EPITA is opening several full-time Computer Science Teachers/Study Engineers positions, for recruitment at the latest at the beginning of the 2022-2023 school year.
Their mission will be to carry out highly innovative projects, develop the school's platforms and support the projects of engineering students on its five sites,
in order to support the School's development dynamics at the national level:
- Paris (Kremlin-Bicêtre and Campus Cyber à la Défense)
- Lyon
- Rennes
- Strasbourg
- Toulouse
to support our teams and research axes on the following themes:
- Security of software and architectures: identification, protection, detection and reaction,
- Low-level system (kernel, assembler), operating systems, virtual machines and cloud computing,
- Embedded system (including robotics),
- Data science and engineering, knowledge extraction,
- Machine learning and other subfields of AI,
- Image processing, pattern recognition and vision,
- Automata and their applications (including verification and synthesis),
- Software and performance (including HPC, GPU).
Depending on the profile, missions can get involved in research projects, or even lead to the realization of a doctoral thesis.
The precise information concerning these positions and the link to transfer your application to us are available here:
https://www.lrde.epita.fr/~theo/postes_EPITA_EIE_2022.pdf
The application deadline is June 15, 2022.
Viasema CDI AI Engineer / Knowledge Graph (Semantic Web and Ontologies)
Viasema is a software publisher specialized in Artificial Intelligence that was created in 2010 by a team of entrepreneurs and engineers experts in AI. Jamal Rezzouk, our CTO and co-founder, graduated in applied mathematics from École Centrale Paris and has more than 30 years of experience in the field of AI.
At the heart of our offer, AI is part of the company's DNA Strategic projects with flagships of French industry as well as French world leaders (4 customers with more than 20 billion turnover)
The contribution of knowledge and expertise in new "state of the art" technologies that our customers do not have in-house
Particularly innovative and efficient solutions
Our platform is already in production in the complex IT environments of French industrial leaders demonstrating the technological maturity acquired over the last ten years
Viasema values involvement, loyalty, intelligence and rewards strong performance with increased responsibility and the ability to evolve rapidly within the company. If you want to have an immediate impact on a fast-growing company that defies the limits of intelligence and is looking for excellence, we invite you to apply today.
Job description Viasema is looking for an engineer with a perfect understanding of the issues related to the implementation of Semantic Web technologies.
You join a technical team composed of JAVA developers, Artificial Intelligence Engineers (Enterprise Knowledge Graph, Semantic Web etc.) and NLP. You will be part of the Artificial Intelligence division which is led by our CTO, an AI expert. Alongside a dynamic and motivated team, your daily life offers you a pleasant and efficient work environment where everyone can feel free to flourish through many innovative projects.
In close collaboration with the CTO, you define with him the strategies for applying AI solutions to concrete market cases. Beyond the strategic nature of the position, this position is an opportunity to progress with a recognized expert in the field of AI.
Viasema is above all a human and stimulating adventure to prepare for the future.
Your missions: · The transformation of data and data models from their current form (non-semantic) to a semantic description/modeling
· Ontology modeling within knowledge graphs
· Management and alignment of existing ontologies to ensure interoperability between different heterogeneous sources
Profile sought All profiles are likely to interest us but obviously, if you match with the following criteria, you leave with a head start:
You are a mathematics or computer engineer with in-depth knowledge of Semantic Web/Data Web, Knowledge Engineering/Knowledge Graph and Linked Data.
Ability to quickly learn new technologies and become familiar with new areas of activity.
The candidate must first master the technologies of the Semantic Web (RDF/OWL, SPARQL ...), classic ontologies such as SKOS, FRBR, Web Annotation, Schema.org ... and related tools.
Beyond technical skills, we are looking for a very autonomous and rigorous candidate, but also a good popularizer and able to be a force of proposal with technical teams such as end users or management.
Guarantor of the success of your projects, you are the rare pearl if you know how to show creativity, initiative and proactivity.
Would you like to apply? Email [email protected]
As part of the LostInZoom (https://lostinzoom.github.io/ home/) project, we propose a thesis, entitled "Anchor-Based Multi-Scale Map Zooming", deals with human-computer interaction and animated zoom in a map.
The full description and application procedures can be found here: https://lostinzoom.github.io/ home/pdf/lostinzoom_phd4_ description.pdf
The application deadline is 20 May 2022.
The University of Toulouse 2 Jean-Jaurès and the INU Jean-François Champollion are joining forces to offer a thesis scholarship, co-financed by the Occitanie region and the Federal University of Toulouse Midi-Pyrénées.
"To understand the mechanisms of autism in learning situations thanks to Embodied Virtual Reality"
This is a multidisciplinary thesis at the crossroads of Virtual Reality and Cognitive Sciences. All the detailed information relating to the subject, the desired schedule, the profile we are looking for and the conditions of the thesis are explained in the PDF document attached.
Applications are requested before 3 June, for a start on 1 September 2022.
Please send a CV and cover letter to the two co-directors: [email protected] and [email protected]
Application deadline: June 3, 2022, for a desired start on September 1, 2022.
You will find in PJ a co-supervised thesis topic, proposed by IMT Atlantique and Polytechnique de Montréal, for which we are looking for a candidate.
Thesis title: Counting and sampling of solutions for anytime pattern discovery
Application deadline: 06/05/2022
Applications should be sent to: [email protected], [email protected], charlotte.truchet@univ-nantes. fr
If you are interested, please send us the following as soon as possible (and before 06 May):
Detailed CV,
cover letter,
transcript details (including M1 and M2),
elements of bibliography or personal achievements related to a research activity (e.g. master's project, research internship subject, etc.),
2 to 3 letters of recommendation.
We are looking for a doctoral student to join the ML research group QARMA at Aix-Marseille University.
Project Title: Multimodal fair learning
Application deadline: May 30th, 2022
See the following link for full details and instructions on how to apply: https://labex-archimede.univ-amu.fr/en/programs/application-for-the-doctoral-program-in-artificial-intelligence-2022.html.
at CNRS - Aix-Marseille Université (CNRS - AMU), France.
Applications due by *8 May 2022*.
Title: Knowledge Graph Reasoning for Semantic Parsing
Supervisors: Patrice Bellot (LIS, CNRS - AMU), Mathieu Lafourcade (LIRMM, CNRS - U. de Montpellier) and Jean-Philippe Prost (LPL, CNRS - AMU)
Starting date: September 2022 (slightly flexible)
How to apply? Please send all the required documents (preferably within a single one) in pdf format to [email protected]
Academic selection criteria - Required > Qualification: Master degree (possibly pending), or equivalent (i.e., graduate/postgraduate education)
French, as it is the target language of the project. Fluency a plus
Prior exposure to research, preferably in Natural Language Processing, or Computational Linguistics. Artificial Intelligence or other fields of Computer Science will also be considered
- Strongly expected
Exposure to knowledge graphs, graph/network theory
Optional
Machine Learning, Deep Learning, graph embeddings
Application documents - Résumé (CV)
- Cover letter, including how you would address the topic (3 pages max)
- University transcripts (at least the last two years of relevant education)
- A piece of academic work authored by the candidate: research paper, essay, report, Masters thesis, etc.
- (optional) recommendation letters
More details on the project website: http://holinet.lpl-aix.fr/#phd-may22
Funding: Pays-de-Loire region – SIMULBUS project
Research lab: LS2N (www.ls2n.fr) – CPS3 team
Industrial partner: Tellae (www.tellae.fr) – A1 statistiques (https://a1statistiques.fr)
Scientific advisors: CARDIN Olivier – NOUIRI Maroua
Start Date: Summer 2022 Duration: 12 months
Description: Decision making for smart cities is a difficult task, driven by a constantly evolving environment, a global lack of reliable data and a high complexity of the models of behavior of the different entities interacting in the city. This project is focused on smart transportation service.
The SIMULBUS project is interested in developing a global framework enabling a reliable decision support for bus fleets management.
This position is focused on the task of simulating the behavior of bus lines, with the objective of providing reliable performance indicators on potential future configurations of the line: quality of service depending on the size of the fleet, impact of crossroads modification, etc. Tellae, which is a specialist of multi-agent simulation for bus lines, is our industrial partner on the simulation side.
The overall objective of the project is to develop a tool that could be directly transferred to the partner for future studies. The experimentation of the developed simulation model tool will be based on real data.
Structure and models of data necessary for the simulation will be provided by another work package, that started in early 2022, between LS2N and A1 statistiques.
Raw data are currently being extracted from actual data gathered in French cities by Machine Learning techniques.
One main scientific stake of this post- doctoral application is to show how the results of the Machine-Learning-based analysis can be implemented in the simulation framework.
Location: The work will be carried out mainly in the site of Carquefou of LS2N (close to Nantes) and partly with the industrial partner in the city center of Nantes.
Applicant profile: The main requested skills in this application deal with Simulation techniques.
The candidate can justify either a good knowledge and experience on multi-agent simulation (preferably in Python, but possibly in Java or other programming language) or an experience in discrete-event simulation industrial tools (preferably Flexsim, but other options such as Arena can be accepted).
A good understanding of the concepts of stochastic simulation is mandatory. Knowledges in Machine Learning and Smart Cities context can also be advantages for the application, but are not mandatory.
Remuneration: Approximately 3100€ gross monthly, depending on administrative situation and experience.
Application: Please send your motivation together with your extended CV (including list of relevant publications) to [email protected] and [email protected], and provide names and emails of potential recommendations concerning your simulation experience.
Dear all, We have a postdoc opening on developing Arabic handwritten text recognition systems at the NC State University, North Carolina, USA.
No Arabic knowledge is needed but please make sure that you are good at deep learning and you are in one of the following fields: document analysis, computer vision, and image processing. You will be jointly supervised by a humanity faculty member and an ECE faculty member (me).
More details about the opening including the application link can be found here: https://jobs.ncsu.edu/postings/152789
If you have any questions, please don't hesitate to let me know. I also highly appreciate it if you could forward this opening to relevant parties.
The CIAD laboratory (http://www.ciad-lab.fr) of the University of Technology of Belfort Montbéliard (http://www.utbm.fr) has 3 open positions of PhD students:
1) Contribution to the modeling and support for the dynamic management of user-centric services in an uncertain smart building environment
Keywords: multiagent systems, IOT, smart buildings
Details: http://www.ciad-lab. fr/wp-content/uploads/These_Kardham_V5.pdf
Application due date: as soon as possible
2) Human/Machine collaboration for complex tasks realization Keywords: Human/machine collaboration, Human System Integration, eXplainable Artificial Intelligence, Reactive Multi-agent systems, Simulation
Details: http://www.ciad-lab. fr/wp-content/uploads/PhD_position_2022_CIAD-UTBM.pdf
Application due date : May 20th 2022
3) Data space deep learning for visual tasks
Keywords: image generation, classification, regression, deep learning (CNN, GAN, Transformers), Data space decomposition, supervised and unsupervised learning
Details: http://www.ciad-lab. fr/wp-content/uploads/DSDNet_PhD-Call.pdf
Application due date : May 20th 2022
A thesis proposal in Toulouse entitled "Autonomous and robust scheduling in space missions".
This thesis will be carried out in collaboration between the ROC team (Operational Research, Combinatorial Optimization, Constraints) of LAAS-CNRS and the Planets, Environments and Space Plasmas team of the Institute for Research in Astrophysics and Planetology (IRAP). It is in line with work already carried out between the ROC team and major players in the space sector (CNES, ESA, JPL).
The thesis project focuses on the integration of the detection of events of scientific interest (data from instruments on board various satellites to study planetary environments) or operational, and the scheduling of activities resulting from them: taking measurements, storing and transferring data under resource constraints.
We will consider the scientific problem in a generic framework where the management of the operations of a satellite seen as a classic scheduling problem will be associated with specific constraints and objectives related to the transfer of data generated by the instruments and considerations of autonomy, embarkability and robustness.
All the details on the thesis topic, the work context and the application procedures are described in the PDF file accessible at the following link:
https://homepages.laas.fr/lope z/Ordonnancement_pour_le_Spati al.pdf
As part of the doctoral campaign of the CEDRIC laboratory of CNAM Paris, we are looking for a candidate for a thesis in the field of artificial intelligence applied to the extraction and search of information in legal text networks.
The detailed topic is available at the following address: http://cedric.cnam.fr/lab/wp-content/uploads/2022/03/Sujet_Mimouni_Hamdi.pdf
Interested candidates are requested to send their application files (CV, cover letter, transcripts, letter of recommendation) to Nada Mimouni ([email protected]) and Fayçal Hamdi ([email protected]) before 15 May 2022.
We are looking for a talented post-doc. researcher in Robotics/Simulation/Artifical Intelligence/Autonomous Vehicle to join our research group and contribute to the ANR project MultiTrans at INSA Rouen Normandy, France.
Title: "Connected and Autonomous Vehicle virtualization framework for Transfer Learning applications"
Main mission: to build a novel autonomous vehicle virtualization framework (digital twin) enabling to investigate and propose new algorithms that rely on transfer learning techniques.
Full details (including application instructions): https://anr-multitrans.github.io/jobs/
Application deadline: May 27th 2022.
Expected starting date: around Sept. 2022.
Research Lab: LITIS Lab, INSA Rouen Normandie, France.