38 Computer Science PhD Degree Programs in Europe

The PhD program Computational X promotes interdisciplinary research facilitating the convergence of natural sciences like biology, social sciences and humanities with computational sciences. The program supports junior researchers in developing their abilities to perform independent scientific research.

ISTA is a cross-disciplinary research institution that combines basic science research with graduate education. Our scientists perform theoretical and experimental research in Mathematical and Physical Sciences, Life Sciences, and Information and System Sciences. ISTA is located on the outskirts of Vienna, Austria.

The Computer Science Research Centre welcomes postgraduate students (MPhil/PhD) from a wide range of cross-disciplinary backgrounds to address strategic needs in priority research areas such as Computer Graphics and Visualisations, Smart and Interactive Technologies, Artificial Intelligence, and Information Systems.

Our MPhil/PhD programme in computer science offers you the opportunity to participate fully in the highly interdisciplinary research environment of our department and of the College as a whole.

The PhD program in "Mathematics, Computer Science, Statistics", based in Firenze, is managed by a Consortium among the University of Firenze, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi"-Rome (INdAM). This PhD program inherited the tradition of the pre-existing three separate PhD's in Mathematics, Computer Science, Statistics, and can rely upon the very many, and well established, scientific connections of the involved institutions with Universities and Research Centers in many Countries of the World. The relevant number of offered scholarships allows the achievement of a critical mass of PhD students and activities, which are fundamental for a doctorate with an interdisciplinary character.

The doctoral programme in Computer Science aims to provide students with advanced scientific, methodological and technological knowledge in computer science and related sectors and their corresponding fields of application. This knowledge will prepare students and introduce them to theoretical and applied research, with particular attention to interdisciplinarity and internationalisation, developing research skills so that they are able to produce original independent research of interest to the international scientific community and businesses.

The program focuses on the education of graduates prepared to solve research problems in the sub-area of computer science related to the generation and processing of visual information (computer graphics, image analysis, machine vision) and/or computer games development.

The program prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts. In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem-solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.

The program aims at providing the graduate with the knowledge and research experience in a wide range of fields in discrete mathematics and theoretical computer science, based both on contemporary theoretical trends and on applications in physics, biology and other branches of science. The graduate gains knowledge and experience necessary to contribute to the research and development on an international level and is ready to take a leading role in shaping the trends in these fields.

Offer the students with education in the widest sense of the term, and cultivate the desire for continuous learning, which, in turn, leads to maturity and develops the facilities for independent and critical thinking.

The PhDs in Science and Engineering are consolidated within the Doctoral School of the Institut Polytechnique de Paris which hosts around 900 doctoral students, supervised by more than 800 researchers. Research rely on its 30 high-end laboratories, which offer a very important scientific strike force, demonstrated by their great national and international reputation and the high level of recognition achieved by the most eminent researchers. The Doctoral School of the Institut Polytechnique de Paris offers multidisciplinary doctoral training in six research areas: Computing, Data & Artificial Intelligence; Information, Communications & Electronics; Economics, Management & Social Sciences; Physics; Biology & Chemistry; Mechanical & Energetic Engineering.

Ph.D. track is a five-year integrated Master and Ph.D. Program aimed at high-potential undergraduate students who know from the Master’s level that they wish to commit to a scientific Ph.D. Ph.D. The track offers students a selective and personalized curriculum, training periods at laboratories, and the opportunity to focus gradually on their thesis subject. This pathway provides a springboard for tackling future scientific challenges in research and development centers of companies and major universities. Students can choose from a wide range of research fields such as Computer Science; Data & Artificial Intelligence; Advanced Materials; Life sciences; Chemistry & Interfaces; Electrical Engineering; Physics; Mathematics, Mechanics, etc.

The COS program provides highly interdisciplinary training to educate researchers to use advanced computational and data methodologies to solve complex scientific and engineering problems. It provides a unified approach to modeling, high-performance computing and data science, and artificial intelligence-based approaches. Through modeling, simulation, machine learning, and studying specific phenomena, the program delivers cross-disciplinary knowledge and domain-specific depth in fields like fundamental computational physics, climate modeling, computational fluid dynamics, computational biology, materials science, computational economics, and digital cultural heritage. The program provides the necessary educational setting where excellence in education and research is fostered through interdisciplinary collaboration.

The PhD program in Computer Science offers a flexible and research-focused path for students interested in advancing their knowledge of computing systems, software development, and data analysis. It a...