Doctoral student in machine learning Full-time

Doctoral Student In Machine Learning

School of Electrical Engineering and Computer Science at KTH

We invite applications from talented and highly motivated candidates to pursue a PhD degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis. The research team focuses on developing novel methods to extract knowledge from data, modelling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in learning systems.

Applicants must hold a Master of Science degree by the time of enrollment. Successful candidates should be highly self-motivated and committed to publishing and presenting high-quality research. Solid background in algorithms design, machine learning, and optimization is essential, along with strong programming and implementation skills.

The advertised position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

Supervision: Professor Aristides Gionis is proposed to supervise the doctoral student. Decisions are made on admission.

To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a master's degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to independently pursue his or her work, collaborate with others, have a professional approach and analyze and work with complex issues. Applicants must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related area. Applicants must have strong academic credentials, demonstrated by excellence in course work or relevant projects. After the qualification requirements, great emphasis will be placed on personal skills.

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are 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 doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH's Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden.

Apply for the position and admission through KTH's recruitment system. It is the applicant's responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements: CV including your relevant professional experience and knowledge. Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long) Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements. Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified. Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

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