MIRALab@CUI at University of Geneva is looking for several PhD students to model an intelligent 3D digital expert surgeon that can analyse the gestures of a real learning surgeon and teach her/him how to do the right gestures.
A specific data set will be developed to allow the digital surgeon to know at each moment what are the right surgical gestures to perform. This project is done in collaboration with the hospital of Geneva (new center in medical VR) and two companies.
We invite candidates in areas of A.I., Computer Vision, or Computer Graphics to apply.
Candidates with strong knowledge in one of the below fields are welcome to apply.
Computer Vision: to model the perception and the understanding of the gestures of the real surgeons in VR setting Computer Graphics: to model the digital surgeon’s gestures and behavior in response to the real learning surgeon working in VR Machine Learning: to model appropriate semantic responses how to surgeon a patient according to a data set of skilled surgeons
Required qualifications Applicants must earn a MSc in computer science or computer engineering. Candidate with a PhD will also be considered as postdoc. Candidates must demonstrate strong potential for excellence in Research in computer science.
Candidates must have a strong background in one or several of the following areas:
machine learning, scene perception spatio-temporal and semantic representation 3D Human Modelling and Animation
Excellent programming and software development skills are required, in particular knowledge in OpenCV, MATLAB, object-oriented programming, UML, C sharp, C++ would be appreciated.
Please provide a detailed CV with photo, two references with contact details, availability date, and a motivation letter explaining what contribution you could bring to this project. Salary is according to PhD scale at University of Geneva (approx. 4000 Swiss Francs a month plus social benefits. Please send applications to Prof Nadia Thalmann at [email protected].
At least 7 ATER positions in section 27 are open (or about to be opened) in Nancy, with integration into the LORIA laboratory for research. Five positions are already published on galaxie [*]:
27ATER0817 (Institute of Digital Science, Management and Cognition) 27MCF1050B (POLYTECH-Nancy) 27PR1139 (POLYTECH-Nancy) 27PR1316 (Faculty of Science and Technology) 33MCF0129 (Ecole des Mines-Nancy)
and at least two others are planned, one at POLYTECH-Nancy and the other at IUT Charlemange.
Full details, including application procedures and application deadlines, some very close, are available on the Galaxy Server [*].
Sincerely, Xavier Goaoc
https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ cand_postes_GALAXIE.htm
the CNRS is recruiting 25 Junior Professor Chairs (CPJ) positions, including one on the theme of Machine Learning for Natural Language Processing.
This contract offers a dedicated financial environment and includes teaching activities at a higher education institution.
These positions are offered on fixed-term contracts (CDD) under public law for a period of 3 to 6 years.
Deadline for applications: 31/08/2022
CNRS announcement: https://www.cnrs.fr/fr/cnrsinfo/join-le-cnrs-la-liste-des-25-postes-de-chaires-de-professeur-junior
Offre Machine Learning for Natural Language Processing
https://emploi.cnrs.fr/Offres/ CPJ/CPJ-2022-020/Default.aspx
We are seeking an excellent PhD candidate to work on Datalog reasoning over Knowledge Graphs.
The position is funded by Inria, and located in the GraphIK team in Montpellier (https://team.inria.fr/graphik/).
If you are interested in the topic, please look at the subject below :
https://www-sop.inria.fr/members/David.Carral/files/r4agri-phd-topic.pdf
For more than 16 years, the ISIS engineering school (https://isis.univ-jfc.fr/) of the Institut National Universitaire Champollion has been training engineers in the field of digital health.
It offers a course of excellence in 3 or 5 years, representing a total of 8 years of training from bac + 1 to bac + 5.
In recent years, it has experienced significant growth both in terms of the number of students enrolled and in terms of the specialties offered. To support this growth, a contract teaching position is open for the start of the 2022/2023 academic year.
The application deadline is 09/06/2022 with a start on 01/09/2022. The recruited teacher will strengthen the ranks of the pedagogical team in place in Castres.
His background or profile will clearly justify real skills in information systems, if possible in health (Master / Computer Engineer, Doctorate, professional experience ...). The detailed job description is available on our website at the following address: https://www.univ-jfc.fr/sites/ default/files/2022-05/2022_RCENS_18_ProfilPoste_ISIS. docx_.pdf
Learning code embeddings : application to Computer Science Education
Contact : Guillaume Cleuziou [email protected]
Supervisors : Guillaume Cleuziou and Matthieu Exbrayat
We offer a PhD position at the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans), University of Orléans, France.
It will start in October 2022 for 3 years. Related to the research domain of Artificial Intelligence, the PhD will include the following research fields : Machine Learning, Deep Learning, Representation Learning, Educational Data Mining.
PhD position requirements • The PhD position is fully funded by the University of Orléans with a monthly gross salary of 1,975€.
• It will be conducted at LIFO, University of Orléans, France. • It will start in October 2022. • The deadline to apply is June 20th, 2022. • Interviews with pre-selected candidates will take place in the end of June 2022.
Required technical skills
• Proficiency (speaking and writing) in French or in English. • Strong skills in programming languages such as Java and Python. • Experience in machine learning, data mining and deep learning. Interest in Educational data analysis is appreciated.
Required documents to apply
The complete application consists of the documents below, which must be sent as a single PDF file to Guillaume Cleuziou ([email protected]) LIFO, University of Orléans.
• CV • One-page cover letter (clearly indicating available starting date as well as relevent
qualifications, experience and motivation) • University certificates and transcripts (both B.Sc and M.Sc degrees marks) • Contact details of up to three referees
• Possibly an English language certificate and a list of publications. All documents should be in English or in French.
IRISA and ANTAI (National Agency for the Automated Processing of Offences) are looking for a candidate for a CIFRE thesis on the introduction of rejection capabilities and outsourced language models into deep learning systems for reading text (license plate images) in difficult conditions.
See the details of the topic below.
Place of exercise: Rennes Salary: 35-40 k€ gross annual according to profile
Details on https://www.irisa.fr/phd-subject/2022-04/introduction-de-capacitiacites-de-rejet-et-de-model es-de-langage-outsources-dans
Since 2011, the National Agency for Automated Processing of Infractions (ANTAI) leads the interdepartmental program for the automated processing of traffic offenses detected by radars.
At the Centre de Traitement des Amendes (CNT) in Rennes, photos from these road radars are processed in order to locate and recognize the license plate and the country of origin of the offending vehicle . This operation is carried out by an automatic processing line that relies on automatic plate reading (LAP) motors on the market.
The LAPs used today suffer from two main limitations. The first limitation comes from the fact that the photos taken by the radars are sometimes noisy or that elements are placed between the sensor and the plate (for example, vegetation or a hitch ball ). The second is due to the biased and fixed learning of the language model due to a joint learning of the graphic model of plates and the language model
Beyond lap, these limitations raise fundamental questions in machine learning, in the first place on the measurement of confidence in the decision (ability to reject, explanation), secondly , on high-performance architectures that make it possible to decouple the modeling of the different components (images, characters, language model) while keeping the benefits of global modeling (end-to-end).
The general objective of the thesis is therefore to develop new approaches in machine learning applied to LAP, making it possible to develop high-performance systems, easily adaptable and adapted to the interaction with users validating the decision.
The work will rely heavily on the data and existing expertise within ANTAI, the latter having all the images taken by road radars since the beginning of the program accompanied by validated annotations.
We are looking for new students interested in computer science to test the new version of the game E-LearningScape Info a virtual escape game on the theme of Computer Science.
All the information to download the sound game available on the page: https://webia.lip6.fr/~muratetm/elearningscape/
Do not hesitate to disseminate this proposal to your students / high school students and in your networks.
Title: A decision support system for contextualizing the response to security incidents ALEKSO company in partnership with the CEDRIC laboratory
The CEDRIC laboratory (Center for Studies and Research in Computer Science and Communications) brings together the research activities in digital sciences conducted at the National Conservatory of Arts and Crafts (https://cedric.cnam.fr)
ALEKSO is a start-up born in September 2018, but already totaling more than 200 years of cumulative experience in cybersecurity. ALEKSO meets the challenges of companies with a single cybersecurity solution that encompasses all the needs of securing the information system .
Its field of intervention ranges from end-point security to security incident remediation, perimeter security , access management, email protection, telecommunications security , security of security incidents. This "know-how" has enabled it to set up a security operational centre and to equip itself with a complete cybersecurity tool.
The objective of the thesis is to propose a decision support system to support the activity of a security expert responsible for responding to a proven incident. In order to ensure scalability and portability, the design of the projected system must be model-driven.
Places of practice: ALEKSO in Le Plessis-Robinson and Laboratoire CEDRIC in Paris
Financing: 3-year fixed-term contract at ALEKSO according to the terms of CIFRE-type financing Estimated start of the thesis contract: October 2022. Possibility to have an internship before the official recruitment in October 2022.
Candidate profile: The candidate for this thesis must have:
- a Master 2 research in computer science (or equivalent) - skills in knowledge representation and / or conceptual modeling of information systems. - programming skills
He must also have a good command of French (oral and written) and English (oral and written) Cybersecurity knowledge and R&D expertise in cybersecurity will be a plus.
Recruitment procedure: The candidate must send by email to Mrs. Lammari ([email protected]) a file consisting of: - a detailed CV - a copy of the Master's degree or any document attesting to the master's
level - a copy of the Master's transcripts - a copy of the identity card or passport - a letter of motivation
location: Conservatoire National des Arts et Métiers, CEDRIC Laboratory, Paris, France
Context: This postdoctoral position takes place within the industrial projet ARC.
The aim of this project is to provide automatic solutions that will improve cyber incident response which is a key part in the domain of information system security.
It is a critical process, operated by SOC experts. The latter, although currently having a panoply of tools, must mobilize, under time pressure, a wide range of knowledge and skills allowing them to react, in a very short time, to an attack to neutralize its harmful effects as soon as possible and therefore to reduce its extent and costs.
The ARC project aims, among other objectives, to implement a contextualized decision support system based on an ontology that capitalizes on all the knowledge useful to human reasoning.
The position responsibilities include: - Investigating existing sources that contribute to cyber incident response decision-making - conceptualizing an ontology that could be used for a contextualized response to an incident - Operationalizing the conceptualized ontology.
Requirements: The ideal candidate holds a doctoral degree in Computer science or a related field and is able to combine theoretical and practical aspects in his/her work.
Fluent English communication and software technology skills are fundamental requirements. The candidate should have a background in at least one of the following fields: - Semantic web technologies - Knowledge representation
- Logic, automated reasoning, or related subfields It would be a plus if the candidate has a background in cyber security field. Full-stack developing skills are required.
Duration: Seven months, renewable, starting as soon as possible.
Contact: Nadira Lammari: [email protected]
we are recruiting a PhD student to work in the field of security of next-generation networks (IoT-based use cases) and in particular on the intelligent and automated selection and deployment of countermeasures, and verification of their implementation:
https://www.adum.fr/as/ed/voirproposal.pl?site=adumR&matricule_prop=43017
The thesis is co-supervised by Télécom SudParis, LORIA and LIP6.
The application deadline is June 30, 2022. The requested documents are as follows: - a CV (up to date) - a letter of motivation
- a copy of the Master's or engineering degree (if available) as well as M1/M2 statements - letters of recommendation (training manager, researcher, internship supervisor, etc.)
- a copy of an identity document (if you do not have French nationality)
The TWEAK team of the LIRIS laboratory is recruiting a computer engineer as part of the ANR MOBILES project: https://mobiles-projet.huma-num.fr/
Part of the MOBILES project consists of: (1) developing innovative methods to collect traces of activity (explicit and declared), which are produced by various and geolocated sources (photographs, social networks, route searches, etc.); (2) design methods of modelling, analysis and visualization, combining qualitative methods with formalized methods in computer science and geomatics.
The mission will be to produce a smartphone application to allow the project team (1) to collect digital data relating to individual activities (geographical traces, traces of digital activities including the annotations produced) and (2) to propose a cartographic visualization of these traces and an individual, shared and collective discussion.
The fixed-term contract is for a period of 12 months, and will start as soon as possible.
Dear Computer Vision and Machine Learning Community members,
We are hiring a Research Scientist in Google Responsible AI Montreal. If you are working on the intersection of Computer Vision / Multimodal Learning and Responsible AI, and are interested, please apply here: https://careers.google.com/jobs/results/91834542022632134/.
If you have any questions about the position, please send me an email and I will try to get back to you as soon as possible.
Cross-lingual and cross-domain terminology alignment
Interested in joining a young NLP group of 10+ people located in a historical town by the Atlantic Ocean? And walk 10 minutes from the lab to the beach. We have open positions in the context of recent Horizon 2020 projects: Embeddia and NewsEye as well as related local projects. In the last 2 years, we have among others published long papers in CORE A* and A conferences such as ACL, JCDL, CoNLL, ICDAR, COLING, ICADL, etc.
Location: L3i laboratory, La Rochelle, France
Duration: 2 years (1+1), with possible further extension Net salary range: 2100€-2300 € monthly
Context: H2020 Embeddia project and regional project Termitrad Start: September 2022 (tentatively)
Keywords: terminology alignment, cross-lingual word embeddings, named-entity recognition and linking, deep/machine learning, statistical NLP, (text) mining.
Applications are invited for a postdoctoral researcher position around the topic of project Termitrad: keyword and terminology alignment 1) across languages and 2) across domains. In short, the overall objective of the project is to improve the relevance of the keywords describing research papers (and, time allowing, the quality of abstracts). One the one hand (cross-lingual alignment), we will rely on a corpora of journal articles with both French and English keywords and abstracts, both in as written by authors and in versions curated by experts. On the other hand (crossdomain alignment), we will work with use cases provided by researchers from different fields using different terms to describe similar concepts.
To address this very project, the project team will consist of senior staff, 2 post-doctoral researchers and 2-3 PhD students, one of which is jointly supervised in the Józef Stefan Institute in Ljubljana, coordinator of H2020 Embeddia. In this context, you will first be in charge of building a state of the art of existing related approaches, tools and resources, then to conduct further research and experiments, as well as participate in the supervision of PhD students.
- - PhD in statistical NLP, IR, or ML, ideally with further postdoctoral experience - - proven record of high-level publications in one or more of those fields
- - fluency in written and spoken English (French language skills are welcome but unnecessary)
Applications including a CV and a one-page research statement discussing how the candidate's background fits requirements and topic are to be sent to by email to [email protected], strictly with the subject "Embeddia/Termitrad postdoc application".
Application deadline: 14 June 2022.
Title :* Emotion detection by semantic analysis of the text in comics speech balloons
The L3i laboratory has one open post-doc position in computer science, in the specific field of natural language processing in the context of digitised documents.
*Duration*: 12 months (an extension of 12 months will be possible)
*Position available from*: As soon as possible
*Salary*: approximately 2150 € / month (net)
*Place*: L3i lab, University of La Rochelle, France
*Specialty*: Computer Science/ Document Analysis/ Natural Language Processing
*Contact*: Jean-Christophe BURIE (jcburie [at] univ-lr.fr) Antoine Doucet (antoine.doucet [at] univ-lr.fr)
The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i works since several years on document analysis and has developed a well-known expertise in ‘Bande dessinée”, manga and comics analysis, indexing and understanding.
The work done by the post-doc will take part in the context of *SAiL* (Sequential Art Image Laboratory) a joint laboratory involving L3i and a private company. The objective is to create innovative tools to index and interact with digitised comics. The work will be done in a team of 10 researchers and engineers.
The team has developed different methods to extract and recognise the text of the speech balloons. The specific task of the recruited researcher will be to use Natural Language Processing strategies to analyse the text in order to identify emotions expressed by a character (reacting to the utterance of another speaking character) or caused by it (talking to another character). The datasets will be collections of comics in French and English.
Candidates must have a completed PhD and a research experience *in natural language processing*. Some knowledge and experience in deep learning is also recommended.
ood programming skills mastering at least one programming language like Python, Java, C/C++ - Good teamwork skills - Good writing skills and proficiency in written and spoken English or French
Candidates should send a CV and a motivation letter to jcburie [at] univ-lr.fr and antoine.doucet [at] univ-lr.fr.
Applications will be considered from 9 June onwards, and until a candidate is hired