Cifre thesis: Artificial intelligence for demand forecasting in the supply chain Type of offer: Job offer

Contract: CDD

Salary: 23,500 Gross/Annual

Type of thesis: CIFRE

Workplace: L@bISEN Yncréa Ouest research laboratory – Nantes / Generix Group

Specialty: Artificial Intelligence, Machine Learning, Operational Research, Analysis

Application deadline: 02/15/2022

Context : In recent years, the increasing complexity of the economic world has continued to attract the attention of researchers and industrialists who are embarking on the digitalization of their company.

More particularly, supply chains and industrial environments such as warehouses and transport networks are no longer managed as singular realities but as the result of a set of interactions between entities generating and sharing data and common interests.

For improve the efficiency of the supply chain, it is essential to be able to improve the demand forecast.

This has an impact on production, inventory planning, balancing demand and supply, optimization of delivery processes and reduction of lead times, peak hour prediction in logistics centers and human resources planning.

On the other hand, as these entities are nested, the performance of the overall system is directly related to the performance of elementary entities. Recent studies in the field of management of the supply chain have emphasized the interest of the decentralized management of these entities.

Recruitment procedure :

The position on a fixed-term contract (3 years) is to be filled as soon as possible, no later than 01/03/2022.

End of receipt of applications on 02/15/2022. Candidates must provide a handwritten cover letter, a curriculum vitae (2 pages max) and possibly a letter of recommendation from the person in charge of the Master. contacts:

• Maher JRIDI (Dr, HDR, thesis director): [email protected]

• Benoît LARDEUX (Dr, co-supervisor of the thesis): [email protected]

• Ayoub MCHAREK (Eng, team manager in Generix Group): [email protected]

Hi all (Please broadcast to students) We offer several internship offers as part of the development of AgroPortal – a semantic resources portal that empires agronomy – in Montpellier between MISTEA (INRAE) and LIRMM (U.Montpellier).

They are aimed at different profiles in computer science (bachelor's or master's degree, software/web development, DevOps, research) or scientific data management and can sometimes lead to fixed-term offers.

Topic 1. DevOps activities for the AgroPortal platform

Topic 2. Web development activities on AgroPortal

Topic 3. Development of a Protected plugin for editing, extracting and validating metadata for ontologies

Topic 4. Content and metadata management and administration in AgroPortal

Topic 5. Comparison of FAIRness assessment tools for ontologies and semantic resources

Sujet 6. Machine-learning based automatic assignment of Semantic Types to ontology concepts

Descriptions and application: https://docs.google.com/ document/d/e/2PACX-1vTKXrVPN6CDaTKL8HpVrZKtK8Saey GVLhzIJKVqr0iTt3lW1P1VEZ5_HdkD2Yg9RFxYgGq-Lmagw8g-/pub

Kind regards Clement Jonquet

Dear all, EDF R&D and Télécom SudParis offer an M2 internship position in topics related to IoT and smart spaces.

You can find the description in the following link: - https://gbouloukakis.com/files/jobs/smartmtb-seido.pdf

To apply, you can send me an email by providing the following documents:

- CV

- Motivation letter

- Transcripts of the last 3 years

- A course report or article written in English (if any)

Best regards, Georgios Bouloukakis

*Web and TAL engineer for the analysis of political texts* 6-month engineering position in the company Reticular Project

*Context* The company Reticular Project is recruiting a web and TAL engineer as part of its activities within the ANR TALAD project. Reticular Project is a start-up created in 2015, to design digital tools for economic intelligence and knowledge collection-management-sharing.

The work of the engineer recruited will mainly focus on the development, improvement and evaluation of TAL modules of the platform, in particular those that link textual data (dispatches, press articles) and a structured knowledge base.

This work will be complemented by the development of dedicated algorithms for the analysis of discourses related to politics, on language uses and the characterization of political discourses, as well as their propagation on networks.

*Missions* The engineer recruited, will be in charge of the following missions:

- extraction of entities and relationships in agency dispatches,

- improvement of an algorithm for automatic summary of description of entities,

- characterization of discourses (theoretical, doctrinal, etc.) on their circulation,

- structuring and dissemination of the corpus (formatting, markup, annotation schema).

*Profiles sought* - Diploma in NLP (or computer science)

- Skills in web

programming - Skills in python

programming - Interest in politics and media

*Executive* - Contract: 6-month full-time engineering fixed-term

contract - Start date: as soon as possible

- Remuneration: from 1600€ to 2000€ net depending on experience

- Location: Paris and telework

*Application* Please send your CV and share your motivations with Laurent Muller ([email protected])."

The Inria ZENITH team, the LIRMM and the LECA are looking for a post-doc in Montpellier to work on the modelling of marine species distributions using learning methods:

https://emploi.cnrs.fr/Offres/CDD/UMR5506-ALEJOL-001/Default.aspx?lang=EN

Come and work in an exceptional work environment at the crossroads of AI, ecology and participatory science. The host team is in charge of the Pl@ntNet initiative (https://plantnet.org/) and the LifeCLEF virtual lab (www.lifeclef.org).

Dear All, We are looking for a postdoc to join the research group Marvin (http://marvin.imag.fr/doku. php) at Grenoble University. Marvin works at the intersection of planning, machine learning and robotics to develop and deploy new algorithms for mission planning for autonomous systems.

The postdoc is for 18 month with possible extension, with an expected start in 2022.

Thank you for contacting me to apply.

Best regards, Damien Pellier

University of Grenoble AlpesLaboratoire d'Informatique de Grenoble IMAG Building — 700 Avenue Centrale CS 40700 - 38058 Grenoble cedex 9Bureau

: 365 / Tel: (+33) 4 57 42 15 39 http://membres-liglab.imag.fr/ pellier

We are looking for PhD student candidates on the following subject: Geometric Deep Learning on the Mesh (GeoDeep4Mesh).

Abstract of the PhD While deep learning methods have been studied for quite a long time on regular domains like for images, learning solutions capable of working on non-Euclidean data like graphs, meshes or point clouds have been defined more recently. This area of research is attracting more and more interest for the potential applications in many disparate domains, going from modeling of social networks, molecules matching and design, to surface classification and recognition. This has originated a new area of investigation broadly known as Geometric Deep Learning. In this thesis proposal, we aim at investigating new solutions for learning on 2D manifolds. On the one hand, our idea is to attack the problem by proposing equivariant networks capable of accounting for 3D transformations as well as embedding new metrics in the loss that are computed on the surface. On the other hand, we will propose generative models for meshes and point clouds that also account for the temporal dimension.

Click on for more details https://drive.google.com/file/d/1zwHWPB8jFp6lQGOCm0SGuAYwHnzWyLnG/view?usp=sharing

Key words: 3D mesh, geometry, deep learning, face, human body.

Required skills The applicant should conduct Master or engineering studies in relevant fields (artificial intelligence, data science, mathematics). Strong algorithm and programming skills (PyTorch/Keras/Python/etc.). Familiarity with Riemannian/Differential geometry Familiarity with deep learning in computer vision

The applicant should send an email to Prof. [email protected] subject [GeometricDeep] including at least:

1. A detailed CV

2. A motivation letter

3. University transcripts

4. Application deadline: April 1st

The PhD thesis will be funded in the framework of the AI_PhD@Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/

International collaborations In this project, we will collaborate with the Media Integration and Communication Center (MICC), of the University of Florence.

The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund).

The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mms from Brussels, and a short trips to other major centers in France such as Paris, Marseille and Lyon.

ORGANIZATION Based in Saclay (Essonne), List is one of CEA Tech's three technological research institutes, CEA technological research department.

Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to to create value.

Within List, the Vision and Learning Laboratory for scene analysis (LVA) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems.

The research themes of the laboratory are the recognition visual, behavior and activity analysis, automatic large-scale annotation and templates perception and decision. These technologies find their application in major sectors of activity (safety, mobility, advanced manufacturing, health).

PLACE CEA Nano-Innov Center - Saclay plateau (91)

TYPE OF CONTRACT CDD from 18 to 36 months - Salary according to diplomas and experience.

ASSIGNMENTS Artificial intelligence models are very often biased by the data seen during their learning.

Their performance can therefore drop severely when used on data from a slightly different domain (different context, point of view, modality, etc.). The challenge is therefore to ensure good performance despite this change of domain, while adopting frugality in annotations and/or data specific to the new domain.

Indeed, the requirements for the availability of this data and of their access are sometimes contrary to the constraints on the cost and confidentiality of the data of our industrial partners.

As part of a laboratory research project, you will have the mission to conduct research on new frugal AI approaches for the robustness of computer vision models against the change of domain. More specifically, under the responsibility of a project manager, you will be in charged :

 To contribute to the scientific and technical reflection necessary for the realization of the project;

 Carry out scientific and technological monitoring;

 To propose, design and develop new frugal deep learning approaches in annotated data and aiming to improve the robustness of visual recognition models during domain changes;

 To evaluate and validate the performance of the visual recognition algorithms obtained with these learning methods;

 To participate in the scientific dissemination of the methods developed (patents and publication of items).

PROFILE OF THE SEARCH CANDIDATE

 Doctor or engineer with significant research experience in the field of vision and artificial intelligence

 Skills: computer vision, machine learning, including deep learning

 Programming: Python, deep learning frameworks (PyTorch, Tensorflow)

Your qualities are creativity, a taste for challenge, autonomy and a sense of teamwork. You welcome the project to join an ambitious institute at the heart of the environment dynamics of the Saclay plateau.

If you recognize yourself in these skills, please send CV + cover letter to [email protected] / [email protected]

Host laboratory: Computer Science Research Institute of Toulouse (IRIT), teams SMAC and SEPIA

Location: Toulouse 1 Capitole University

Salary: 2400 euros net per month

Duration: 7 months

Expected date of employment: March 2022

Keywords: crisis management, GAMA, agent-based simulation, routing algorithms vehicles

Required profile : • Engineering degree or master's degree in computer science.

• Solid knowledge of object-oriented programming, particularly in Java; Python

• Knowledge of Multi-Agent Systems and/or information systems geographical would be appreciated.

• Good level of English (especially reading and writing)

How to apply: submit, before February 20, a CV, a cover letter and possibly reference letters to [email protected] and chihab.hanachi@ut- capitole.fr

Dear All, please find enclosed a phd thesis position opened at L3i laboratory, France.

The phd position concerns the development of a Dynamic Human-Agent Interactions adapted to users’ profiles in order to analyze the interaction of end-users with chatbot to improve the interactions.

This position is proposed in collaboration between the Easychain company (start-up from Niort) and the L3i laboratory (La Rochelle University) with a CIFRE contract.

Applications must be sent by email to [email protected] and [email protected] before the 1st of march.

More detailts are available here: https://l3i.univ-larochelle.fr/spip.php?action=acceder_document&arg=1675&cle=18f8865a07a5837e135038516847ef81c846c59a&file=pdf%2Fcifre_phd_proposal_dynamic_human_agent_interactions_adapted_to_users_profiles_cle07da8a.pdf

Best regards, -- Mickael Coustaty Maître de Conférence / Associate Professor Co-directeur du Master Tiers de Confiance et Sécurité Numérique

Directeur du laboratoire commun IDEAS LABORATOIRE L3i