KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for two PhD positions focused on the theoretical foundations of data storage and analysis. The research group specializes in developing practical computer science algorithms with provable guarantees, leveraging theoretical insights to achieve state-of-the-art practical solutions. Current research interests include randomized algorithms, probabilistic data structures such as data sketches, Bloom filters, and hash functions, as well as the implementation and development of efficient data structures for subroutines in computer science algorithms. The positions are mathematically intensive, with doctoral students expected to devote significant effort to the theoretical analysis of algorithms. Multiple research directions are possible and will be determined in collaboration with the selected candidates. The successful applicants will be supervised by Professor Aristides Gionis and Assistant Professor Ioana-Oriana Bercea, both recognized for their expertise in algorithms and data analysis. As a PhD student at KTH, you will join a dynamic, international research environment with opportunities for collaboration with industry and leading universities worldwide. The positions are fully funded, offering a monthly salary according to KTH's doctoral student agreement, along with comprehensive employment benefits and social security as per Swedish regulations. The employment is full-time for up to four years, with the possibility of limited teaching or administrative duties (up to 20%). Eligibility and Requirements: Applicants must hold, or be close to completing, a master's degree (or equivalent) in computer science, mathematics, electrical engineering, or technical physics with a theoretical focus. A minimum of 240 ECTS credits, including at least 60 at the advanced level, is required. Candidates must demonstrate a strong background and passionate interest in algorithm design and mathematics, particularly in probability and optimization, and present an outstanding academic record. Proficiency in English (spoken and written) equivalent to English B/6 is mandatory. Participation in International Mathematical or Informatics Olympiads is considered a merit. Personal qualities such as independence, collaboration skills, professionalism, and the ability to analyze and address complex issues are highly valued. Application Process: Applications must be submitted via the KTH recruitment system. Required documents include a CV, cover letter (max 2 pages), degree certificates, transcripts, proof of English proficiency, and representative publications or technical reports. All documents not in English or Swedish must be translated and certified. The application deadline is November 27, 2025. KTH is committed to equality, diversity, and providing a creative and supportive work environment. Join KTH to contribute to cutting-edge research and innovation in computer science and mathematics.

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for two doctoral student positions in the theoretical foundations of data storage and analysis. The research group focuses on developing algorithms and data structures with provable guarantees, leveraging theoretical insights to create state-of-the-art practical algorithms. Current research interests include randomized algorithms, probabilistic data structures such as data sketches, Bloom filters, and hash functions, as well as efficient data structures for subroutines in data science algorithms. The positions are mathematically intensive, with significant emphasis on theoretical analysis of algorithms. The direction of each project will be determined in collaboration with the selected PhD candidates, allowing for flexibility and alignment with the students' interests and strengths. Supervision will be provided by Professor Aristides Gionis and Assistant Professor Ioana-Oriana. The program offers a dynamic and international research environment, opportunities for collaboration with industry and leading universities worldwide, and a monthly salary in accordance with KTH's doctoral student salary agreement. Applicants must have a master's degree or equivalent, a strong background in algorithm design and mathematics (especially probability and optimization), and an excellent academic record. Proficiency in English (oral and written) is required, with English B/6 or equivalent. Suitable backgrounds include computer science, mathematics, electrical engineering, or technical physics with a theoretical focus. Participation in International Mathematical Olympiads or International Olympiads in Informatics is considered an asset. The positions are full-time, temporary, and extend up to four years, with the possibility of renewal. Applications must be submitted through KTH's recruitment system and include a CV, application letter, certified copies of diplomas and grades, proof of language requirements, and representative publications or technical reports. The application deadline is November 27, 2025. KTH is committed to equality, diversity, and providing a creative and supportive environment for all employees.

KTH Royal Institute of Technology invites applications for a doctoral student position in machine learning, supervised by Professor Aristides Gionis. The research team is dedicated to advancing novel methods for extracting knowledge from data, modeling large-scale complex systems, and exploring innovative applications in data science. Key research areas include models and algorithms for knowledge discovery, algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, and issues of fairness, accountability, and transparency in learning systems. The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest research initiative in artificial intelligence and autonomous systems. WASP aims to foster excellence in AI, autonomous systems, and software, supporting Swedish industry through strategic research, education, and faculty recruitment. The program focuses on intelligent systems that collaborate with humans and adapt to their environment using sensors, information, and knowledge. Applicants must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related field. Eligibility requires a second cycle degree or at least 240 higher education credits (with at least 60 at the second-cycle level), or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Candidates should demonstrate strong academic credentials, a solid background in algorithms design, machine learning, and optimization, as well as robust programming and implementation skills. Personal attributes such as goal orientation, perseverance, independence, collaboration, professionalism, and analytical ability are highly valued during the selection process. The doctoral student will be employed full-time for up to four years, with the possibility of renewal. Employment includes a monthly salary according to KTH's doctoral student salary agreement, a workplace with employee benefits, and opportunities for professional development. The position is based in Stockholm, Sweden, and offers a creative and dynamic environment at one of Europe's leading technical universities. To apply, candidates must submit a complete application through KTH's recruitment system by the deadline of March 5, 2026. Required documents include a CV, application letter (maximum 2 pages), diplomas, grades, certificates of language requirements, and representative publications or technical reports. Certified translations are required if documents are not in English or Swedish. For further information, contact Professor Aristides Gionis at [email protected] or HR Anna Olanås Jansson at [email protected]. KTH is committed to equality, diversity, and equal opportunities, which are integral to its core values. Join a vibrant academic community shaping the future through education, research, and innovation.

This fully funded doctoral position at KTH Royal Institute of Technology offers an exciting opportunity to pursue a joint PhD degree in models, algorithms, and optimization for machine learning, in collaboration with Nanyang Technological University (NTU), Singapore. The successful candidate will be formally enrolled at KTH and will spend at least 12 months at NTU as part of the joint program, benefiting from supervision by Professor Aristides Gionis (KTH), Associate Professor Kelly Ke Yiping (NTU), and Assistant Professor Sebastian Dalleiger (KTH). The research project is broadly situated within computer science, focusing on advanced machine learning topics such as algorithmic knowledge discovery, graph mining, social network analysis, optimization for machine learning, representation learning, and fair, accountable, and transparent machine learning. The position is ideal for candidates with a strong interest in computational sciences, applied mathematics, and statistics, and who are eager to contribute to cutting-edge research in these areas. Applicants must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related field. Alternatively, candidates may qualify with at least 240 higher education credits, including 60 at the second-cycle level, or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. The selection process emphasizes academic excellence, strong background in algorithms, machine learning, optimization, programming skills, and personal attributes such as goal orientation, perseverance, independence, collaboration, and professional approach. The position is fully funded, offering a monthly salary according to KTH’s doctoral student salary agreement, along with employee benefits and a supportive workplace environment. The employment is temporary, full-time, and may be renewed according to KTH regulations. The doctoral student will have access to a creative and dynamic research environment, with opportunities for professional growth and development. To apply, candidates must submit their application through KTH's recruitment system, ensuring all required documents are included: CV, application letter, diplomas, grades, certificates of language requirements, and representative publications or technical reports. Applications must be received by the deadline of March 5, 2026. For further information, contact Professor Aristides Gionis ([email protected]). KTH Royal Institute of Technology is a leading international technical university, committed to advancing education, research, and innovation for a sustainable society. The university values equality, diversity, and equal opportunities, providing an inclusive environment for all students and staff.