Positions (1Ph.D. student and 3 PostDocs) in the area of Computer Vision and Deep Learning, Deepfake Generation and Detection at INRIA Sophia Antipolis, France
Positions are ideally located in the heart of the French Riviera, inside the multi-cultural silicon valley of Europe.To apply, please email a full application to Antitza Dantcheva ([email protected]), indicating [Open Positions Deepfake] in the e-mail subject line.
Researcher STARS Team INRIA Sophia Antipolis - Méditerranée 2004, route des Lucioles - BP 93
06902 Sophia Antipolis Cedex Phone: +33 4 97 15 53 47
Website: antitza.com
Laboratory/Company: AgroParisTech – MMIP Department (Mathematical, Computer and Physical Modelling)
Contact : [email protected]
Competition: Spring 2022 session
Context: A Professor position in the field of machine learning / artificial intelligence for life sciences, environment and agronomy will be opened to AgroParisTech, a founding member of Université Paris-Saclay, as part of the spring 2022 recruitment campaign.
The integration will be done within the UMR MIA-Paris (AgroParisTech / INRAé) in the EKINOCS team for research and in the UFR of computer science of AgroParisTech for teaching. The teaching activity is also part of the Graduate School "Computer Science and Digital Sciences" of The University of Paris-Saclay.
Keywords: machine learning, artificial intelligence, knowledge integration, scalable systems.
Search: The recruited Professor will strengthen the EKINOCS team (comprising 12 members working on machine learning, knowledge integration, data visualization and optimization methods) in the field of machine learning. The questions studied relate to life sciences, environmental sciences and agronomy in the context of academic and/or industrial projects (ANR, Cifre, etc.). For example: questions on the environment (eg monitoring and interpretation of time series of satellite images, analysis of images by drones), real-time monitoring of supply chains or complex systems (early detection and automatic classification of anomalies and online decision-making), analysis of transformation processes, nutrition (research of the determinants of eating behaviors and design of a personalized digital coach to modify sustainable user choices), analysis of biotopes related to health, etc. These questions are all stimulating to develop new methods and techniques of machine learning.
Teaching: The recruited Pr will be responsible for designing and delivering courses in all of AgroParisTech's IT-related training courses, which may include courses using digital technologies.
The courses to be able to take charge are at the level of the engineering cycle and in master's degree:
• In the first year: in the common core: algorithmics, programming, databases, and in the EU optional on particular computer methods or certain aspects of data science, for example data visualization techniques.
• In the second year: in optional UEs both for relevant courses from the MMIP department, but also for other departments.
• In the third year, in the majority IODAA which is focused on data sciences and, potentially, in the masters of artificial intelligence and bioinformatics at the University of Paris-Saclay.
The Professor may also participate in, and organize, doctoral school modules.
Candidate Profile: The Recruited Professor will strengthen EKINOCS. He/she will interact with actors in particular from the world of life sciences, the environment and agronomy. He/she will be required to quickly take charge of thesis / internship supervision, and to develop new collaborative activities through academic and/or industrial structuring projects (ANR, Cifre, etc.). He/she will have the opportunity to participate in the activities of the DataIA Institute of Paris-Saclay University and the chair H@rvest (digital agriculture) and will be able to initiate national or international programs.
Training and skills required: The candidate must hold an Habilitation to Supervise Research in Computer Science and more particularly in the field of relevant artificial intelligence of data sciences in order to be able to guide teaching and research in this discipline.
In terms of research, he/she will have to justify an academically recognized activity both nationally and internationally. Particular attention will be paid to his appetite to work in the fields of life sciences and the environment and to animate and conduct research projects.
Job Address: Place of work: AgroParisTech, Paris-Saclay University campus.
If you would then like further information please contact: – for the research component: Antoine Cornuéjols (Head of the EKINOCS team): [email protected]
– for the teaching component: Liliana Ibanescu (Head of agroParisTech's UFR d'informatique): [email protected]
Antoine CORNUEJOLS
Professor of Computer Science AgroParisTech / University of Paris-Saclay MMIP Department
UMR MIA-Paris AgroParisTech - INRA 16, rue Claude Bernard , F-75 231 PARIS Cedex 05 Tel. (+33) 1 44 08 72 29 - Fax (+33) 1 44 08 16 66
Email: [email protected] Web : http://www.agroparistech.fr/ufr-info/membres/cornuejols/
Dear colleagues, University Milano-Bicocca is offering 1 postdoctoral position on machine learning and AI applied to understand and contrast social media threats for teenagers.
The successful participant will be involved in the multidisciplinary project COURAGE funded by Volkswagen Foundation.
The position is research only starting in April 2022
1 Researcher Position Application Opens: T.B.D. (soon)
Application Closes: T.B.D. (about mid-February)
Starts: April - May 2022
Duration: 1.5 years
Salary: € 3100 pm after tax
Please contact us for expression of interest and preliminary information:
[email protected] (PI)
Topics: Social media, NLP, machine learning, cognitive models, opinion dynamics, computer vision, reinforcement learning, graph neural network, recommender systems, network analysis
Project: COURAGE https://www.upf.edu/web/courage
Informal description of the job: Do social media harm teenagers and our society?
Can we make them safer?
Let's understand how to reshape social media algorithms together with this competitive research positions in #machinelearnig, #artificialintelliegence and #socialmedia modelling based in Università degli Studi di Milano-Bicocca on the project COURAGE #couragecompanion
#AIforSocialGood We will use the state of the art in graph neural networks, reinforcement learning, nlp, cv, and machine learning in general to improve our understanding of social media dynamics, and help our society by supporting and teaching young people tackle hate speech and fake news in social media.
Many opportunities for interdisciplinary and international research.
Postdoc position in Deep Learning and Computer Vision at Aalborg University
At the Faculty of Engineering and Science, Department of Materials and Production a Post. Doc. position is available from **February 2022** or soon thereafter.
The Post.Doc. is part of a strategic effort in the area of Deep Learning and Computer Vision to strengthen the activities in the Robotics & Automation Group. The position includes both research and teaching in these domains. The position will be an integral part of the project Predictive Automatic Corrosion Management – PACMAN, which has the overall objective of developing and empirically demonstrating the use of predictive corrosion management in the offshore sector. This objective is pursued through developing and demonstrating state-of-the-art Deep Learning and predictive AI algorithms on image/video datasets acquired from real-world applications and later tested again in real-world applications.
In this context, the candidate is expected to perform fundamental and applied research in Deep Learning and computer vision techniques towards real-world applications where image segmentation is a central component. The position builds on continuous contact and collaboration with industrial partners, and the overall aim of the research effort is to develop novel predictive and classification methods, which can support the specific use case in the PACMAN project, and furthermore, support long-term research activities within AI for robotics and manufacturing. The position is for *2 years* with the possibility of extending the position for multiple years
Appointment as Post. Doc. presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Post.Doc. cannot exceed a period of four years in total at Aalborg University. As a successful applicant you will participate in education, academic and collaborative research activities in the Robotics & Automation Group and with external partners.
The research covered by the position will be within the core of the research group (AI in robotics (CV, RL, NLP, HRI), self-learning systems, smart manufacturing, Industry 4.0) and the applicant’s profile should therefore address several of the areas. We are looking for highly motivated candidates with qualifications in one or preferably more of the following areas:
Computer vision and deep learning/machine learning
Programming and framework experience e.g. Python, Tensorflow/Pytorch etc.
Previous experience with robotics, robot vision, image segmentation will be considered an advantage
Previous experience with experimental research within manufacturing companies will be considered an advantage
Ability to work in a multi-disciplinary and international environment as an independent researcher
Good written and verbal communication skills in English
Commitment, dedication, enthusiasm, and ability to work efficiently both as a part of a team and independently
The teaching activities include teaching courses and supervising student projects in the bachelor programs: Bachelor of IT, B.Sc.Eng. in Global Business Engineering, and in the M.Sc. program in Management Engineering.
· Access to a state-of-the-art research laboratory equipped with high- performance computing infrastructure, smart production lab, a variety of mobile robots, collaborative robotic platforms, industrial robotic arms, drones, cyber-physical modules, exoskeletons, and numerous cameras and relevant equipment for experiments
· Multi-disciplinary and international environment
· A chance to see your research being brought into practice
· Strong engagement with industry
· Flexible working hours
· Casual working environment
Location --------- Aalborg University (AAU) contributes to the knowledge building of the global society as well as the development of prosperity, welfare, and culture of Danish society. This is accomplished through research, research-based education, public sector services, and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding community. The Department of Materials and Production (MP) is wide-ranging research and educational environment at Aalborg University.
The department has several strong, international, and innovative research groups which comprise everything from basic science to strategic and applicable research. The activities encompass research as well as education within materials, mechanics, physics, production techniques, robotics, and industrial management and innovation. The laboratory facilities are world-class, and the research activities carried out are most often in collaboration with industry. The position will be positioned to the section for Production in the main Aalborg campus.
Read more about AAU at www.aau.dk
Read more about AAU - MP at www.mp.aau.dk/
Please send your electronic application in a SINGLE PDF DOCUMENT (including a detailed CV, a certificate of your latest degree including grades, your publication list, and a pdf of your best article) to Dr. Simon Bøgh [email protected] .
Best regards, Dimitris Chrysostomou Associate Professor
Department of Materials and Production Aalborg University Fibigerstræde 16, Room 4-208 9220 Aalborg East Denmark
PhD position on Dynamic Machine Learning Models for Mental Health - Financement de thèse CIFRE en Modèles d'Apprentissage Dynamiques pour la Santé Mentale - QARE/CNRS/CERMES3/GREYC - France
QARE Ltd. (https://www.qare.fr/), and the CNRS research laboratories CERMES3 (https://www.cermes3.cnrs.fr/) and GREYC (https://www.greyc.fr/) invite applications for a fully funded three-year PhD position in Dynamic Machine Learning Models for Mental Health.
The successful candidate must hold a Master degree or equivalent in Data Science, Applied Mathematics or Computer Science. A strong background in (statistical, deep) machine learning is required and knowledge in natural language processing would be appreciated.
The thesis will mainly hold in Paris in a French speaking environment at QARE Ltd.
If you are interested by this position, please send the following information to Fanny Jacq ([email protected]), Xavier Briffault ([email protected]) and Gaël Dias ([email protected]):
- Detailed CV
- Transcripts of Bsc. and Msc. degrees
- Recommendation letters (up to 3)
Applications will be studied until the position is fullfilled or before 31st March 2022.
For more information, you can directly contact Gaël Dias ([email protected]).
Best regards, Gaël Dias.
Hello everyone, The Institute of Research in Computer Science of Toulouse is looking for an Engineer Specialized in AI (CDD 2 years) to participate in the computer developments of local and national research projects in artificial intelligence.
You will find below the job description and the application procedures:
https://www.michaelpage.fr/job-detail/ing%C3%A9nieure-sp%C3%A9cialiste-en-ia-hf/ref/681608
Sincerely
Jacques Thomazeau IRIT - Computer
Science Department UNIVERSITY TOULOUSE III - Paul Sabatier Tel. +33 5 61 55 61 73 http://www.irit.fr
http://osirim.irit.fr
Hello We have several positions for a postdoctoral fellowship or as a research engineer in the HCI Sorbonne group(https://hci.isir.upmc.fr)at Sorbonne University, Paris, France.
Missions: We are looking for curious people who want to carry out research projects at the intersection of HMI with (choice) VR, haptics, robotics or AI. Possible topics are:
New VR interaction techniques, VR and Haptic for gaming and/or learning, Computational models for decision-making and human performance, AI-based recommendation systems, remote operation and remote collaboration.
Examples of recent work in these areas include: CoVR (UIST21): https://dl.acm.org/doi/10.1145/3379337.3415891
AI-based Recommendation systems (CSCW 21): https://dl.acm.org/doi/abs/10.1145/3476068?sid=SCITRUS
Adapting UIs with Reinforcement Learning (CHI 21): https://dl.acm.org/doi/abs/10.1145/3411764.3445497
Mixed Control of Robotic systems (CHI 20): https://dl.acm.org/doi/10.1145/3313831.3376795
Profile sought: For a post-doctorate, a PhD in HMI or a field related to the HMI is required. Required skills:
Strong programming and analytical skills, Solid experience in at least one of these fields: HMI, VR, Haptics, Robotics, AI.
More information: Type of position: Postdoctoral Fellow or Research Engineer
Contract start date: as soon as possible
Duration of the contract: 1 to 2 years
Desired level of study: Master 2 (for engineer), PhD (for post-doc)
Host laboratory: ISIR (Institute of Intelligent Systems and Robotics), Pierre and Marie Curie Campus, 4 place Jussieu, 75005 Paris.
Contacts : gilles.bailly(at)sorbonne-universite.fr ; sinan.haliyo(at)sorbonne-universite.fr
Link to the announcement: https://www.isir.upmc.fr/us/oppotunites/
The Maison des Sciences de l'Homme Val de Loire is recruiting a développeur.se semantic web.
Under the responsibility of the DU, the person recruited will carry out a research and development mission for the publication and querying of SHS data in the semantic web.
In collaboration with the engineer in charge of publishing the datasets, he/she will deploy a tool for configuring the graphical query editor in Javascript (Sparnatural) for the different disciplines of the SHS and will work on its integration with different data exposure platforms. The research will focus on the simultaneous querying of independent data graphs through query federation or mediation processes.
Full profile: https://www.msh-vdl.fr/news/job-offer- developer-web-semantic-h-f-2/
Starting on March 15, 2022.
Candidates are invited to submit, before February 10, 2022,a CV of up to 2 pages, with a cover letter and possibly letters of reference only in PDF format and electronically to lydia.seabra[a]univ-tours.fr.
Feel free to show this ad in your networks.
Sincerely, Laurence Rageot Coordinator of the digital workshop Maison des Sciences de l'Homme Val-de-Loire | UAR 3501 33 Allée Ferdinand de Lesseps - BP 60449 - 37204 TOURS cedex 03 Tel : +33 (0)2 47 36 14 86http://www.msh-vdl.fr/
Hello 3 Teacher-Researcher positions are open to the competition for the start of the 2022 academic year at the Jean Monnet University of Saint-Etienne with pedagogical assignment at Télécom Saint-Etienne (internal school at Jean Monnet University and affiliated with the Institut Mines Télécom) and research assignment at the Hubert Curien laboratory (LabHC, UMR CNRS 5516) on the following profiles (more information below):
-1 PR Section 61-27 position, profile: Image processing and AI
-1 MC position Section 27, profile: Learning Statistics
-1 MC position Section 27, profile: Data Science
Website: Télécom Saint-Etienne: https://www.telecom-st-etienne.fr
Hubert Curien Laboratory: https://laboratoirehubertcurien.univ-st-etienne.fr
Please broadcast this announcement to anyone interested.
Simplified profiles:
*Position PR 61-27 Image Processing and AI Pedagogy: The person recruited will join the pedagogical team of the "computer science" and "images" themes of Télécom Saint-Etienne.
Keywords: digital image processing: methodological aspects and uses in industrial applications, computer science: methodologies and algorithms of artificial intelligence and their uses in companies.
Research: The person recruited will be in charge of strengthening transversal scientific collaborations between the "Image Science and Computer Vision" and "Data Intelligence" teams of the laboratory. Keywords: Optimization and learning of parsimonious models; Analysis of weak signals; 3D reconstruction; Image denoising.
The candidate must have a profile allowing the development of high-level and ambitious scientific projects vis-à-vis the international state of the art.
Contacts: -Pedagogy: Bruno Sauviac, (Director of Training), [email protected] -Research: Marc Sebban, Deputy Director of the Hubert Curien laboratory, [email protected] *Position MC 27 - Statistical Learning
Research: The application must present a quality integration project in statistical learning within the "Data Intelligence" team of the "Computer Science-Security-Image" department of the Unit. Keywords: Statistical learning theory; Transfer learning, domain adaptation; Optimal Transport for Machine Learning; Learning representations; Unbalanced learning; Learning parsimonious, frugal, interpretable, fair models. Activities at the Machine Learning and Physics interface would be a plus.
Pedagogy: The recruited lecturer will join the teaching team of the "IT" theme of Télécom Saint-Etienne. Keywords: introduction to computer science (algorithms, programming (C++/Python), the web or operating systems); introduction to artificial intelligence and machine learning, advanced python programming (PyTorch or Tensorflow), big data processing; sensitivity to software eco-design.
Contacts: Pedagogy: Bruno Sauviac, (Director of Training), [email protected], Charlotte Laclau (IT Sector Manager), [email protected] Research: Amaury Habrard, Data Intelligence Team Manager - [email protected]
*Position MC 27 - Data Science
Research: The application must be integrated within one of the 3 teams of the "Computer Science-Security-Image", "Data Intelligence", "Image Science and Computer Vision", and "Secure Embedded Systems and Hardware Architectures" department, or at the interface of these teams. Keywords: data/complex data representation training; graph analysis; Anomaly detection analysis of unbalanced data; learning parsimonious models; data science for physical security.
Pedagogy: The recruited lecturer will join the teaching team of the "IT" theme of Télécom Saint-Etienne. Keywords: algorithmics and C/C++ development (including object-oriented programming, event programming, advanced algorithmics), software engineering; data and big data (cloud computing, underlying software architectures), data analysis (elementary, tabular or textual data); sensitivity to software eco-design.
Contacts: Pedagogy: Bruno Sauviac, (Director of Training), [email protected], Charlotte Laclau (IT Sector Manager), [email protected]
Research: Lilian Bossuet, Director of the Computer Science-Security-Images Department - [email protected]
Amaury Habrard Université Jean Monnet de Saint-Etienne Laboratoire Hubert Curien - UMR CNRS 5516 18 rue du Professeur Lauras 42000 Saint-Etienne Cedex 2 - France
Tél : (33) (0)4 69 66 32 64 mail : [email protected]
Colleagues ENSAI opens a teacher-researcher position in Machine Learning/Computer Science.
Applications from other fields of COMPUTER science but with strong expertise in Machine Learning will also be considered. The application deadline is April 19, 2022.
https://ensai.fr/recruitment-computer-science/
We recruit senior profiles (associate professor, tenured), but also junior profiles (assistant professor, tenure-track).
Please broadcast this announcement to anyone who would be interested.
Sincerely, Romaric Gaudel ENSAI & CREST Personal homepage
Hi all There are two internship offers at LaBRI, Bordeaux:
Stage 1: "Reasoning with Hard and Soft Constraints to Repair and Query Inconsistent Data"
* Profile: We are looking for someone with a strong foundation in logic, and experience in one or more of the following areas: knowledge representation and automatic reasoning (in particular: description logics, non-monotonous reasoning), database theory, Semantic Web (ontologies), and theoretical computer science.
Stage 2: "Ontology-Driven Phenotyping from Electronic Health Records" * Profile: We are looking for someone with experience in knowledge representation (ontologies, description logics) and medical informatics. Knowledge of biology or medicine would be an asset.
For both internships, there is the possibility of a thesis pursuit, funded by the INTENDED IA Chair ("Intelligent Handling of Imperfect Data").
You can find more information on the project website: https://intended.labri.fr/hiring.html
Please forward this announcement to students who may be interested and encourage them to contact them as soon as possible.
Sincerely, Meghyn Welcome CNRS Senior Research Scientist
LaBRI, University of Bordeaux https://www.labri.fr/perso/meghyn/