PhD in Machine Learning and Optimization

Projektbeskrivning

Postgraduate education topic: Data Logi

KTH now welcomes talented and strong motivated candidates to seek this doctoral position.  The doctoral student will develop new algorithms and well-founded methods, formalize their theoretical grounds and evaluate them experimentally. The research has a broad focus in machine learning and can include algorithmic knowledge recovery, data extraction from graphs and analysis of social networks, optimization for machine learning, representation learning and fair, accountable and transparent machine

This doctoral student in machine learning leads to a common doctorate from KTH (Sweden) and Nanyang Technological University (NTU, Singapore). The person who is hired is assumed to postgraduate education at KTH and spends at least twelve months at NTU within the framework of the program.

Tutorial:Prof. Aristides Gionis (KTH), Sebastian Dalleiger (KTH), Kelly Ke Yiping (NTU)

Eligibility for admission

To be admitted to postgraduate education (Cape 7 39 § The Higher Education Ordinance), the applicant is required to have basic eligibility:

• disposed a degree at advanced level, or
• Fulfilled course claims on at least 240 High school credits, at least 60 High school credits at advanced level, or
• In any other way within or outside the country, equivalent knowledge is mainly acquired.

The candidate must be able to commit a research stay of at least twelve months at NTU in Singapore. This is a requirement for this specific position.

In addition to the above there is also a mandatory requirement in English corresponding to English B / 6.

Selection

To succeed with your doctoral studies on KTH, you need to be targeted and persistent in your work. In selecting the applicants, the ability is assessed to:

• independently pursue his work ahead,
• able to cooperate with others,
• have a professional approach,
• Analyze and work with complex issues.

The applicant must have completed, or be close to the master's degree in data logic, machine learning, AI, computer science or nearby area.

The applicant must have strong academic merits, proved through very good study results or relevant projects.

The applicant should be strongly motivated and possess good knowledge in one or more of the following areas: algorithm design, machine learning, mathematical optimization and learning theory. Furthermore, the applicant should have good programming skills in order to implement algorithms and evaluate their performance.

After the eligibility requirements, great emphasis will be added to personal qualities.

Target degree: Doctoral degree

Information about admission and employment

Only the one who has been adopted to postgraduate education may be employed as a doctoral student. The total employment period may not be longer than that corresponds to education at full-time postgraduate for four years. An employee doctoral student can to a limited extent (at most 20 %) perform certain tasks within eg. education and administration. A new employment as a doctoral student applies for a maximum of one year, the employment may then be renewed by a maximum of two years at a time. In studies to be terminated with a licentiate degree, the total employment time may not be longer than that corresponds to training at a full-time postgraduate for two years.

As a doctoral student, you get part of KTH's employment benefits and has a monthly salary according to KTH's doctoral salary agreement. Read more about research studies at KTH | KTH | Sweden.

Union representatives

Contact information to union representatives.

Doctoral Section (Technical College Student Union)

Contact information to doktorandsektionen.

Application

You apply via KTH's recruitment system. You as applicants have the main responsibility for your application complete when submitted.

The application must have the following content

• Copies of diplomas and grades from previous university studies and certificates of language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of original should be renamed
• CV with relevant professional experiences and knowledge.
• Application letter with a brief account of why you want to pursue research 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 be received by KTH no later than the last application date at midnight, CET / CEST (Central European Time / Central European Summer Time).

Other

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

It may occur that an employment of KTH is located in a safety class. If this is the case for this particular employment, a security review of applicants is made in accordance with the security law (2018: 585) after consent. In these cases, a prerequisite for employment is that applicants will be approved after security testing.

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