PhD Research Fellowship in Economic Model Predictive Control Across Different Time Scales
The position’s field of research
The topic of this position is within control and optimization of industrial process systems.
Digitalization is the future of industrial production, which aims to exploit all available data in a process to improve profitability. This development increases the demands on control algorithms significantly and leads to the desire to have algorithms that take into consideration all time scales in a production process, where the different time scales may have different, possibly conflicting, economic objectives. For example, the optimal operation of the current production process may come at the cost of long-term inefficient utilization of raw materials, and one may tolerate some sub-optimality in current production for long-term gains.
Model predictive control (MPC) is the preferred control algorithm for many industrial processes. The topic of this position is a study into efficient formulations and computational frameworks in MPC that can handle different time scales and explore the multiobjective nature of these problems. The study should build upon and extend recent work on economic MPC and propose stable optimizing control strategies that trade off the multiple objectives.
Successful applicants must have a Master degree in engineering cybernetics, control engineering, applied mathematics, process systems engineering, or a related discipline. Applicants should have programming experience (Matlab, Python, …). Applicants are required to justify their candidateship by explicitly explaining their personal motivation and academic aptitude for pursuing a doctoral degree within this research field.
Applicants that expect to complete their Master degree studies by summer 2018 can apply.
Academic results, publications, relevant specialization, work or research experience, personal qualifications, and motivation will be considered when evaluating the applicants.
It is a prerequisite that the PhD scholar applies for and is granted admission to the NTNU PhD studies as soon as possible after employment. NTNUs PhD-rules require a Master degree or equivalent with at least 5 years of studies and an average ECTS grade of A or B within a scale of A-E for passing grades (A best). Applicants must be qualified for admission as PhD students at NTNU. See http://www.ime.ntnu.no/forskning/phd for information about PhD studies at NTNU.
Excellent English skills, written and spoken, are required. Applicants from non-European countries where English is not the official language must present an official language test report. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
- TOEFL: 600 (paper-based test), 92 (Internet-based test)
- IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
- CAE/CPE: grade B or A.
Appointments are made in accordance with the regulations in force regarding terms of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU.
Applicants must undertake to participate in an organized PhD programme of study during their period of employment. The person who is appointed must comply with the conditions that apply at any time to employees in the public sector. In addition, a contract will be signed regarding the period of employment.
The successful candidate will be appointed for a period of 3 years, with possible extension to a fourth year if the candidate and department agrees on teaching related duties.
The position follows code 1017, salary grade 50 - 62 in the Norwegian State salary scale, gross NOK 436 500 - 537 300 per year, depending on qualifications. A deduction of 2% is made as a statutory contribution to the Norwegian Public Service Pension Fund.
NTNU can offer an informal and friendly workplace with dedicated colleagues, academic challenges and attractive schemes for home loans, insurance and pensions in the Norwegian Public Service Pension Fund.
Further details about the position can be obtained from Professor Lars Struen Imsland, e-mail: firstname.lastname@example.org .
The Faculty of Information Technology and Electrical Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background.
Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants.
Applicants are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree.
The application with a CV and certified copies of diplomas and certificates must be sent electronically via this page with information about education and relevant experience (all in one combined PDF file).
Please, mark the application with the reference code IE 036-2018.
Deadline for applications: 1 May 2018.
About this job
- Deadline Tuesday, May 1, 2018
- Employer NTNU - Norwegian University of Science and Technology
- Municipality Trondheim
- Place of service Trondheim
- Jobbnorge ID 149184
- Internal ID 2018/7593
- Scope Fulltime
- Duration Project
- Applications on this job are registered in an electronic form on jobbnorge.no
- You must complete: Standard CV
- Please refer to where you first saw this job advertised!