PhD Within Machine Learning
About the position
The Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) has two vacancies for two Computer Science PhD fellowships at the Department of Computer Science (IDI). The positions will do research on machine learning, data science, and artificial intelligence for large-scale and structural data. The appointments are for 4 years with 25% teaching duties or 3 years without.
The research is part of the ShuttleNet project which is funded by Norwegian Research Council and aims to develop scalable neural models for long sequential data. The ShuttleNet project is managed by NTNU IDI. The position reports to head of department.
The position reports to Head of Department
Main duties and responsibilities
The PhD candidates will be supervised by Prof. Zhirong Yang. More specifically, the candidates 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 research and development will mainly take place in NTNU IDI in Trondheim, Norway. The candidates will also participate in other relevant research activities through our collaborators worldwide.
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 [subject area] or equivalent education 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.
- A solid knowledge of algorithms and data science is essential, and a research-oriented master thesis within one of these or related areas is expected
- Good programming skills are required
- Good written and oral English skills. Applicants 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 appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, postdoctor and research assistant
- Strength in mathematics is a plus
- Ability to work and think independently
- Enthusiasm and passion
- Perseverance and commitment
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
- 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 4 years withrequired duties or 3 years without duties. Appointment to a PhD position requires admission to the PhD programme in machine learning.
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.
Appointment takes place on the terms that apply to State employees at any time, and after the 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.
Questions about the position can be directed to Prof. Zhirong Yang, phone number +47-90154911, e-mail firstname.lastname@example.org
About the application:
The applicant must enclose the master thesis and a statement of purpose (max 5 pages), which includes:
- A short presentation of the motivation for a PhD study
- How the applicant sees his/her background suitable
- A short research statement
- Names and contact information of at least two references
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 2019/13103 when applying.
Application deadline: 09.06.2019
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 Computer Science
We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
Deadline 9. June 2019
Employer NTNU - Norwegian University of Science and Technology
Place of service Trondheim