Researcher in Robust AI

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You can find more information about working at NTNU and the application process here.

About the Job

We have a vacancy for a Researcher at the Department of Computer Science fully funded over 18 months.

The position is connected to the project “RICO – Robust Intelligent Control”, funded by the Norwegian Research Council and in collaboration between NTNU, SINTEF, ANEO A/S, SolutionSeeker A/S and Aneo Mobility . 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 successful candidate will be tested within these areas:

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

The period of employment is 18 months. 

You will report to the section leader for DART.

Duties of the position

• Develop frameworks and open-source tools for evaluating the robustness of ML time series predictions and/or robust control.
• Improve ML methods for robust time-series prediction and/or robust control.
• 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

We are looking for a Researcher (Code 1109), hence 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.

In exceptional cases we can also consider employing a Researcher (Code 1108), for which a completed PhD is not required. For this to be relevant, you will need to be in the process of completing your PhD. 

• Before starting in the position 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 (Code 1109) or in the process of doing so (Code 1108). In the latter case you need to provide a statement from your supervisor about the expected finalization of the PhD.
• Good programming skills in Python or Julia, including comprehensive experience with modern machine learning libraries.
• Published scientific articles in the field of this position.
• Good written and oral English language skills

Preferred selection criteria

• The optimal candidate has a drive to produce high quality work publishable at high-ranking venues, and an already established publication-record at said venues. 
• Experience in both theoretical and applied work.
• Good written and oral Norwegian language skills.

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

• 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

The gross salary for the position of Researcher (code 1109) is normally remunerated from gross NOK 580 000 – NOK 750 000 before tax per year, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund. Should you be offered the position as code 1108, which is normally remunerated at gross from NOK  550 000 – NOK 700 000 before tax per year, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

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. 

It is a prerequisite that 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. 

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. 
• A statement from your PhD supervisor in case the finalization of your PhD is still pending.
• 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.

Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include evidence of your contributions.  

In the assessment of the best qualified applicant, we will emphasize education, experience and personal suitability as well as your motivation for the position. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – DORA. This means that we pay special attention to the quality and professional breadth of these works. We also consider experience from research management and participation in research projects. We place great emphasis on your scientific work from the last five years.

General information

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 +47 476 37 075‬, email odderik@ntnu.no. If you have any questions about the recruitment process, please contact HR, 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: 01.06.2024

DIVERSE INFO

Kilde: NAV stillingsannonser
https://arbeidsplassen.nav.no/stillinger/stilling/9ea2258f-69d5-4515-8416-6397d5187246
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https://www.jobbnorge.no/ledige-stillinger/stilling/262130