PhD Student Position in Big Data Analytics for Decision Making in Electricity Markets - Hiring in process/Finished, not possible to apply

The Department of Automatic Control develops research on the areas of optimization, modelling, identification and control of industrial systems as well as applications in communication, autonomous systems, and system biology. The department staff consists of ca. 60 faculty members, researchers and PhD students who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment. The staff has a multicultural background and the working language is English. The department is internationally well established, has many research collaborations with excellent partners worldwide, and is involved in several European and national projects.

PhD Program in the Digitalization of Electric Power Engineering

During 2016 the School of Electrical Engineering at KTH launches a PhD program in the digitalization of electric power engineering. In connection to this effort we strive to recruit about ten PhD students to work in cross-disciplinary projects motivated by the topic of the PhD program. Common for all positions is that the PhD student will interact with both an ICT group and an Electric Power Engineering group, with corresponding supervision. This will result in a unique research and education effort, where the graduated PhD’s will be highly competitive on the Swedish and international job market.

Project Description

This specific position is associated with the Department of Automatic Control in collaboration with the Department of Electric Power and Energy Systems. The work will be tied to a project in “Big Data Analytics for Confident Decentralized Decision Making in Liberalized Power Markets”.

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data. In big data analysis an important issue is the accuracy, which may lead to more confident decision-making, and better decisions can result in efficient operation and investment decisions and reduced risk.

The modern electricity markets are highly complex systems involving several players. The market players are interacting frequently and they participate in different dynamic markets. Understanding and predicting the market players behaviors is not an easy task. Different mathematical models are proposed in the literature to deal with this issue. The analytical models expand from statistical models to optimization theory and game theoretic analysis. So far, the value of big data analytics has not been explored in analyzing this complex system. In this project the aim is to combine big data analytics techniques with optimization and game theoretic models of power markets, using distributed optimization tools.

Qualifications

The successful applicant is expected to hold or to be about to receive an MSc degree in Electrical Engineering, Engineering Physics, Computer Science, Economics/Finance, Mathematics or equivalent.

The successful applicant should have an outstanding academic track record, and well developed analytical and problem solving skills. Background in machine learning or data analysis, electricity markets and power systems, optimization, or game theory is a plus. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

The application must include:

• CV including your relevant professional experience and knowledge.
• Copy of the degree certificate(s) and transcripts of records from previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
• Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long.
• Representative publications or technical reports: Documents no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text.
• Letters of recommendation to be attached to the application
• Contact information for two reference persons. We reserve the right to contact references only for shortlisted candidates.

Others

The employment is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 4.5 years when 90% PhD studies and 10% department service including teaching).

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.