Interdisciplinary doctoral programs

Interdisciplinary Doctoral Programs aim to develop and support research areas that go beyond the disciplinary scope of a single doctoral school (DS). In particular, they make it possible to provide an appropriate response to societal issues, which are essentially interdisciplinary in nature, and they support the development of the Sorbonne University's multidisciplinary thematic Institutes. These Programs contribute to the development of a community of young researchers trained in the frontiers of knowledge and disciplines. The doctoral students recruited to these programs are under the aegis of, and monitored by, the doctoral school that their thesis director is affiliated to. They have access to specific courses offered by the doctoral program and, once they graduate, can join any socio-economic sector.
The selection procedure is in two stages

  • pre-selection of doctoral research projects by the Program’s scientific committee. Only projects validated by the doctoral schools are examined by the program. 
  • posting pre-selected projects online. Students’ applications to these projects, the awarding of doctoral contracts after the candidates are heard by a jury of experts.
Interdisciplinary doctoral programs

Artificial intelligence (AI) has entered a new era, driven by the rise of machine learning, the appearance of new algorithms, the exponential increase in computing power and the growing accessibility of varied data sources. AI is no longer just a research program confined to laboratories or to a specific application: it is becoming one of the keys to the world of the future, determining our ability to organise knowledge, give it meaning and increase our decision-making capabilities.

This doctoral program supports research projects in the field of AI in the broadest sense, particularly in the fields of mathematics, computer science, robotics, medicine/health, climate, environment, the universe and digital humanities. Special attention is given to collaborative projects involving a thesis supervisor and a co-supervisor of complementary AI disciplines (fundamental aspects and applications).

Contact / See the 2020 call for projects / See the projects pre-selected in 2020 

The ambition of this Program is to generate innovative research at the interface with life sciences. It is aimed at studies studying at the interface with the life sciences, ranging from fundamental biology to studies bearing on more applied aspects connected to health but upstream of clinical research. To promote synergy between disciplines, thesis co-direction is requested.

Contact / See the 2020 call for projects / See the projects pre-selected in 2020

Process Engineering, at the crossroads of disciplines, brings together knowledge and know-how relating to the industrial transformation of natural or synthetic raw materials into products produced by a succession of operations.

The process engineering doctoral program supports multidisciplinary research projects including a component in the field of process engineering, with a scope ranging from fundamental research to its applications, including technological applications.

There are numerous applications of process engineering, including energy (energy control and conversion, renewable energies); sustainable development (life cycle analysis, risk management); bioprocesses and health; water and waste treatment; food processing; deposits and surface treatments; catalysis.

Contact / See the 2020 call for projects / See the projects pre-selected in 2020

The challenges of research in the field of oncology are polymorphic and focus not only on understanding the processes of carcinogenesis and resistance to specific treatments, but also epidemiological and even societal issues. 

The objective of the doctoral program in Cancerology is to create a synergy between actors of Sorbonne University involved in research, teaching and care of cancer patients. 

The doctoral program aims to support innovative research projects that provide a better understanding of the mechanisms of carcinogenesis and help improve the diagnosis, prognosis, treatment and/or personalised monitoring of patients. To promote synergy between research teams but also between scientific and/or medical disciplines, thesis co-direction will be requested.

Contact / See the 2020 call for projects / See the projects pre-selected in 2020

The faculty of medicine is closed to the public and operates according to a business continuity plan (research, pedagogy, administrative) since Monday, March 16, 2020. The closure of the faculty to the public effectively results in the cancellation of all courses in face-to-face. Research activities and vital administrative activities are maintained, under the conditions specified by the university administration in the Business Continuity Plan. Beyond the end of classroom lessons, university libraries are closed. The situation is constantly changing, staff and students are invited to consult their emails, the university intranet and the FAQ to stay informed.

All users (students and staff) have access to more precise information on a dedicated page:

Formations

Discover our catalogue of courses

Médecine

The Faculty of Medicine teaches the 3 cycles of medical studies: from PASS (integrated into the faculty) to the 3rd cycle including DES, DESC, DU and DIU. The lessons are given mainly on two sites: Pitié-Salpêtrière and Saint-Antoine. The faculty also provides paramedical education: speech therapy, psychomotricity and orthoptics. The Saint-Antoine site includes a midwifery school.

Stydy
in faculty od medecine

One of our riches is the diversity of students and their backgrounds. Sorbonne University is committed to the success of each of its students and offers them a wide range of training as well as support adapted to their profile and their project.

Associative life

One of our riches is the diversity of students and their backgrounds. Sorbonne University is committed to the success of each of its students.

21 393

users

17 527

students

715

Doctors in medecine and research

12

Research centers

Chiffres-clés