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PERSEUS, PhD Candidate in AI for Databases

Employer
NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
Location
Trondheim, Norway
Closing date
14 Feb 2023

About the job

At the Department of Computer Science, we have a vacancy for a Ph.D. candidate in AI for Databases.

The aim of this PhD position is to work with research topics at the interface between machine learning and databases, and develop techniques that use AI to improve efficiency of database algorithms or database systems. Examples of topics in this direction from recent years include learned indexes, machine learning for query optimization, data cleaning, and algorithm selection. The PhD student will work with challenges related to these or other emerging topics within AI for databases, in cooperation with industry partners in the NorwAI research center. The research outcome is expected to produce high-quality publications in top database/data mining venues.

This PhD project is a part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance. 

Within PERSEUS we will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future. We are looking for highly skilled PhD candidates motivated to approach societal challenges within one of the following thematic areas:

  • Big data and AI 
  • Digital Twins 
  • Internet of Things 
  • Extended Reality 
  • Information and Cyber Security

In addition, for this fellowship, the PERSEUS program is collaborating with SFI NorwAI,  the new 8-year research-based innovation Center for AI Innovation. Here, we are joining forces with 15 partners from industry, universities and research institutes. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in innovative industrial solutions. Being part of a project like SFI NorwAI, give you a unique arena for collaboration and networking, also across disciplines and with industry. 

All participants in the PERSEUS network bring unique and important qualities with them into the doctoral programme. The PERSEUS PhD candidates will have the opportunity to collaborate with researchers in the partner institutions and in other project consortia, and benefit from these collaborative research and education activities.

As part of the PERSEUS team you will work alongside other highly motivated and talented PhD candidates and researchers. You will also have access to the knowledge base, state-of-the-art research infrastructure, and impact orientation of the partners in the team.

In addition to your education and development within the thematic research area, you will gain transferable skills within project development and management, science communication, research ethics, innovation and entrepreneurial thinking, as well as basic university didactics.

As a PERSEUS PhD candidate, you will be employed by NTNU. During your stay, you will do a 2–3 month international stay and a 1-2 month national stay with one of the PERSEUS partners. This will allow you to extend your network within academia and industry, and to learn about your research area from an academic, innovation, and societal perspective.

The duration of the PhD employment is 36 months.

Starting gross salary is 501.200 NOK/year (equal to approx. 50.000 EUR/year by the exchange rate of February 2022).

We are looking for PhD candidates from all nationalities, who want to contribute to our quest to create knowledge for a better world. PERSEUS recruits candidates according to the EU’s mobility rule, i.e. applicants cannot have spent more than 12 months in Norway during the last 3 years, be within the first four years of their research careers and not yet be awarded a doctoral degree.

We believe in fair and open processes. All applications will be considered through a transparent evaluation procedure, with independent observers involved.

The position's working place is NTNU campus in Trondheim. 

Your immediate leader is the group leader of data and artificial intelligence (DART). 

We look forward to welcome you to the PERSEUS and NorwAI teams.

Duties of the position

The main supervisor will be Prof. Kjetil Nørvåg, and the candidate is also expected to work together with other researchers in his group and industrial partners of NorwAI. Other duties:

  •  undertaking the necessary courses (30 ECTS) as part of the PhD programme; 
  • submitting an application for admission and a research plan no later than 3 months after the employment; 
  • conducting high quality research and report progress on a regular basis and in agreement with the supervisors.

Required selection criteria

  • International mobility requirements: Applicants of any age and any nationality will be eligible as far as they fulfil the mobility requirement of the COFUND programme, namely, the applicants must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organization (Norway) for more than 12 months in the 3 years immediately before the call deadline of PERSEUS. 

Candidates must at the date of the call deadline be within the first four years of their research careers and not yet be awarded a doctoral degree. Full-time equivalent research experience is measured from the date when the candidate obtained the degree entitling him/her to embark on a doctorate (e.g. from the Master's degree).

  • Education requirements: 5 years of higher education (BSC and MSC) or education equal to (300 ECTS). The grade requirements are B or higher (based on NTNU’s grading scale). Master degree must be completed by the call deadline. Education will have to be documented by diploma supplement or equivalent documentation in English and include a description of the educational system. International Relations do require Chinese diplomas to be verified using CHSI. The NTNU Office of International Relations will evaluate degrees and diplomas.
  • Language skill requirements: The applicants will be asked to provide evidence of good English language skills, written and spoken. The following certificates may be used as such evidence: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
  •  Export of Knowledge Control: The PhD candidates who, based on a comprehensive first-hand assessment, might come into conflict with legislation governing exports of knowledge, technology and services will not advance further from the first stage in the recruitment process. For further information, please refer to the Export Control Act. 

In addition, the candidate must have:

  • A research-oriented master’s thesis in Computer Science.
  • A solid knowledge of algorithms and data structures. 
  • Good programming skills.
  • Good written and oral English language skills.

The appointment is to be made in accordance with  Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant  

Preferred selection criteria

  • Good understanding of database systems.

Personal characteristics

The applicant should:

  • enjoy working in a team-based environment, but also be able to conduct independent activities and thinking.
  • have a problem-solving attitude.
  • be highly motivated to publish in top academic conferences and journals within the area of the position.
  • commitment and delivery with respect to deadlines.

We offer

Salary and conditions

PhD candidates are remunerated in code 1017 and are normally remunerated at gross from NOK 501 200 per annum before tax, however it may be negotiable (increased) depending on high level of qualifications and research experience of the candidate. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years.

Appointment to a PhD position requires that you are admitted to the PhD programme in Computer Science within three months of employment, and that you participate in an organized PhD programme during the employment period.

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.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 

Please submit your application electronically via Jobbnorge website. Applications submitted elsewhere/incomplete applications will not be considered. Applicants must upload the following documents within the closing date:

  • CV including information relevant for the qualifications, submitted together with an identification document.
  • Name, current affiliation and email address of at least 2 persons that will provide reference for you.
  • Certified copies of academic diplomas and transcripts and 2 reference letters.
  • Applicants from universities outside of Norway will be requested to send a diploma supplement (or a similar document) which describes in details the study and grading system, and the rights for further studies associated with the obtained degree. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
  • A research interest description (maximum 2 pages) that includes a short presentation of the motivation for a PhD study, suitability for the position and the applicant’s view towards listed research challenges as well as the theoretical and methodological approach to the challenges.  
  • A copy of the master’s thesis (in PDF).
  • Scientific publications (if any). Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

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 committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

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.

If you have any questions about the position, please contact, Kjetil Nørvåg, email: noervaag@ntnu.no. If you have any questions about the recruitment process, please contact e-mail: hr@idi.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: 14.02.23

Hovedbygningen

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 14th February 2023
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Campus Gløshaugen

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