Job : Postdoc (2 years), NLP and DL against pandemics, Institut Pasteur



  • NLP and deep learning against pandemics (2 year postdoc) Collaborative project "ComCorText"


  • Keywords: NLP, AI, deep learning, epidemiology, risk factors, outbreak detection.


  • Host lab: Imaging and Modeling Unit (https://research.pasteur.fr/en/team/imaging-and-modeling/), Institut Pasteur (https://www.pasteur.fr/en), Paris, France


  • Collaboration with the Epidemiology of Emerging Diseases Unit (https://research.pasteur.fr/en/team/epidemiology-of-emerging-diseases/) ( Institut Pasteur) and Sanofi


  • The COVID-19 pandemic has abundantly illustrated the importance of quickly identifying the factors that increase or decrease pathogen transmission.


  • An early understanding of the airborne nature of SARS-CoV-2 transmission, for example, could have helped slow down the pandemic and reduce its human burden.


  • In this project, we will explore the potential of natural language processing (NLP) methods to automatically identify risk factors and protective factors by analyzing large corpora of unstructured text.


  • This project takes advantage of the unique resource provided by the ComCor study, which contains free text descriptions of suspected circumstances of contamination from >50,000 individuals tested positive for COVID-19, totaling well over 500,000 words. The proposed project will mobilize state-of-the-art NLP techniques based on deep learning, such as contextualized word embeddings learned by transformer models (e.g. BERT).


  • Methods developed in this project will be tested and validated primarily (but not exclusively) on the ComCor data set in collaboration with the Epidemiology of Emerging Disease Unit of A. Fontanet.


  • Once validated, we will also explore applications of these methods to other text data sets, including social media and data obtained in the framework of the AIOLOS project. AIOLOS is a French-German research program, that aims at supporting decision-making by integrating information from various sources to detect early signs of a new outbreak, monitor its spread and derive appropriate response measures.


  • A total of 17 partners (5 main partners, including Sanofi and Fraunhofer and 12 associated partners, including Institut Pasteur) are involved in this project.


  • We are looking for a highly motivated and autonomous candidate with a solid background in NLP or related fields to lead this project.


  • Please send applications (motivation letter + CV with names of 2-3 references) to Ch. Zimmer ([email protected]) and Tiffany Charmet ([email protected])


Offre de thesis : CIFRE, Dynamic Human-Agent Interactions adapted to users’ profiles, L3i / EasyChain (La Rochelle / Niort)



  • Hello, The young company EasyChain and the L3i research laboratory in La Rochelle are launching a call for applications for a CIFRE doctoral position in the field of conversational agent development.


  • Details of the offer are described here [1].


  • The start of the thesis is scheduled for September and a possibility of hiring the successful candidate at EasyChain before the start of the thesis.


  • The candidate must hold a master's degree or equivalent in computer science or automatic language processing. A strong background in machine learning and good communication in English are required.


  • The thesis will take place mainly in Niort at EasyChain, in a French-speaking environment.


  • If you are interested in this position, please send the following information to Antoine Doucet ([email protected]) and Ahmed Hamdi ([email protected]:


  • - Detailed CV - Bachelor's and Master's degrees. - Letters of recommendation


  • Applications will be considered until 01 March 2022.


  • Contacts at the university: Antoine Doucet ([email protected]) and Ahmed Hamdi ([email protected])


  • Contacts at Easychain: HO Hoang Nam ([email protected]) and Richard DORARD ([email protected])


  • Sincerely, Ahmed Hamdi LABORATOIRE L3I [email protected]


  • Links: ------ [1] https://urlz.fr/hfR0


Research engineer / INRIA Montpellier, fixed-term contract 36 months



  • Hello, We are looking for a Research Engineer, for a period of 3 years on a research project (Promise), whose profile is given below .


  • Sincerely, ************ Job title: Creation of a data warehouse for the integration of antimicrobial resistance data Duration of the contract: 3 years


  • Job description This position is proposed as part of a research project (Promise, https://pro.inserm.fr/wp-conte nt/uploads/2021/12/brochure-PROMISE.pdf ) whose objective is to create a data warehouse to integrate data from project partners related to antibiotic resistance.


  • The development of the data warehouse will be carried out in collaboration with the Zénith team of the National Institute for Research in Digital Sciences and Technologies (INRIA).


  • The Zenith team, an expert in scientific data management, has a solid experience in processing large amounts of data produced by different methods.


  • The main activities of the recruited person are: • Design a data warehouse to store large volumes of data.


  • • Exchange with partners to best establish the meaning and possibilities. questioning the data, in particular by crossing them with those of other partners.


  • • Integrate partner data into the data warehouse.


  • • Create web pages to view query results and update data.


  • Technical skills and level required: • Experience in the development of NoSQL data management systems, in particular MongoDB or Cassandra.


  • • Knowledge of website development.


  • Gross Salary Between 2500 and 3800 Euros gross monthly (depending on the candidate's experience).


  • Place of work Zenith team, Montpellier


  • Contact Reza Akbarinia: [email protected]


  • Florent Masseglia: [email protected]


Postdoctoral Fellowship in Computer Vision Stirling UK



  • Currently, at University of Stirling, UK, we have a vacancy for one research associate/assistant in computer vision to work on an interesting industrial project for food recognition. The RA will be joining the vibrant Stirling Vision and Image Processing research group (http://vip.cs.stir.ac.uk/).


  • The position is for 12 months (initially) and is extendable, subject to further funding. Details:


  • Apply here: https://bit.ly/3FTX53L


  • Deadline: Tuesday 15 February 2022


  • Start date: 1 April 2022 or as soon as thereafter.


  • Feel free to contact Dr Deepayan Bhowmik ([email protected]) for any enquiry.


  • Sincerely, Dr. Mohamed Elsayed Elawady


  • Lecturer in Data Science, University of Stirling PhD in Computer Vision, Lyon University EU MSc in Computer Vision & Robotics, VIBOT


Funded thesis offer - ICube, Strasbourg, France: Learning invariant representations to the domain for the analysis of time series of remote sensing images.



  • The SDC (Data Science and Knowledge) team of the ICube laboratory (University of Strasbourg), in collaboration with CNES, is offering a contract for a thesis in October 2022


  • Title: Domain invariant interpretable representation learning for satellite image time-series


  • The objective of this thesis is to study and develop models for the learning of invariant representations by domain (Deep Learning) for the analysis of time series of satellite images.


  • This thesis co-financed by CNES and the Industrial Chair in Data Sciences and Artificial Intelligence will be directed by Thomas Lampert and Pierre Gançarski.


  • To apply, send an email to [email protected] and [email protected] by attaching imperatively:


  • a cover letter explaining your qualifications, experiences and motivations;


  • a curriculum vitae


  • all the information about your university course: courses, diplomas obtained, transcripts as well as your ranking for each of the years of Master's degree or equivalent for engineering schools;


  • and if possible, contact details of persons (teachers or others) who may provide information about your skills, motivation and work.


  • As the deadline for submitting applications to CNES is March 2022, candidates must contact us as soon as possible to give us time to study their application and organise an audition if necessary.


  • The possibility of doing a rewarded M2 internship within the SDC team is also possible, even encouraged. Do not hesitate to inquire.


  • --Pierre Gançarski / Thomas Lampert Detailed Description: https://drive. google.com/file/d/1_eil1utHBjfTwhmXQjR6VUM07jbJkYgk/view?usp=sharing


Job offer to broadcast: animation on artificial intelligence



  • 2-week CCD: scientific mediator on the theme of intelligence artificial


  • Job Description : The mission of the mediator is to make artificial intelligence better known to an audience for the mostly newbies at the CCAS Holiday Village Summer Science Festival from February 13 to 27 February 2022.


  • He or she will have to guide, accompany and inform the beneficiaries, but also to manage a group ranging from 5 to 15 people in pairs.


  • On site, the mediator must animate: • Morning and afternoon workshops on artificial intelligence


  • • Quizzes at the start of the evening


  • • One debate per week in the evening


  • Description of the profile sought: • Knowledge of artificial intelligence


  • • Knowledge of computer mediation and unplugged computing


  • • Likes to learn and pass on his knowledge


  • • Strong teaching skills


  • • Serious, curious, jack-of-all-trades and rigorous


  • Description of experience sought: • Experience in mediation would be a plus


  • • Experience in mediation with various audiences


  • • Excellent communication skills


  • • Permit B desired


  • Working conditions : • Full-time, fixed-term contract.


  • • Reporting line: project manager.


  • • Remuneration: €12.50 gross per hour.


  • • Places: preparation in the premises of the ASTS then activities in the CCAS holiday villages (Alps Provence, Two Savoys)


  • Employer and partner: ASTS is an association of scientific and technical culture and debates Citizens, created in 1981. Its mission is to debate the challenges posed to society by scientific developments and technological developments.


  • The CCAS or central fund for social activities is the organization that manages social activities including stays holidays, insurance and company catering for agents of the electricity and gas industries in France.


  • She has been organizing with the ASTS for many years science festivals where many themes are addressed through various activities and debates.


  • Send LM + CV by e-mail: [email protected]


Urgent: Post-doc 18 months in unsupervised learning (M/F)



  • Hello Sorry for the multiple reception.


  • The details of the subject are available here: https://bit.ly/3s1fB6X


  • Best regards Mustapha Lebbah


  • Sorbonne University Paris Nord,Laboratoire d'Informatique de Paris-Nord (LIPN), CNRS(UMR 7030), 99, BC ClémentF-93430 , Villetaneuse, France.


  • Tel: +331 49 40 38 94Fax : +331 48 26 07 12


  • http://www-lipn.univ-paris13. en/~lebbah


Postdoc position 12 months on Image Processing (Tracking, Pattern Recognition) & Eye Tracking at CNRS UMR6072 GREYC, Caen, France



  • Keywords: Eye Tracker, Point of gaze spatiotemporal tracking, Pattern Recognition


  • Starting date: as soon as possible


  • Duration: 1 year


  • Summary of the project: The DynACEV – Eye Tracking project is co-funded by the French National Agency of Research (ANR) and the Regional Council of Normandy. It combines knowledge and methodologies in the human movement sciences, computer sciences and applied mathematics. The primary aim is to investigate visual-motor skill acquisition in climbing task during a learning protocol where various performance contexts are tested: constant practice, variable practice where the rate of novelty is imposed by the experimenter and variable practice where the rate of novelty is chosen by the participant. During this protocol, we particularly focus on studying how vision guides action by tracking and mapping the visual fixation, the hip trajectory and the hands and feet location into the climbing wall plan.


  • The objective of the work is to track the spatiotemporal coordinates of the point of gaze of a climber and to analyse the scan path of his/her visual intake during ascension on an artificial climbing wall. The data are already collected and correspond to:


  • - Eye tracking information from Tobii eye tracker system; it provided video of the local scene and visual fixation, saccade, pursuit, etc. We also record additional colored markers that we put on the wall to enrich the number of areas of interest in order to better recognize the local scene.


  • - Location and time of contact of the hands and feet (through instrumented holds)


  • - External video of the climbing wall from a calibrated monoscopic camera


  • - 2D external video (from GoPro5) of the climber (especially the hip trajectory, projected on the wall plan)


  • Required skills: The required skills can be a subset of the following topics: - Pattern recognition


  • - Image processing


  • - Deep Learning


  • The candidate is requested to have a PhD in Image and/or Signal processing. An important knowledge of programming languages Python or C is primordial.


  • How to apply: Please, send:


  • - A full detailled CV including a complete list of publications


  • - A motivation letter


  • - Any document that could justify the quality of the application


  • to: [email protected] and [email protected]


MAESTRO Postdocs in surgical robotics (Oxford and Imperial) - Jan 31



  • The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking 1/2 Postdoctoral Researchers in #AI for the Operating Room of the Future, to be appointed as soon as possible, full-time, until December 31 2022.


    • ***Candidates with background in action and activity detection are strongly encouraged.***


    • Deadline: Jan 31 2022. Salary: £32,344 rising annually to £35,326.


    • The Postdoc(s) will lead the Lab’s efforts in the context of a new #EPSRC Transformative #healthcaretechnology project entitled “MAESTRO Jr - Multi-sensing AI Environment for Surgical Task & Role Optimisation”, and led by Dr George Mylonas of Imperial College London.


    • https://lnkd.in/eSWAHhqZ The project’s overarching objective is to take radical steps towards the development of an AI-centred #operatingroom of the 2050s. It envisages a #smart operating room environment (which we term MAESTRO, in analogy with the way an orchestra conductor, a 'maestro', oversees, overhears and directs a group of people on a common task) powered by trustable, human-understanding #artificialintelligence, able to continually adapt and learn the best way to optimise safety, efficacy, teamwork, economy, and #clinical outcomes.


    • In particular the #postdoc will lead the work on multi-sensing #situationalawareness for automated #checklisting (in particular object, action and activity detection from a network of RGB-D cameras and 3D object detection), detection of #cognitive overload in #surgical staff, and #continuallearning for #perception and #decisionmaking.


    • The Visual Artificial Intelligence Laboratory https://lnkd.in/e_mABMr


    • is a fast-growing research unit currently running on a budget of £3 million from nine live projects funded by #horizon2020 (2), #innovateuk (2), #Leverhulme, @Huawei, the British Council and others. We are leaders in the field of #deeplearning for #actiondetection and event detection, but our research interests span artificial intelligence, #uncertainty theory, #machinelearning, #computervision, #autonomousdriving, surgical and mobile #robotics, #aihealthcare. The Lab is currently pioneering frontier topics in AI such as #machine theory of mind, self-supervised learning, continual learning and future event prediction.


    • You will join a vibrant and fast growing team foreseen to comprise 35+ people in 2022. You will support Prof Cuzzolin in the overall management of the project. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations, mentor #phd and #msc students and seek additional external #funding to complement the Lab’s existing activities.


    • You are encouraged to contact Prof Cuzzolin at [email protected] for more information and an informal feedback on your application.


    • To apply, please follow the instructions here: https://lnkd.in/g_esfDmp


2 Postdoc positions in 3D scene understanding from multi-modal data - (2200000J)



  • Commitment & contract: up to 2 years, collaboration contract


    • Location: Italian Institute of Technology (IIT), Genoa, Via Enrico Melen 83, Italy


    • WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience.


    • YOUR TEAM You’d be working in the multicultural and multidisciplinary PAVIS group, where a team of 30 international Researchers, Postdocs, Ph.D. and Engineers enjoy working in cutting-edge Computer Vision and Machine Learning research. PAVIS infrastructure comprises a multi-modal sensor network (RGB, depth, event-based, thermal, lidar cameras) used for deploying AI systems for scene understanding and behavioural analysis and the availability of an HPC with more than 62 GPU nodes to run large scale training and deployment of ML models.


    • The PAVIS Research Line is coordinated by Dr. Alessio Del Bue. The research focuses on developing novel Artificial Intelligence (AI) systems to understand our 3D physical space and the human behaviours within it. The aim is to create assistive AI systems that can automatically react and support humans in their daily life by analysing and forecasting activities and their interaction with the environment. We work towards this goal by developing new Computer Vision and Machine (Deep) Learning methodologies that can be readily deployed in realistic applications.


    • The specific research topics of interest for this call are: - Object 3D localization from multi-modal sensors - Semantic Structure from Motion and SLAM - 2D/3D scene understanding using Graph Neural Networks - Deep learning models subject to multi-view geometry constraints - Retrieval and Knowledge-based Computer Vision in large-scale 3D maps


    • Within the team, your main responsibilities will be: - Develop new methods for 3D scene understanding from multi-modal data (images, audio, and text) to solve practical problems in Computer Vision - Publish in top-tier Computer Vision and Machine Learning conferences and journals


    • WHAT WOULD MAKE YOU SHINE - A PhD in Computer vision, including Machine Learning, Robotics, or similar disciplines


    • - Documented experience on 3D vision, scene understanding and related fields - A strong publication record


    • - Excellent programming skills in Python and/or C/C++ - The ability to properly report, organize and publish research data - Good command in spoken and written English


    • EXTRA AWESOME - Experience in collaborative software development. Good knowledge of tools like GIT - Experience in Linux operating system and familiarity with deep learning libraries and dependencies (CUDA, Pytorch, Pytorch3D, Tensorflow, Tensorflow3D)


    • - Experience on DNN and Graph Neural Networks - Experience in deploying DNN models on HPC platforms - Good communication skills


    • - Strong problem-solving attitude - High motivation to learn - Good in time and priority management


    • - Ability to work in a challenging and international environment - Ability to work independently and collaboratively in a highly interdisciplinary environment


    • COMPENSATION & BENEFITS - Competitive salary package for international standards - Private health care coverage - Wide range of staff discounts


    • WHAT’S IN FOR YOU? An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us!


    • We like contamination and encourage you to mingle and discover what other people are up to in our labs!


    • If paperwork is not your piece of cake, we got you! There’s a specialized team working to help you with that, especially during your relocation!


    • If you are a start upper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations.


    • If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!


    • We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission!


    • If you feel this tickles your appetite for change, do not hesitate and apply!


    • Please submit your application using the online form at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2200000J and including a detailed CV, cover letter (outlining motivation, experience and qualifications) and contact details of 2 referees.


    • Application’s deadline: February 17th 2022


    • We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.


    • Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.


    • Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: [email protected] - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening).



PhD position on Non-Monotonic Reasoning for Personal Agents (University of Twente)



  • PhD position on Non-Monotonic Reasoning for Personal Agents


    • Project: Hybrid Intelligence


    • Keywords: non-monotonic reasoning, computational logic, user modelling


    • Offer: fully funded 4-year PhD position at University of Twente, The Netherlands Application: https://www.utwente.nl/en/organisation/careers/!/334/phd-position-on-non-monotonic-reasoning-for-personal-agents


    • Deadline for application: February 11th, 2022


    • JOB DESCRIPTION Digital information technology is increasingly interwoven with our society and individuals' daily lives. With these digital technologies tracking and influencing our everyday behavior, they should align with the user’s needs and values. To achieve this, personal agents need to model the user’s informational and motivational attitudes such as goals, values, norms, beliefs, and their interrelations in order to derive support actions that are aligned with the user. This is challenging because 1) conflicts may occur in the user’s motivations, and 2) the user’s state and motivations may change over time and in different contexts.


    • We offer a fully funded 4-year PhD position to investigate how non-monotonic reasoning techniques such as belief revision, argumentation, defeasible reasoning, inconsistency handling, and reasoning about actions can be employed for user modelling in the context of personal agents. Questions that can be addressed are for example: Which types of update operations on user models are required? Is a new norm in conflict with existing desired behaviors? Can belief revision techniques be adapted for run-time norm revision? With this we lay the foundations for flexible and value-aligned personal agents that give people agency over their lives with digital technology.


    • The position is associated with the Hybrid Intelligence Centre (https://www.hybrid-intelligence-centre.nl), a 10-year Dutch national research program which investigates how we can create AI that augments, instead of replaces human intelligence.


    • REQUIREMENTS The prospective candidate is expected to perform and publish high quality and internationally visible research, and be involved in teaching and student supervision to a limited extent.


    • Profile: - You hold or will soon hold a Master's degree (or equivalent) in computer science, artificial intelligence, or a related field;


    • You have excellent proficiency in English in speaking and writing (C1; above IELTS 7 or equivalent);


    • You have good communication skills, take initiative, and have an interest in working in a multidisciplinary environment;


    • You have interest and some experience in one or more of the following, or related topics: logic-based agents, knowledge representation and reasoning, formal methods, or non-monotonic reasoning.


    • WHAT WE OFFER The position is embedded in the Human Media Interaction (HMI) department at University of Twente. HMI is a friendly and welcoming research group, with attention to employee wellbeing. The terms of employment are in accordance with the Dutch Collective Labour Agreement for Universities (CAO) and include:


    • - A fulltime PhD position for four years, with a qualifier in the first year.


    • - Full status as an employee at the UT, including pension and health care benefits.


    • - The salary will range from € 2.434,- (1st year) to € 3.111,- (4th year) per month, plus a holiday allowance of 8% and a year-end bonus of 8.3%;


    • - A solid pension scheme;


    • - a minimum of 29 leave days in case of fulltime employment, based on 38 hours a week. A week schedule of 40 hours would result in 12 extra leave days; - Excellent facilities for professional and personal development.


    • HOW TO APPLY Applications will be accepted until the position has been filled. The first round of interviews will be conducted based on applications received up to and including February 11th, 2022. The preferred starting date is between May 1st 2022 and September 1st 2022. Informal inquiries about this position can be sent to Birna van Riemsdijk ([email protected]).


    • More information about how to apply, and about the HMI research group and the University of Twente can be found via this link.


    • https://www.utwente.nl/en/organisation/careers/!/334/phd-position-on-non-monotonic-reasoning-for-personal-agents