PhD student in machine learning for integrated resource systems analysis

Project description

Research education subject: Energy and environmental systems

The Department of Energy Systems (dES) within the Division of Energy Technology at KTH has driven the development of energy systems and integrated resource analysis methods to support integrated resource planning in developed and developing countries, through funding from UK Aid, UN and EU. The department is now seeking a PhD student to work on a deeper transformation of the methods by using machine learning, whose contribution will extend across various projects. The student's work will focus on using ML to generate workflows that enable the exploration of uncertainties and broad scenario spaces in large and detailed integrated resource models. This is intended to contribute to modeling that is specifically adapted to the different developed and developing contexts in which the department works. Travel and engagement with authorities and stakeholders in the selected contexts and participation in capacity development activities will be part of the student's regular duties.

Supervision: Francesco Gardumi is proposed to supervise the PhD student. Decision is made upon admission.

Eligibility for admission

To be admitted to doctoral studies (chap 7 39 § of the Higher Education Ordinance) the applicant must have basic eligibility:

a master's degree, or completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits are at the advanced level, or in some other way, within or outside the country, acquired knowledge mainly corresponding to these.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

To succeed in your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. During the selection of applicants, the ability to:

independently drive your work forward, be able to collaborate with others, have a professional approach and analyze and work with complex issues, will be assessed.

You should furthermore have good knowledge of energy technology and integrated resource systems as well as modeling within the field, including data processing and machine learning.

You must be able to engage and collaborate with stakeholders and external partners in Sweden and abroad.

After the eligibility requirements, great importance will be placed on personal qualities.

Target degree: PhD

Information about admission and employment

Only those admitted to doctoral studies may be employed as a PhD student. The total period of employment may not be longer than what corresponds to full-time doctoral education for four years. An employed PhD student may, to a limited extent (at most 20%), perform certain tasks within, e.g., education and administration. A new employment as a PhD student is valid for at most one year; the employment may thereafter be renewed for at most two years at a time. For studies intended to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

As a PhD student, you will benefit from KTH's employment benefits and have a monthly salary according to KTH's agreements for PhD salaries. Read more about Doctoral Studies at KTH | KTH | Sweden.

Union representatives

Contact details for union representatives.

The Doctoral Section (Tekniska högskolans studentkår)

Contact details for the Doctoral Section.

Application

You apply via KTH's recruitment system. As an applicant, you are primarily responsible for ensuring that your application is complete when submitted.

The application shall contain the following:

Copies of degree certificates and transcripts from previous university studies and certificates of fulfilled language requirements (see above). Translations to English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified. CV with relevant professional experience and knowledge. Cover letter with a concise account of why you want to pursue doctoral studies, about your academic interests and how they relate to your previous studies and future goals. (Max 2 pages) Representative publications or technical reports. For longer documents, please attach a summary (abstract) and a web link to the full text.

The application must reach KTH no later than the last application date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Other

For information about the processing of personal data in connection with recruitment.

It may occur that employment at KTH is placed in a security class. If this is the case for this specific employment, a security clearance of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In these cases, a prerequisite for employment is that the applicant is approved after security clearance.

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