List of Interships 2022 - 2023
1) Brick wall acoustic meta-material
Professors: Bui Duc Quang (LAGA, Université Sorbonne Paris Nord, bui@math.univ-paris13.fr), and Bérangère Delourme (LAGA, Université Sorbonne Paris Nord, delourme@math.univ-paris13.fr).
We are Bérangère Delourme and Bui Duc Quang from Université SorbonneParis Nord. We are looking for a student from your master program for a 3 month intership in the second semester of 2022-2023. Similarly to the previous year, Université Sorbonne Paris Nord will pay a round trip Paris-Hochiminh City and monthly stipend.
2) Iterated function systems
Profess8or: Marc Peigné (IDP, UMR 7013, Facult´e des Sciences et Techniques, Parc de Grandmont, 37200 Tours. Email: peigne@univ-tours.fr)
3) A model of Dengue disease transmission
Professor: Yves Belaud (IDP, UMR 7013, Facult´e des Sciences et Techniques, Parc de Grandmont, 37200 Tours. Email: yves.belaud@univ-tours.fr)
4) Zero-inflated Poisson regression model with interval-censored counts
Professor: Dupuy J.-F (INSA Rennes. Email: Jean-Francois.Dupuy@insa-rennes.fr)
The content of the internship.
5) Structure preserving reduced order model for a variational inequality
Professor: Quang Huy Tran (IFP Energies Nouvelles. Email: quang-huy.tran@ifpen.fr)
The content of the internship.
Remark: Students will not come to France for the internship.
It will be supervised online by Prof. TRAN Quang Huy from IFPEN.
6) Stochastic optimization and their applications on the drone routing problems with uncertainty
Professor: Lê Thị Hoài An (Informatics & Applications Dept, LGIPM-University of Lorraine. Email: hoai-an.le-thi@univ-lorraine.fr)
The content of the internship.
7) Optimization and Reinforcement Learning for Logistic Supply Chain Management (LSCM)
Professor: Lê Thị Hoài An (Informatics & Applications Dept, LGIPM-University of Lorraine. Email: hoai-an.le-thi@univ-lorraine.fr)
The content of the internship.
8) A new numerical approach to stiff ODEs by complementarity conditions
Professors: Mounir HADDOU (mounir.haddou@insa-rennes.fr), Ibtihel BEN GHARBIA (ibtihel.ben-gharbia@ifpen.fr), Quang Huy TRAN (quang-huy.tran@ifpen.fr)
Professor: Stéphane Balac (IRMAR, Université de Rennes, Campus de Beaulieu, Rennes, France, Email: stephane.balac@univ-rennes1.fr)
10) Statistical models for the dynamics of dividing population cells, theoretically and numerically.
Professor: Pham Ngoc Thanh Mai. Email: phamngoc@math.univ-paris13.fr
11) Coupling methods for an aggregation equation from biology
Professors: Raoul Gael (email: and gael.raoul@polytechnique.edu) and Conforti Giovanni (giovanni.conforti@polytechnique.edu)
12) Nonparametric estimation of the drift of a diffusion process: theory and numerical simulations
Professors: Mohamed Ben Alaya (LMRS, Univeristy of Rouen - Normandie. Email: mohamed.ben-alaya@univ-rouen.fr) Hoang Van Ha (University of Science, VNU - HCM. Email: hvha@hcmus.edu.vn)
Remark: the online internship.
13) Numerical simulation of a stiff bacterial activity model by high-order ODE integration schemes
Professors: Benjamin BRACONNIER (benjamin.braconnier@ifpen.fr) Christophe PREUX (christophe.preux@ifpen.fr) Quang Huy TRAN (quang-huy.tran@ifpen.fr) Soleiman YOUSEF (soleiman.yousef@ifpen.fr)
Contact: Quang Huy TRAN (quang-huy.tran@ifpen.fr)
Remark: the online internship.
14) Bayesian deep-learning for Knee OsteoArthritis diagnosis
Professor: Prof. Diarra Fall (diarra.fall@univ-orleans.fr)
15) Around Nonparametric Regression on Functional Variable
Professor: Laurent Delsol (Email: laurent.delsol@live.fr)
Content: This internship proposal focuses on nonparametric regression models in which the explanatory variable takes values in a functional space. The aim is to read, understand and implement a research paper providing the asymptotic expression of the MSE. Both theoretical and practical (with R software) aspects will be considered.
Bibliographical reference:
Frédéric Ferraty, Andre Mas, Philippe Vieu. Advances on nonparametric regression for functional variables.
Australian and New Zealand Journal of Statistics, 2007, 49 (3), pp.267-286. https://dx.doi.org/10.1111/j.1467-842X.2007.00480.x
Remark: the online internship.
16) Image segmentation from parametric and nonparametric density estimators
Professor: Laurent Delsol (Email: laurent.delsol@live.fr)
Content: This internship proposal focuses on a bayesian approach for image segmentation in which the density on each cluster is estimated either in a parametric or a nonparametric way. The aim is to understand, implement (with R software) and compare the two approaches on simulated and real world images.
Bibliographical reference:
Laurent Delsol, Cécile Louchet. Segmentation of hyperspectral images from functional kernel density estimation. International workshop on functional and operatorial statistics, Jun 2014, Stresa, Italy. pp.101-105. https://hal.science/hal-01032419
17) Large correlation matrices
Professor: Marguerite Zani
Email: marguerite.zani@univ-orleans.fr
18) The mathematical modelling of the evolution of antibiotic resistance and pathogenicity in commensal bacteria
Internship possibilities at the OUCRU (Oxford University Clinical
Research Unit, Ho Chi Minh city).
Professors: Marc Choisy (head of Mathematical Modelling group at OUCRU. Email: mchoisy@oucru.org) and François Blanquart (CNRS researcher,visiting OUCRU. Emaail: francois.blanquart@college-de-france.fr).
Content: The topic will be the mathematical modelling of the evolution of antibiotic resistance and pathogenicity in commensal bacteria. Many ommensal bacteria like Escherichia coli and Klebsiella pneumoniae are important opportunistic pathogens. They live a commensal lifestyle and do not harm their host the vast majority of the time. However they sometimes cause severe infections (urinary tract infections, bloodstream infections). The capacity to cause infection (pathogenicity) is under partial genetic control of the bacteria, as it depends on a large number of virulence genes with diverse functions (adhesins, iron capture systems). Some clones are much more pathogenic than others, like the so-called hypervirulent Klebsiella. In parallel, many species carry resistance genes which allow them to resist antibiotics. Commensal bacteria are most of the time exposed to antibiotics for reasons unrelated to their presence or action (‘bystander exposure’). Some emerging clones are both pathogenic and resistant. The role of this internship is to explore the evolving association between pathogenicity and resistance with mathematical modelling. This model will describe both several known effects of virulence genes, such as conferring longer bacterial carriage duration, larger within-host growth rate, and larger pathogenicity, and a drug resistance gene. The intern will develop and analyse an epidemiological-evolutionary model where the pathogen is characterized by two genetic loci (1 pathogenicity locus, 1 resistance locus), determine how the association between these two traits builds up, and what factors favour the association between these two traits.
The intern will use a combination of mathematical analyses and numerical resolution of the model. The internship will involve mathematical modelling using ordinary differential equations or partial differential equations.
19) Discrete time analysis for domain decomposition
Professors: Arthur Arnoult (arnoult@math.univ-paris13.fr), Caroline Japhet (japhet@math.univ-paris13.fr), Pascal Omnes (omnes@math.univ-paris13.fr), and Le Anh Ha (laha@hcmus.edu.vn)
Remark: Students will not come to France for the internship
20) Model and computational methods for the dynamic lot-size and delivery problem
Professors: Lê Thị Hoài An and Võ Xuân Thanh
Email: hoai‐an.le‐thi@univ‐lorraine.fr Tel: (33) ‐ [0] 3 ‐ 72 74 79 51 Cell:
Host organization: Informatics & Applications Dept, LGIPM ‐ University of Lorraine.
Remark: Students will not come to France for the internship
21) Model and computational methods for the joint replenishment and delivery problem
Professors: Lê Thị Hoài An and Võ Xuân Thanh
Email: hoai‐an.le‐thi@univ‐lorraine.fr Tel: (33) ‐ [0] 3 ‐ 72 74 79 51 Cell:
Host organization: Informatics & Applications Dept, LGIPM ‐ University of Lorraine.
Remark: Students will not come to France for the internship