Postdoctoral Fellow in the Area of Robustness in Predictive Systems

About the job

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The position is connected to the project “RICO – Robust Intelligent Control”, funded by the Norwegian Research Council and in collaboration between NTNU, SINTEF, TrønderEnergi A/S, SolutionSeeker A/S and Ohmia Charging. The ambition of RICO is to develop new methods for improved robustness of intelligent control systems and predictive models. The successful candidate will be working with particular emphasis on robustness in predictive systems. There is a gap between the research on very advanced methods tested in a controllable and predictable environment and the industrial setting where the environment is neither completely known nor controllable and where information can be scarce, uncertain and of low quality.  This gap can be closed by developing novel methods for robust intelligent control and forecasting to be tested in both controlled environments and in industrial systems, and this is exactly the aim of RICO. RICO will consider a variety of use-cases, and the work developed by the postdoctoral fellow candidate will be tested within these areas:

  • Hydro-optimization for green energy production
  • Energy load forecasting
  • Charging of electrical vehicles

Your immediate leader is the Head of Department.

Duties of the position

  • Develop frameworks and open-source tools for evaluating the robustness of ML time series predictions.
  • Improve ML methods for robust time-series prediction.
  • Interact and collaborate with the RICO team, including PhD students, postdocs, permanent staff, and end-users.
  •  Presentation of results nationally and internationally.
  • Publishing in international journals.

Required selection criteria

A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. You must have completed a Norwegian doctoral degree in  artificial intelligence, statistics, mathematics, or a related area or in a related field or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.

  • You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in artificial intelligence, statistics, mathematics, or a related area.
  • Excellent written and oral English language skills.
  • Good programming skills in Python or Julia, including comprehensive experience with modern machine learning libraries.
  • Published scientific articles in the field of this position.

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Ph.D Candidate, research assistant and specialist candidate.

Preferred selection criteria

  • Documented experience working with robust ML, robust statistics, or robust control.
  • Experience with building deployed machine learning systems.
  • Experience from the energy sector is a positive, because the successful candidate will provide solutions that will be tested in that area.

Personal characteristics

  • Strongly motivated to advance the current state of knowledge on the topic of this position.
  • Team-player, but also able to work independently.
  • Open to interact in a multidisciplinary and multi-cultural environment.
  • Good communication skills.

We offer

Salary and conditions

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 563 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund

The period of employment is 3 years.

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 on a daily basis.

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.

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

The application must include:

  • CV, certificates and diplomas.
  • transcripts and diplomas for master’s- and PhD degrees.
  • Academic works – published or unpublished – that you would like to be considered in the assessment (select up to 5 items).
  • A research plan, up to 3 pages, in which you position your previous work in the area of robust ML including robust time-series. prediction.
  • Name and address of three 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. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.  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.

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 

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and 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 Odd Erik Gundersen, telephone +47 47637075, email odderik@ntnu.no. If you have any questions about the recruitment process, please contact HR at the Department, email 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.

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 .