挪威科技大学

PhD Candidate in Artificial Intelligence

项目介绍

About the position

Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.

The position is funded by the Norwegian Research Center for AI Innovation – NorwAI, and will be based at the Department of Computer Science in Trondheim. The candidate will work in cooperation with the partners of NorwAI at NTNU. SFI NorwAI is a centre for research-based AI Innovation hosted at NTNU in Trondheim, Norway. NorwAI joins 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. The position is associated with the DATA work package, which aims at developing modern AI for data. The candidate will conduct research to augment data with the help of generative AI methods.

Your immediate leader will be the Head of the DART group.

Duties of the position

  • Establish knowledge about the state of the art in AI
  • Prepare data for experiments
  • Plan, conduct, and analyze experiments
  • Disseminate research results
  • Support university functions

The main supervisor will be Associate Professor Benjamin Kille, and the candidate is also expected to work together with other researchers in the group and industrial partners of NorwAI. 

Be prepared for changes to your work duties after employment.

Required selection criteria

  • You must have a professionally relevant background in Artificial Intelligence, Machine Learning, and Generative AI.
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master’s level.
  • You must have a strong academic background from your previous studies and an average grade from the master’s degree program, or equivalent education, which is equal to B or better compared with NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • Must have excellent written and oral English language skills, knowledge of a Scandinavian language is a plus.
  • You must meet the requirements for admission to the PhD programme in Computer Science.
  • You must be proficient in programming.

PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.

As a result of the new Act relating to universities and university colleges with associated regulations of 01.08.2024, NTNU has, during a transitional period (for decisions on employment in recruitment positions before 1 August 2025), chosen to use the terms of employment in the old regulations of 31 January 2006 no. 102 on terms of employment for positions such as postdoctoral fellow, research fellow, scientific assistant and specialist candidate

Preferred selection criteria

  • Experience with machine learning and relevant tools, such as PyTorch, Tensorflow
  • Experience with Extraction, Transformation, Load (ETL) processes

Personal characteristics

  • Acquires new knowledge quickly, and is able to use existing knowledge in new ways.
  • Enjoys working in team-based environment, but is also able to conduct independent activities.
  • Highly motivated to publish at academic conferences, and in journals within the area of the position.
  • Has good communication skills.
  • Interest in innovating and create value for organizations.

Emphasis will be placed on personal qualities.

We offer

You will be employed as a PhD Candidate at NTNU and will have access to employee benefits and discounts

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population’s collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. 

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. 

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. 

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 536 200,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. 

The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before the end of the employment period, the employment period can be extended by 10 weeks after completed and documented the Norwegian course. 

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in computer science within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment.

As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary academic and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control(legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

  • Transcripts and diplomas for Bachelor’s and Master’s degrees
  • CV 
  • Copy of Master’s thesis (a link to the document suffices). If you have recently submitted your Master’s thesis, you can attach a draft of the thesis. Documentation of a completed Master’s degree must be presented before taking up the position.
  • Publications etc. other relevant research work if available (links are sufficient)
  • Names and contact information of three relevant referees
     

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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well. 

Joint works will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU’s social mission).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.

If you think this position looks interesting and in line with your qualifications, you are welcome to apply.

If you have any questions about the position, please contact Associate Professor Benjamin Kille (benjamin.u.kille@ntnu.no). If you have any questions about the recruitment process, please contact HR at the Computer Science department at HR@IDI.ntnu.no

For practical information about working at NTNU, please visit this webpage. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.

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截止日期 2025-03-30
挪威科技大学

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挪威科技大学,挪威全国最顶尖的工程学与工业技术的研究中心,北欧五校联盟成员。
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