The Department of Electric Power Engineering (IEL), at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), invites applications for a Ph.D. candidate position in “Optimal hydropower scheduling using advanced machine learning and data analytics”, Norway – May 2022
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Position: PhD Position
No. of Positions: 1
Research Field: Computer Science, Electrical engineering, Physics
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 3 Years
Salary: 491,200 NOK/Year
Department of Electric Power Engineering (IEL)
Norwegian University of Science and Technology (NTNU), Norway
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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: Master’s degree in electrical engineering or other relevant programmes such as computer science, physics, information systems, etc. All together 5 years of higher education (BSC and MSC) or education equal to (300 ECTS) are required. 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 excellent English language skills, written and oral. 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).
- Excellent programming skills are required.
Preferred selection criteria
- Scientific publications
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and 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
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.
- highly motivated and proactive in research
- ability to work independently but also in a team,
- commitment and delivery with respect to deadlines
In Norway, hydropower is the primary source of electricity, and it accounts for 96% of electricity generation. Due to the long-term reservoir storage constraints in hydropower dominated systems, the resource scheduling should be done for a sufficiently long-time period and with an appropriate representation of uncertainties (such as inflow to reservoirs, wind power generation, demand etc.) Existing hydropower scheduling models face many shortcomings when dealing with such uncertainties.
The IntHydro project aims to develop and demonstrate a new hydropower scheduling tool based on machine learning techniques, which manages the hydropower plants more efficiently and effectively through optimizing water resource management and multi-dispatch between hydropower and variable renewable energy sources.
In this context, the main task of the PhD candidate in the doctoral work will be two-fold. First, to integrate machine learning techniques in different stages of hydropower scheduling models and define comprehensive coupling principles between the strategic and operational modelling. Second, to develop a prototype for fundamental hydropower scheduling that allows modelling of RES on a detailed time scale.
Main supervisor: Associate Professor Jayaprakash Rajasekharan (NTNU).
Co-supervisor: Professor Hossein Farahmand (NTNU).
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
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 491.200 NOK/year (equal to approx. 49.000 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. You will report to Head of the Department
We look forward to welcome you to the PERSEUS team.
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
You will report to the head of Department.
Duties of the position
- Candidate will work together with an international project consortium, and therefore good interpersonal skills and the ability to work in a complex, international project team is expected
- The candidate is expected to work towards combining knowledge in hydropower scheduling, machine learning and data analytics
- Publishing the results in scientific journals and conferences
- 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.
How to Apply?
Application Method: Online Application
Ref. No.: 2022/10487
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 (both Bachelor and Master’s degree) 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.
- 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.
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. Incomplete applications will not be assessed.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
About the Department
Department of Electric Power Engineering
The Department of Electric Power Engineering is one of the seven departments at the Faculty of Information Technology and Electrical Engineering. Our department is Norway’s leading in the field, and our vision is to be at the centre of the digital, green shift. We have excellent collaboration with business and industry as well as other universities and research organizations internationally. This gives us outstanding opportunities for interdisciplinary research with high relevance for the society, addressing industrial needs and global challenges.
- 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
Salary and conditions
PhD candidates are remunerated in code 1017 and are normally remunerated at gross from NOK 491 200 per annum, 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 [subject area] (Link to website, if applicable) 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.
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.
In accordance with The Public Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2022/10487 when applying.
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If you have any questions about the position, please contact Associate Prof. Jayaprakash Rajasekharan ([email protected]). If you have any questions about the recruitment process, please contact Bodil Wold ([email protected]).
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