Ledig stilling ved Høgskulen på Vestlandet
PhD Research Fellow in Data Analytics for Smart Grid and Smart City Applications
Deadline 31.03.2019
About the PhD position:
The Department of Computing, Mathematics and Physics / Department of Electrical Engineering at Western Norway University of Applied Sciences has a vacancy for a PhD research fellow in machine learning and data analytics for Smart Grid and Smart City Applications for a period of 4 years.
The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (http://ict.hvl.no). The research programme in Computer Science currently includes 20 professors and associate professors, 25 PhD and post-doctoral research fellows, and a large number of master’s students.
About the PhD Project:
Today, the technology has advanced a lot when it comes to sensors, actuators, and internet. All these technologies have created a significant possibility of creating a smart system: collecting data, analyzing the data, and act on it. Never before have we been able to put systems together such as today. However, this creates a vast amount of data. How to deal with all this data has become a new field in itself. It is essential to understand the data collected, to make the overall system smarter.
This PhD research project contributes to the basic science and engineering with using machine learning, deep learning, and control theories for heterogeneous socio-technical data fusion especially for electricity networks. The outcome of the research will be decision support tools for city governments to support smarter and more connected communities.
Research environment
The computer science research environment at Western Norway University of Applied Sciences (HVL) has a strong focus on use-inspired and applied research, and on ICT as an enabling technology. The research environment has cooperation with many national and international research groups, and with national and regional industry partners. The research programme includes the research themes of software engineering, engineering computing, communication systems and sensor networks, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students in the intersection of power systems, electrical engineering, engineering computing, and machine learning.
Qualifications:
The PhD research fellow must hold a master's degree computer science, or in control engineering, information engineering, electrical engineering (or a closely related field) with a strong emphasis on computing. Candidates who have submitted a master’s thesis (but who has not yet been awarded a master’s degree) may also qualify for the position provided that the master`s degree is awarded within 4 weeks after the application deadline.
A solid background in control theory, system identification, estimation, and machine learning, with practical programming skills (e.g. Matlab, R, Python, etc) will be considered an advantage when candidates are ranked. Knowledge in any area of power system and electricity demand efficiency & estimation will be considered a plus. In addition to the required educational background, publications and research experience are considered in the assessment process.
In addition to the required educational background, the following criteria will be evaluated: competence and grades on completed course work, quality of the master's thesis (excellent grade, equivalent of grade B or better on the ECTS grading system), publications (if any), research, teaching experience, and industrial (if any) experience. A possible outline of a research plan for a potential PhD project will also be taken into account.
The candidate must be diligent and display the ability to work independently, supplemented with regular guidance, and is expected to carry out high-quality research and to publish the results in international workshops, conferences, and journals.
The PhD research fellow must enroll in the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing at Western Norway University of Applied Sciences, and must meet the formal admission requirements for admission into the PhD programme. 25% of the 4-year period will be designated to duties such as teaching, development and administrative tasks. The employment period may be reduced if the successful applicant has held previous employment as a research fellow.
The PhD candidate will be assigned two academic supervisor(s) at Western Norway University of Applied Sciences. An application for enrolment should first be submitted after an appointment is made and the supervisor(s) will help with this procedure. The candidate must be enrolled as a PhD student within 3 months from the start of the employment.
Application procedure:
To apply for this position, please use the link “Apply for this job” (“Søk stillingen”).
The applications will be assessed by the information entered in www.jobbnorge.no at the application deadline. The applicants are responsible for ensuring that all the documentation is submitted before the closing date, including the scientific work (up to 15 pieces), complete publication list, certificates and diplomas. If the diplomas, transcripts or other documentation are not in a scandinavian language or English, the applicant must upload the certified transactions himself. If the attachments exceed 15 MB, they must be compressed before uploading or attaching as a link.
The following documentation should be uploaded as an attachment to the online application:
- Master thesis
- Copies of selected academic publications (no more than 15)
- A CV with a complete list of academic publications
- Diplomas and certificates
The applications will be sent electronically to the expert committee. Based on the committee's recommendation, qualified applicants will be invited to an interview. Applications cannot be sent by e-mail or to individuals at Western Norway University of Applied Sciences.
We offer:
- Good occupational pension, insurance and loan schemes from The Norwegian Public Service Pension Fund
- Exciting academic environment with the possibility of competence enhancement and development
- Opportunities for training within the working hours
Initial salaries will be offered at grade 51 (nok 449.400) (code 1017) in the Civil Service pay grade table scale.
There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no/en for more information). The successful applicant must comply with the guidelines that apply to the position at any time.
General information:
The appointment will be made in accordance with the regulations for State employees Law in Norway ("Lov om statens ansatte)". Organizational changes and changes in the duties and responsibilities associated with the position must be expected.
State employment shall reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds.
Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if his/her request is not respected. Applicants may be called in for an interview.
Contacts:
- Associate Professor Reza Arghandeh, phone: +47 55 58 71 95, e-mail: rajo@hvl.no
- Professor Lars Michael Kristensen, phone: +47 55 58 71 64 email: Lars.Michael.Kristensen@hvl.no
- Professor Håvard Helstrup, Coordinator of PhD Program on Computer Science, phone: +47 55 58 75 61,e-mail: havard.Helstrup@hvl.no