Doctoral students in data science and applied artificial intelligence - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Information and communication technology

Position 1:  Machine and deep learning for graphs

The PhD project aims at advancing the state-of-the-art within Graph Neural Networks (GNNs), which generate low-dimensional representations of graphs, and are used for tasks such as link prediction and node classification, within e.g. social and biological networks.

Position 2: Machine and deep learning for natural language and sequence data

The PhD project aims to develop deep learning methods, for processing natural language and sequence data, in particular for sequence-to-sequence tasks, e.g., text summarisation.

Position 3: Machine and deep learning for health data

The PhD project aims to advance state-of-the-art machine and deep learning techniques for analyzing  both structured and semi-structured data in electronic health records.

Supervision: The doctoral student will be supervised by: Prof. M. Vazirgiannis and  Prof. H. Boström

What we offer

• The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more
• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
• Help to relocate and be settled in Sweden and at KTH.
• Access to expertise and an active research environment in machine learning/data science at KTH. The PhD students will also be admitted to the national WASP graduate school.

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a degree at advanced level,
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
• in any other way acquired within or outside the country acquired essentially equivalent knowledge.
• Requirements for English equivalent to English B/6, read more here.

The ideal candidate has a degree in computer science, information technology/engineering, applied mathematics or engineering physics, with a relevant specialization.

Selection

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, 
• analyse and work with complex issues and
• apply knowledge in statistical learning, skills in Python programming and scientific writing, to execute research projects.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Target degree: Ph.D.

Information regarding admission and employment

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.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

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/entral 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 (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

For information about processing of personal data in the recruitment process please read here.

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