can offer

• an informal and friendly workplace with dedicated colleagues
• academic challenges
• attractive schemes for housing loan, insurance and pensions in the Norwegian Public Service Pension Fund

The Faculty of Information Technology and Electrical Engineering (IE) 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.
Formal regulation
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.
• Related documents, which demonstrate the competence of the applicant on mathematics, programming and/or machine learning.
• 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 Prof. Zhirong Yang, e-mail: [email protected], Telenor – NTNU AI-Lab Coordinator, Prof. Heri Ramampiaro, e-mail: [email protected], phone: + 47 73 59 14 59, and head of the department Prof. John Krogstie, e-mail: [email protected], phone: +47 73 41 27 76.
For information about processing of applications, please contact Senior Executive Officer Anne Kristin Bratseth, phone +47 73 59 67 15, e-mail: [email protected].
Mark the application: IE 161-2018
Deadline for application: 2018-10-15