Doctoral training for PhD students in computer science at Paris-Dauphine

It's mandatory that you:

consult your email account "@dauphine.psl.eu" or "@dauphine.eu" because we use this address to contact you

belong to the mailing list doctorants.lamsade@groupes.dauphine.fr maintained by Olivier Rouyer and me

complete your doctoral training every year. You have to devote 27 hours per year to your doctoral training (at least one course per year, and possibly complementary activities in order to reach the quota).

follow a course on scientific integrity (once during your PhD), see here for 2023-24, or a mooc like this one or this one or this one, if nothing is available at Dauphine or PSL

give a talk at the PhD seminar (at least once during your PhD, preferably during the second year. A second talk may be necessary if you go for a 4th year or more)

attend the PhD seminar (all sessions!)

do your CSI (comité de suivi individuel) every year

organize a pre-defense before the defense (once during your PhD, and no later than three months before the defense) and use this document

You're strongly encouraged to:

maintain a professional webpage on the website of LAMSADE (contact Olivier Rouyer if you don't have one). Please add a picture on your LAMSADE webpage, see the instructions here.

subscribe to scientific mailing lists to be aware of possible opportunities like conferences, schools, seminars, job offers (e.g. ATER, post-doc). Examples: DMANET, COMSOC, GDR-IM, GDR-ROD, GDR-RADIA, GDR-MADICS... If you know other interesting mailing lists (topics related to PhD theses at LAMSADE), then share the information with me and I'll put it on this webpage

discuss with any person from LAMSADE if you are encountering difficulties. My door is open. In case you want some help from someone outside LAMSADE, feel free to contact Anaëlle Wilczynski

belong to a scientific association like SIF, AFIA, ROADEF...

Academic year 2024-2025

10/11/24: Kick-off meeting in room A409

Courses

Complexity analysis in optimization (syllabus) by Clément W. Royer, 18 hours at Paris-Dauphine. The temptative schedule is January/February 2025

You can take an optional course from the Master MODO (usually 15 hours per course) or the Master IASD (usually 24 hours per course). Be careful, we need to know if the optional course opens and if there is room for auditors.

You are allowed to follow courses from other Masters (e.g., Peace Studies, MASH, MPRI, MVA, Statml). Please contact the persons in charge of the Master to ask if you can follow a course as an auditor.

PSL week, Intensive weeks, etc.

Complementary activities

There are many opportunities to reach the required 27 hours in addition to your course. The following list is non-exhaustive. If you know other interesting opportunities (regular seminars, summer schools, online courses, etc) then share the information with me and I'll put it on this webpage.

You can participate in a (winter/spring/summer or autumn) school (it's highly recommended to follow one school during the PhD). For example this can be EUROYoung (Mini)PhD School on Planetary Wellbeing, Computational Optimization at Work, XIHO24, Machine Learning and Advanced Statistics Summer School, EURO PhD School on Multiple Criteria Decision Making, Behavioural OR Summer School, Discover Generative AI, Autumn School on Constrained Optimization and Machine Learning, Optimization of Transportation and Logistics under Uncertainty, Australasian Summer School: Recent Trends in Algorithms, European Summer School on AI, Intelligence Artificielle et Démocratie (IA2), Graph drawing 2024, Probability in Computer Science (PICS) 2024, Winter School and Workshop on Polytopes, XX Summer School in Discrete Mathematics, Logic Summer School, ESIA 2025, Swiss Winter School on Theoretical Computer Science, Lisbon Blockchain Winter School, Winter School on Al and TCS, Brazilian School of Combinatorics...

LAMSADE seminars: see here and here

PSL Doctoral Training

Courses at the Collège de France

Regular seminars like Game Theory at IHP

Journées Franciliennes de la Recherche Opérationelle

Foundations of Fairness and Accountability

OSGAD (Ordered Structures in Games and Decision)

MDOD seminars (ask Alexandre Skoda for being included in the mailing list)

Online seminars such as Online Social Choice and Welfare Seminar Series

Seminars of the GDR RADIA

Courses from the library

Keynotes and tutorials of conferences that you have attended

If you want, you can include the mandatory course on scientific integrity as a complementary activity

1 talk or seminar ≈ 1 hour.

PhD Seminar

The first PhD seminar will be in winter. Every PhD seminar is scheduled on thursday, starting at 10:15.

January 30, 2025, Room P428: Camille Richer (title tba) and Thibault De Surrel De Saint Julien (title tba)

February 6, 2025, Room P428: Henrik Abgaryan (title tba) and Belén Alastruey Lasheras (title tba)

February 13, 2025, Room P428: Christos Tsoufis (title tba) and Erwan Fagnou (title tba)

March 13, 2025, Room P428: Kunhao Zheng (title tba) and Felix Herron (title tba)

March 27, 2025, Room P428: Jiaxin Yuan (title tba) and Jean Bertholat (title tba)

April 10, 2025, Room P428: Bochra Kader (title tba) and Ahmad Qadeib Alban (title tba)

May 15, 2025, Room P428: Noémie Bossut (title tba) and Killian Susini (title tba)

Academic year 2023-2024 (over)

10/12/23: Kick-off meeting in room A701

Courses (over)

Deeptech Entrepreneurship (syllabus) by Céline Beji, 6 hours at Paris-Dauphine. The temptative schedule is Thursday May 30 and June 5 from 13:45 to 17:00 (2 sessions of 3 hours). Room B203.

Probability and Entropy Compression in discrete mathematics (syllabus) by Ararat Harutyunyan, 18 hours at Paris-Dauphine. The schedule is January 12 from 10:15 to 13:30 Room D203, January 19 from 10:15 to 13:30 Room D203, January 26 from 10:15 to 13:30 Room D203, February 02 from 10:15 to 13:30 Room D308, February 09 from 10:15 to 13:30 Room B103, and February 16 from 10:15 to 13:30 Room D308.

You can take an optional course from the Master MODO (usually 15 hours per course) or the Master IASD (usually 24 hours per course). Be careful, we need to know if the optional course opens and if there is room for auditors.

You are allowed to follow courses from other Masters (e.g., Peace Studies, MASH, MPRI, MVA, Statml). Please contact the persons in charge of the Master to ask if you can follow a course as an auditor.

PSL week, Intensive weeks, etc.

Complementary activities (over)

There are many opportunities to reach the required 27 hours in addition to your course. The following list is non-exhaustive. If you know other interesting opportunities (regular seminars, summer schools, online courses, etc) then share the information with me and I'll put it on this webpage.

You can participate in a (winter/spring/summer or autumn) school (it's highly recommended to follow one school during the PhD). For example this can be Institut d'Automne en Intelligence Artificielle, Structural Graph Theory Bootcamp, Safe Autonomous Systems, School on Causality, Reasoning Web Summer School, Data Science Meets Combinatorial Optimisation, Summer school on Algorithm Engineering for Network Problems, Udine Summer of Logic and Computation, Mathematical Optimization For Machine Learning, Practice and Theory of Distributed Computing, 10th Winter School on Network Optimization, XIX Summer School in Discrete Mathematics, E-EGC, EPIT 2024, Graphadon, Sound and fury of modeling, Winter School on Al and TCS, ISCO School, GAIMSS, Robust Optimization, OLISSIPO, Czech Summer School on Discrete Mathematics, Summer School on Artificial Intelligence, ACP Winter School, Copenhagen School of Stochastic Programming, EUROYoung (Mini)PhD School on Planetary Wellbeing, Computational Optimization at Work, MOVEP'24, EINS, ESQuisses, Summer course on algorithmic game theory and fair division, Machine Learning and Advanced Statistics Summer School, Summer School on Verification Technology, Systems and Applications, XIHO24, ADYN, AI for Industry 4.0, Ecole Jeunes Chercheuses et Jeunes Chercheurs en Programmation, EJCIM 2024, 16th Machine Learning and Advanced Statistics Summer School, EURO PhD School on Multiple Criteria Decision Making, Behavioural OR Summer School, Max Planck Advanced Course on the Foundations of Computer Science (Algorithmic Game Theory), Discover Generative AI, Autumn School on Constrained Optimization and Machine Learning, ARTISAN 2024, Deep Learning School 2024, Random quantum channels, Hi! Paris 2024, Optimization of Transportation and Logistics under Uncertainty, Australasian Summer School: Recent Trends in Algorithms, European Summer School on AI, Intelligence Artificielle et Démocratie (IA2), Graph drawing 2024...

LAMSADE seminars: see here and here

Interdisciplinary Seminar 'Algorithms and Society' organized by Alexis Tsoukiàs and Thierry Kirat: First seminar (10/26/23)

PSL Doctoral Training

Courses at the Collège de France

Regular seminars like Game Theory at IHP

Journées Franciliennes de la Recherche Opérationelle

MDOD seminars (ask Alexandre Skoda for being included in the mailing list)

16th OSGAD seminar

Online seminars such as Online Social Choice and Welfare Seminar Series

Seminars of the GDR RADIA

Keynotes and tutorials of conferences that you have attended

If you want, you can include the mandatory course on scientific integrity as a complementary activity

1 talk or seminar ≈ 1 hour.

PhD Seminar (over)

PhD Seminars are on thursday, starting at 10:15.

January 11, 2024, Room B428: Sofia Vazquez Alferez (On the complexity of optimal attacks to reduce the density of the densest subgraph in a graph) pic1 and Manolis Vasilakis (Structural Parameterizations and the Price of Generality) pic2 pic3

January 25, 2024, Room B428: Houria Braikia (Random Forest Classifier for Marine Biodiversity Analysis) pic1 pic2 and Marin François (Context Aware Risk Prioritisation) pic3 pic4

February 29, 2024, Room B428: Emma Caizergues (Exact enumeration of graphs and bipartite graphs with degree constraints) pic1 and Megi Dervishi (WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models) pic2 pic3 pic4

March 28, 2024, Room B428: Sarra Tajouri (A subjective approach to fairness in algorithmic decision-support) pic1 and Roxane Cohen (Obfuscation analysis for reverse-engineering using ML) pic2 pic3

April 25, 2024, Room D305: Ilana Sebag (Differentially Private Gradient Flow based on the Sliced Wasserstein Distance) pic1 and Felix Fritz (Desirability in Social Ranking Solutions) pic2 pic3

May 16, 2024, Room D204: Noé Lallouet (Optimizing the trade-off between complexity and performance for neural network-based radar target detectors) pic1 and Florian Le Bronnec (Investigating State-Space Models for Conditional Generation) pic2

May 30, 2024, Room A411: Matthieu Hervouin (Classification Aggregation) pic1 and Shuhui Wang (Active Learning for Accelerating the Discovery of Synergistic Drug Combinations) pic2 pic3

June 13, 2024, Room A411: Gil Puig I Surroca (Colouring oriented graphs) pic1 and Lotfi Kobrosly (Investigating Nested Monte Carlo Tree Search and Nested Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem) pic2 pic3

June 27, 2024, Room A411: Yinglei Han (Massive Data Analysis of Careers in the Corporations) pic1 and Louis-Henri Fernandez Mouron (Deep Neural Network Models for Maxwell's Equations in Optics Applied to Metasurfaces) pic2 pic3

Please send me the title and abstract of your talk at least 2 weeks in advance. A talk is between 30 and 40 minutes, in English, with slides, followed by questions of the attendees.

CSI (over)

Read this on how to prepare your CSI in computer science at Dauphine. We use two documents: Volet 1 and Volet 2.

1srt year PhD students (started in fall 2023)

2nd year PhD students (started in fall 2022)

3rd year PhD students (started in fall 2021)

4th year PhD students (started in fall 2020)

Academic year 2022-2023 (over)

10/13/22: Kick-off meeting

Courses (over)

Interacting criteria in MultiCriteria Decision Making (syllabus) by Brice Mayag, 18 hours at Paris-Dauphine. The schedule is here.

You can take an optional course from the Master MODO (usually 15 hours per course) or the Master IASD (usually 24 hours per course, see the planning here). Be careful, we need to know if the optional course opens and if there is room for auditors.

You are allowed to follow courses from other Masters (e.g., Peace Studies, MASH, MPRI, MVA, Statml). Please contact the persons in charge of the Master to ask if you can follow a course as an auditor.

PSL week, Intensive weeks, etc.

Please inform me in advance on which courses you take. Ask the teacher for a certificate of attentance (blank certificates are available on Adum).

Follow a course in its entirety, even if you exceed slightly your quota.

Complementary activities (over)

There are many opportunities to reach the required 27 hours in addition to your course. The following list is non-exhaustive. If you know other interesting opportunities (regular seminars, summer schools, online courses, etc) then share the information with me and I'll put it on this webpage.

You can participate in a (winter/spring/summer or autumn) school (it's highly recommended to follow one school during the PhD). For example this can be Institut d'Automne en Intelligence Artificielle, Winter School on Operations Research, XVlll Summer School in Discrete Mathematics, Responsabilité des algorithmes : Enjeux Sociétaux et Environnementaux, Discrete mathematics and logic, easss23, Multi-Robot Systems, MicroandBig2023, Summer school on COMSOC, Ecole Jeunes Chercheurs, Jeunes Chercheuses en Informatique Mathématique, PhD Summer School in Discrete Mathematics, Summer School on Automatic Algorithm Design, Graph Structure and Complex Network Analysis, Spring School on Causality, EPIT 2023, Modélisation Formelle de Réseaux de Régulation Biologique, 23rd European Agent Systems Summer School, DeepLearn 2023, Structural Graph Theory Bootcamp, Combinatorial Pattern Matching, BigDat 2023, Hi Paris, Safe Autonomous Systems, School on Causality, ESSAI, Machine Learning and Advanced Statistics, artisan2023, Ecole d'Automne IA2, Safe and Trusted AI, Summer School on Algorithmic Game Theory, Summer School on Verification Technology, Systems and Applications, ADFOCS, Reasoning Web Summer School, Data Science Meets Combinatorial Optimisation, Summer school on Algorithm Engineering for Network Problems, Udine Summer of Logic and Computation, Mathematical Optimization For Machine Learning, Practice and Theory of Distributed Computing...

LAMSADE seminars: see here and here

Interdisciplinary Seminar 'Algorithms and Society' organized by Alexis Tsoukiàs and Thierry Kirat

PSL Doctoral Training

Courses at the Collège de France

Regular seminars like Game Theory at IHP

Journées Franciliennes de la Recherche Opérationelle

MDOD seminars (ask Alexandre Skoda for being included in the mailing list)

Online seminars such as Online Social Choice and Welfare Seminar Series

Seminars of the GDR RADIA

Keynotes and tutorials of conferences that you have attended

1 talk or seminar ≈ 1 hour.

PhD Seminar (over)

PhD Seminars are on thursday, starting at 10:15.

December 15, 2022, Room A401: Jérome Arjonilla (Depth-Limited Reasoning with Perfect Information Monte Carlo) pic1 and Maxime Reynouard (Solving the Verifier’s dilemma in quorum-based blockchain consensus: A game theory approach) pic2, pic3.

January 19, 2023: Louise Dupuis (Opinion Diffusion using Scientific Argumentation) pic1 and Théo Delemazure (Approval with Runoff), pic2. Online because of the strike, pic3.

February 16, 2023: Yassine Mejri (Experimental evaluation of similarity indices about the MIA molecular family) and Lucas Gnecco Heredia (Understanding the relation between randomization and robustness to adversarial attacks). pic1, pic2, Room A302

March 16, 2023: Skander Ghazzai (Portfolio Map Detection for Early Warning of Weak Signals in Safety Management) pic1, pic2, and Ariane Ravier (Social ranking under incomplete knowledge: elicitating a winner) pic1, pic2, Room A302

April 13, 2023: Postponed

May 25, 2023: Virginia Ardévol Martinez (From interval graphs to unit multiple interval graphs) pic1 pic2 and Sébastien Kerleau (Understanding PkSSs) pic3. Room A302

June 15, 2023: Milo Roucairol (Structure generation with Monte Carlo Tree Search) pic1, Blaise Delattre (Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration) pic2 and Wissam Gherissi (Object-centric predictive process monitoring) pic3. pic4 Room A302

Please send me the title and abstract of your talk at least 2 weeks in advance. A talk is between 30 and 40 minutes, in English, with slides, followed by questions of the attendees.

CSI (over)

The general purpose of the CSI (comité suivi individuel) is explained here. We use two documents: Volet 1 and Volet 2. Read this on how to proceed for your CSI in computer science at Dauphine.

June 7 or 14 for 1srt year PhD students (started in fall 2022). Committee: Gabriella Pigozzi, Florian Sikora and Yann Chevaleyre. Room A701.

June 20 for 2nd year PhD students (started in fall 2021). Committee: Dario Colazzo, Virginie Gabrel and Juliette Rouchier. Room A701.

June 30 for 3rd year PhD students (started in fall 2020). Committee: Olivier Cailloux, Maude Manouvrier and Cécile Murat. Room A701.

June 23 for 4th year PhD students (started in fall 2019). Committee: Lucie Galand, Eun Jung Kim and Dario Colazzo. On Teams.

Academic year 2021-2022 (over)

Courses (over)

For the academic year 2021-2022, the courses that are available are:

Algorithms and Bioinformatics (syllabus) by Laurent Bulteau and Mathias Weller, 18 hours at Paris-Dauphine. The schedule is: January 6 (Room C108), January 10 (Room B026, January 20 (Room C110), January 27 (Room C129), February 3 (Room B026), February 10 (Room C110), from 13:45 to 17:00.

Randomized Algorithms (syllabus) by Ararat Harutyunyan and Michail Lampis, 18 hours at Paris-Dauphine. The schedule is: March 31 (Room B102), April 7 (Room B328), April 14 (Room B107), April 20 (Room A 403, May 12 (Room B102), May 19 (Room B102), from 13:45 to 17:00.

You can take an optional course from the Master MODO (usually 15 hours per course): This year the open optional courses are: Théorie de la décision (L. Galand), Optimisation multiobjectifs (D. Vanderpooten), Robustesse en Recherche Opérationnelle (H. Aissi), Théorie de la décision et choix social computationnel (S. Airiau), Théorie et pratique de l'ordonnancement (A. Rossi), Théorie de la complexité (M. Lampis), and Jeux algorithmiques (A. Fanelli and L. Gourvès).

You can take an optional course from the Master IASD (usually 24 hours per course). Be careful, we need to know if the optional course opens and if there is room for auditors.

You are allowed to follow courses from other Masters (e.g., Peace Studies, MASH, MPRI, MVA, Statml). Please contact the persons in charge of the Master to ask if you can follow a course as an auditor.

You can register to this PSL week or any other upcoming event of this type proposed by PSL, such as this one.

Please inform me in advance on which courses you take. Ask the teacher for a certificate of attentance (blank certificates are available on Adum). You can double check the schedule of the courses Randomized Algorithms and Algorithms and Bioinformatics on ADE, see Evenements/ECOLES DOCTORALES/Gr Doctorant Info.

Follow a course in its entirety, even if you exceed slightly your quota.

Complementary activities (over)

There are many opportunities to reach the required 27 hours in addition to your course:

You can participate in a (winter/spring/summer or autumn) school (it's highly recommended to follow one school during the PhD). For example this can be Data Science, Optimization and Operations Research, Ecole jeunes chercheurs du GDR RO 2021, Logic and Interactions 2022, Machine Learning Summer Schools, P.A.I.S.S., Discrete Math, AI4health, CIMPA, Prague Summer School on Discrete Mathematics, Hausdorff School Algorithmic Data Analysis, Data Driven Decision Making and Optimization, Quantum Computing, Foundations of Computing Science, Geometric methods in combinatorics, School on Data and Knowledge, ISCO Spring School, stochastic methods in quantum mechanics, IPCO Summer School, EJCIM2022, Ecole thématique Masses de Données 2022, ECOSIA2022, Modern Trends in Combinatorial Optimization, School on Graph Theory 2022, Hi! PARIS Summer School 2022, IDESSAI 2022, Algebraic combinatorics Krakow 2022, ARTISAN2022, CYBER IN NANCY, TRR154 (online), Algorithms Dynamics and Information Flow in Networks, Summer School on Game Theory and Social Choice, Institut d'Automne en Intelligence Artificielle, Summer School on Operations Research and Algorithms, Winter School on Operations Research ...

LAMSADE seminars: see here and here

PSL Doctoral Training

Courses at the Collège de France

Regular seminars like Game Theory at IHP

Journées Franciliennes de la Recherche Opérationelle

MDOD seminars (ask Alexandre Skoda for being included in the mailing list)

Online seminars such as Online Social Choice and Welfare Seminar Series

Seminars of the GDR IA

Keynotes and tutorials of conferences that you have attended

1 talk or seminar ≈ 1 hour.

If you know other interesting opportunities (regular seminars, summer schools, online courses, etc) then share the information with me and I'll put it on this webpage.

PhD Seminar (over)

PhD Seminars are on thursday, starting at 10:15. The speakers are (mostly 2nd year of the PhD):

December 2 2021 : Virginie Do. Room AR 52 53. Fairness in rankings via Lorenz dominance. pic

December 9 2021 : Raphael Ettedgui. Room C131. Extending randomised smoothing as a defense against adversarial examples. pic1 pic2

December 16 2021 : Isma Bentoumi. Room C131. On the Maximum Flow Blocker Problem. pic1 pic2

January 6 2022 : Baptiste Roziere. Room C131. Machine Learning for Programming Languages. pic1 pic2

January 13 2022 : Jinfeng Zhong. Room P518. Context-aware explanations in recommender systems. pic1 pic2

January 20 2022 : Alexandre Verine. Room P518. Expressivity of Normalizing Flows. pic1 pic2

January 27 2022 : Guillaume Prévost. Room P518. Planning in real-time: Reducing complexity for scaling up. pic1 pic2

February 3 2022 : Walid Bendada. Room P518. Large scale automatic playlist continuation. pic1 pic2

February 24 2022 : Scarlett Tannous. Room B309. How could the effectiveness of major industrial risk prevention policies be assessed? A multidisciplinary challenge. pic1 pic2

March 10 2022 : Marie Humbert-Ropers. Room P518. Representation of the set of non-dominated points in multi-objective optimization. pic1 pic2

March 17 2022 : Chen Dang. Room P518. Monte Carlo Search Algorithms for Network Traffic Engineering. pic1 pic2

March 24 2022 : Laurent Meunier. C108. A Theoretical Approach to Adversarial Robustness. pic1 pic2

April 7 2022 : Berkay Tosunlu. Room P518. Cognitive Maps and Value Trees in Conflict Transformation and Management and Munyque Mittelmann Logic-based Automated Mechanism Design pic1 pic2 pic3

May 5 2022 : date changed for June 16

May 12 2022 : Boris Doux. Room P518. Deep Reinforcement Learning for puzzle. pic1 pic2

May 19 2022 : date changed for June 2

June 2 2022 : Paul Alain Kaldjob. Necessary and possible interaction between criteria in a Choquet integral model and Lyes Attouche Example generation for JSON Schema. Room P518. pic1 pic2 pic3

June 9 2022 : Anca Rusu. Room B304. Responsible communication of emerging technologies: A look at how governmental representatives at the European level communicate about the use of AI. pic1 pic2

June 16 2022 : Iskander Legheraba. Room P518 The optimization landscape of NeuralODE. pic1 pic2

Please send me the title and abstract of your talk at least 2 weeks in advance. A talk is between 30 and 40 minutes, in English, with slides, followed by questions of the attendees.

You can double check the room of the seminar on ADE (type my name or Evenement/ECOLES DOCTORALES/Gr Doctorants Info).

June 2022: the PhD seminar is over, many thanks to all the speakers and participants!

CSI (over)

The general purpose of the CSI (previously known as CST) is explained here.

We use two documents: Volet 1 and Volet 2.

Read this on how to proceed for your CSI in computer science at Dauphine.

May 31 2022 for 1st year PhD students (started in fall 2021). Committee: Dario Colazzo, Virginie Gabrel and Juliette Rouchier. Room B413.

June 10 or 15 2022 for 2nd year PhD students (started in fall 2020). Committee: Olivier Cailloux, Maude Manouvrier and Cécile Murat. Room P503 (June 10) and room P507 (June 15)

July 11 2022 for 3rd year PhD students (started in fall 2019). Committee: Dario Colazzo, Lucie Galand and Eunjung Kim. Room P505.

General informations

You can find important informations in this guide (thank you Ariane for this guide!), charte des thèses PSL, rémunération, PSL Welcome desk and site web de l'ED (Règlement intérieur + prévention des violences), see here in particular when you want to defend.

The PhD students of LAMSADE have a representative at the conseil de laboratoire (Matthieu Hervouin) and also at the doctoral school (Ariane Ravier). Here is an opportunity if you want to learn the French language. Opportunities for internships during the PhD are listed here.

Internships

Internship at MPI

Internship at CWI

Barrande Fellowship for short-term research visit in the Czech Republic (Manolis verified with Dauphine that the PhD students are eligible for this),

DAAD funding for research visits to Germany

Summer program for Japan by JSPS (Manolis contacted CNRS and apparently it is only for French nationality students, cf document he received)

Canon Foundation Research Fellowship (Japan)

JSPS Short term visit programme (Japan; Manolis does not know if that is possible while on a contrat doctoral)

Ernst Mach Grant, for research visit to Austria (this one cannot be obtained while under a contrat doctoral)

Hall of Fame

Prix de thèse en Intelligence artificielle (AfIA): Gauvain Bourgne (2nd accessit 2009), Abdallah Saffidine (1rst Price ex-aequo 2014), Anaëlle Wilczynski (1rst Price ex-aequo 2019), Virginie Do (1rst Price 2024)

Prix de la Chancellerie: Laurent Meunier (2023)

L’Oréal-UNESCO pour les femmes et la science: Virginie Do (2023)

Prix Jeune Chercheur de la Fondation Dauphine: Anne Morvan (2019), Anaëlle Wilczynski (2019), Rafael Pinot (2021)

Prix de thèse DGA: Anne Morvan (2020)

Outstanding paper award at AAAI 2022 for the article Online certification of preference-based fairness for personalized recommender systems by Virginie Do, Sam Corbett-Davies, Jamal Atif, and Nicolas Usunier

Best student paper at the conference COCOA 2018 for the article Relaxation and Matrix Randomized Rounding for the Maximum Spectral Subgraph Problem by Cristina Bazgan, Paul Beaujean, and Eric Gourdin