Engineer or Post-doctoral research position



  • Analysis of time series in robotic surgery Key words: machine learning on time series, clustering, classification, average time series


  • Context Surgical robotics is now widely used with, for instance, more than 5000 Da Vinci systems and one million procedures performed worldwide. Surgery is a complex activity, in a very small anatomical volume, and with a lot of variability between patients and between surgeons. The global objective of the two-year SPARS (Sequential Pattern Analysis in Robotic Surgery: Understanding Surgery) project led by the MediCIS team (LTSI (1), Inserm, Rennes 1 University) is to develop data analysis approaches being able to provide a better understanding of the surgical practice, from complex surgical data. The approaches will be developed thanks to the complementary skills available in the project’s consortium, including time series analysis. In this consortium, the IRISA laboratory (Rennes and Vannes) is calling for applications for a post-doctoral research position (duration two years) on time series analysis.


  • (1) Laboratoire Traitement du Signal et de l'Image


  • Missions In the SPARS project context, a trajectory compiles information on the 3D location of the tip of a surgical instrument at the hands of the surgeon, at a constant frequency. The candidate will be mostly involved in one of the three workpackages of the SPARS project. A first task will focus on clustering and classification for such trajectories. Various practical objectives are pursued, including the generation of a model corresponding to a cluster or a class, the characterization of operating modes specific to a type of patient or a type of surgeon, the provision of advice to practitioners in the case of robotic surgeries that are not or not very well documented, the identification of the level of expertise of a practitioner, the prediction of the surgical procedure to be chosen according to the type of patient. These investigations will use dissimilarity measures based on temporal alignment, as DTW [SC71] or elastic kernels as proposed in [CVB07], [CB17] and [M19a]. This task will also address co-clustering for trajectories. The investigations will focus on how to combine time series with other types of data for a co-clustering purpose, using either deep learning [XCZ19] if enough data is available, symbolic representation [BBC15] or latent block [BLN20] models that all need to be adapted to the specificity of kinematics data.


  • Once a cluster or a class is obtained, another task will be to compute an average trajectory from a set of trajectories. The practical objectives will be the following: highlight deviations from the average trajectory that are potentially interpretable (as characteristics of the practitioner, or of the patient, for example) ; identify the best operating mode to young practitioners or trainees if it is possible to correlate the operating mode with clinical results. Intuitively, on the graphical representation of a time series, variability related to temporality (phase) concerns the abscissa axis, and variability related to shape concerns the ordinate axis. To compute a consensus trajectory, the second task of the package will examine how to extract the atemporal form and the variable component related to temporality, assuming that this atemporal form may be interpreted as an approximation of the consensus. The problem of shape and phase separation has been studied in [PZ16], [SSV10] and [M19a]. The second task will examine how to improve the preliminary work in [M19b], notably by proposing other kernels.


  • Requirements for this position Doctorate in computer science, applied mathematics and computer science, or mathematics, with a specialization in machine learning


  • Master's degree in computer science, applied mathematics and computer science, data science, or mathematics with a specialization in machine learning. - strong knowledge and solid experience in temporal data analysis,


  • - mastery of data manipulation, relying on machine learning libraries,


  • - programming experience, good programming skills (notably in Python) and technical ability to manage a code development project,


  • - ability to work in a team, and report on the progress of work.


  • Some knowledge in deep learning will be a plus.


  • The personal qualities expected are mostly autonomy and interest in interdisciplinarity (health), as well as writing skills (both in French and English). Fluency in French will be a plus.


  • Work environment Location: Institut de Recherche en informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 - Campus Beaulieu, 263 Av. Général Leclerc, 35000 Rennes


  • Duration: 24 months – Applications will be accepted until the position is filled. Host team: LINKMEDIA


  • The successful candidate will work with four academic researchers from IRISA / Rennes / LINKMEDIA team (Simon Malinowski, Associate Professor in Computer Science), IRISA / Vannes / EXPRESSION team (Pierre-François Marteau, Full Professor in Computer Science), LS2N (2) / Nantes / DUKe team (Christine Sinoquet, Associate Professor with French Accreditation to supervise Research (HdR)) and INSERM / Rennes / LTSI MediCIS team (Pierre Jannin, Directeur de recherche INSERM, HdR). The successful candidate will collaborate with the partners in the project, among which the other post-doctoral fellow involved in the project and the project partners experts in surgery and in surgical data analysis.


  • (2) Laboratoire des Sciences du Numérique de Nantes : UMR CNRS 6004


  • Income: 2160,26 euros before taxes monthly


  • How to apply? Documents to be provided :


  • Profile with Doctorate:


  • - detailed Curriculum Vitae including a complete list of publications - letter of motivation indicating the candidate’s research interests and achievements to date,


  • - a selection of publications,


  • - letters of recommendation for the current year,


  • - contact details of two referees (at least) with whom the candidate has worked (first name, surname, status, institution (give details of acronyms if applicable), city, e-mail address, telephone number)


  • Profile with Master degree: - detailed Curriculum Vitae


  • - letter of motivation,


  • - Master 2 marks (with rank and number of students in the year)


  • - letters of recommendation for the current year,


  • - contact details of two referees (at least) with whom the candidate has worked (first name, surname, status, institution (give details of acronyms if applicable), city, e-mail address, telephone number)


  • Questions or application files (zip archive only) should be sent to the four contact persons below:


  • [email protected]


  • [email protected]


  • [email protected]


  • [email protected] (SPARS project leader)


  • Simon Malinowksi http://people.irisa.fr/Simon.Malinowski/


  • Christine Sinoquet https://christinesinoquet.wixsite.com/christinesinoquet


  • Pierre-François Marteau https://people.irisa.fr/Pierre-Francois.Marteau/


  • Pierre Jannin https://medicis.univ-rennes1.fr/members/pierre.jannin/index


Job: CDD (10 months), Design engineer, FRLC (Univ. Strasbourg)



  • Here is an announcement of a fixed-term contract for 1 design engineer position.


  • The Language and Communication Research Federation (University of Strasbourg) offers a design engineer contract


  • Duration: 10 months


  • Desired start: March 2023


  • Job Profile: Digital Humanities, Corpus Linguistics


  • Description The Language and Communication Research Federation (FRLC) brings together researchers in language sciences, digital sciences, sciences of information and communication, social sciences and psychology cognitive.


  • The work of the FRLC is structured around the theme of inclusion through language and communication, titled “Language, Communication, Remediation, from exclusion to inclusion”. We study language and communication phenomena that are exclusion factors for several categories of public:


  • loss vocabulary for the elderly, difficulties in expressing emotions for patients with acquired brain injury, foreign learners or learners with disabilities (dyslexia) or migrants who do not speak the language of the host country, verbal abuse towards certain people or groups of people. These phenomena can be expressed at the individual and/or collective level.


  • The backup language heritage (digitizing documents, creating corpuses in poorly endowed languages, create corpora based on data from the Web that are ephemeral, keep interviews with people in difficulties) is part of our actions to fight against social exclusion individuals and communities. In this perspective, the FRLC has as ambition to create a corpus making it possible to study the reasons for exclusion by language, by society or by communication. He would be to collect data to illustrate certain


  • phenomena, to federate data that have been collected within the framework FRLC AAPs that deal with the various problems of exclusion, document this data to comply with the FAIR principle (Findable, Accessible, Interoperable, Reusable).


  • Activities - document and organize existing data within the FRLC - participate in the collection of new data and support the various FRLC projects in an interdisciplinary framework


  • - perform quantitative and qualitative analyzes of data - participate in the presentation of results


  • - organize seminars, JE and working groups of the FRLC


  • Required Skills We are looking for someone who has at least the equivalent of an M2 in the field of Digital Human Sciences, Language Sciences


  • 1) Skills in the field of digital humanities, corpus linguistics - constitution and documentation of representative corpus allowing to study the various aspects of exclusion through language and communication


  • - mastery of corpus exploitation tools - mastery of statistical analysis techniques


  • - mastery of the TEI will be a plus - mastery of basic annotation tools (labeling, analysis syntax, named entities)


  • 2) Organizational skills - flexibility to support the various projects of the FRLC (interest in interdisciplinarity) - team work


  • - management of the organization of seminars, working groups (reservation of rooms, display, mailing, …)


  • 3) Language skills - Perfect command of the French language and ability editorial


  • - English proficiency


  • How to apply Send the file (CV, cover letter, copies of diplomas, transcripts) to the address… before January 30, 2023. The retenu.es candidat.es will be auditioned in early February.


  • Contact Teacher. Amalia Todirascu, [email protected]


Five PhD projects at AI departement, IRIT, Toulouse



  • Five PhD projects are proposed by the Departement of Artificial Intelligence at IRIT (https://www.irit.fr/en/departement/dep-artificial-intelligence/), Toulouse:


  • Modèles dynamiques de réseaux de neurones à impulsions pour l’apprentissage et la reconnaissance d’images fortement bruitées Supervisors contacts: [email protected], [email protected], [email protected]


  • Detailed project: https://cloud.irit.fr/index.php/s/7yA7u9LibIWGZaW


  • Model Checking and Automated Mechanism Supervisors contacts: [email protected], [email protected] Detailed project: https://pagesperso.irit.fr/~Laurent. Perrussel/wp-content/uploads/sites/96/2023/01/Automated_Mechanism_Design_project_2023.pdf


  • Preference learning for e-Democracy Supervisors contacts: [email protected], [email protected] Detailed project: https://www.irit.fr/~Umberto.Grandi/IRITphd2023.pdf


  • Optimisation séquentielle sous-incertitude : approche pilotée par les données


  • Supervisors contacts: [email protected] Detailed project: https://tinyurl.com/382vawj5


  • Logics for Causal Explanations Supervisors contacts: [email protected], [email protected] Detailed project: https://tinyurl.com/2y3a88ha


Post-doc researcher in Distributed AI and multi-robot system At UCN



  • Postdoctoral Research Associate in Distributed AI applied to multi-robot systems evolving in populated environments


  • Objective : We are recruiting a Postdoctoral Research Associate to join our team in developing new models and algorithms of distributed decision-theoretic planning techniques under communication resources.


  • The project aim at developing a multi-robot system able to evolve in public spaces for assistance, guidance and surveillance tasks. The system is fully distributed and each robot evolves autonomously and making solely decisions to well behave and to well accomplish tasks. The issue in such systems is the coordination when the communication is limited and in some time periods is lacking.


  • Working context : The successful applicant will integrate our team MAD (Model, Agent and Decision) of the GREYC of the University of Caen Normandy and CNRS UMR6072, developing researches in Reasoning, Planning and decision-making under uncertainty and partial observability in the multi-agent settings and in interaction with humans.


  • Required Skills : - Strong knowledge in Planning under uncertainty in multi-agents settings, (DEC)-(PO)-MDP and (PO)-SG.


  • - Good knowledge in Robotics and ROS


  • - Very strong skills in programming (C++, Java, Python)


  • Deadline of application : 15/02/2023


Postdoctoral positon at Aix-Marseille University - Multi-view Topic-Modeling for Medical Report Analysis



  • Applications are invited for a full-time Post-doctoral Research Fellow position in Multi-view Topic-Modeling for Medical Report Analysis at Aix-Marseille University (France) with project partners at the UNIVERSITY HOSPITAL OF MARSEILLE (AP-HM).


  • The candidate will work on a cross-disciplinary collaborative project to develop advanced computational models to discover the evolving latent structures representing relationships/patterns in multi-view data from medical reports related to lung cancer.


  • The detailed application procedure can be found in the attached document.


  • For more information, please contact Dr. Rafika Boutalbi at [email protected]


Job : Postdoc (2 years), NLP and knowledge graphs, IRIT (Toulouse)



  • 2 year Post-doctoral Position at IRIT in NLP and KGs *


  • The ANR project ECLADATTA (involving IRIT, ORANGE, EURECOM) will start on March 15th, 2023. A detailed offer for a 24-month post-doc within the MELODI team of IRIT (Toulouse) will be published in early February 2023. This offer will focus on the joint extraction of relations in texts and tables for the enrichment of knowledge graphs.


  • The project partners will provide an annotated corpus, as well as a set of tools based on rules and/or machine learning algorithms. Each of the tools is dedicated to a specific task (extraction of relations from tables or from written text), and the objective of the post-doc is to propose approaches that will enable these tools to be improved by


  • mutual enrichment. In addition, the consistency of relations extracted from different sources (table, text, knowledge graph) should be cross-validated.


  • We are looking for a motivated, autonomous candidate, able to work in a team, fluent in English and French, competent in programming, and with research experience in natural language processing and/or semantic web and knowledge graphs.


  • *Contacts *: Nathalie Aussenac-Gilles ([email protected]) Mouna Kamel ([email protected]) Véronique Moriceau ([email protected])


PhD thesis in hybrid AI on spike-based neural networks



  • We are looking for motivated candidates for a thesis in Hybrid AI on the theme:


  • 1) Title of the offer: PhD thesis in hybrid AI on Spike-based neural networks 2) Duration of the contract: 36 months


  • 3) Expected hiring date: September 2023


  • 4) Remuneration: 1975 € gross monthly


  • 5) Level of education required: Master 2


  • 6) Desired experience: Computer science or mathematics


  • 7) Missions: The objective is to develop a neuroinformatics model that incorporates short-term working memory and a process of consolidating the backed up information in long-term memory. The network will be developed from Izhikevich pulse neurons. This model combines the biological plausibility of the dynamics of Hodgkin-Huxley type and computational efficiency of neurons at integration and shooting (Leaky and fire). It allows to reproduce Up to 23 types of neural behaviors including excitatory cortical neurons and cortical neurons inhibitors and memorize patterns via the development of oscillator networks. (See https://cloud.irit.fr/index. php/s/7yA7u9LibIWGZaW for more details.)


  • 8) Activities: This is a PhD potentially funded for a period of three years on the scholarship quota of the MITT Doctoral School (https://ed-mitt.univ-toulouse.fr/). The scholarship will be obtained at the outcome of a hearing that will take place around April.


  • 9) Skills: We are looking for a candidate who has worked in representation of knowledge and/or learning, with a good background mathematical, and interested in modeling and exploitation spike-based networks.


  • 10) Working context: The Institut de Recherche en Informatique de Toulouse (IRIT) is a of the largest computer labs in France. The study of Spiking Neurons Network (SNN) is an emerging theme within IRIT although already anchored in the AI Department (see ANR ALoRS project --Action, Logical Reasoning and Spiking networks-- from the LILaC team) and in others (SAMoVA or STORM in particular).


  • This thesis is part of a collaboration inter-teams LILAC, IRIT ADRIA and SARA (Services and Architectures for Advanced Networks) of LAAS-CNRS


Research engineer (1 year) expert in scientific computing



  • LERIA (Laboratoire d'Étude et de Recherche en Informatique d'Angers) is looking for a research engineer to support the laboratory's research activities.


  • Title: "Expert in scientific computing"


  • Job description: see attached


  • file Duration: 1 year


  • Salary: from 2109 € depending on experience


  • Application deadline: February 15, 2023 Desired start: February/March 2023


  • Research laboratory: Laboratory of Study and Research in Computer Science of Angers (LERIA), University of Angers, Angers, France.


  • Link for application and information: https://www.univ-angers.fr/fr/ university/working-a-l-au/administrative-and-technical/expert-e-in-computation.html


Postdoctoral Fellow



  • CEA List, a research institute of Paris-Saclay University, is looking for a Postdoctoral Fellow to join its laboratory of semantic analysis of texts and images.


  • In the context of the DeepGenSeq project, the person hired will integrate an interdisciplinary team aiming to move closer to the goal of predictive and generative artificial intelligence for biology by exploiting deep contextual language models of biological sequences, which representations generalize to several applications like the prediction of mutational effects.


  • BACKGROUND Exponential growth in sequencing throughput together with the sampling of natural (uncultured) populations are providing a deeper view of the diversity of proteins sequences across the tree of life. Proteins are molecular engines sustaining cellular life and the unobserved determinants of their structure and function are encoded in the distribution of observed natural sequences. Therefore, such vast amounts of (unlabeled) sequences provide evolutionary data that can form the ground for unsupervised learning of predictive and generative models of biological function.


  • Recent advances in machine learning, with the development of the transformer architecture, have allowed the emergence of powerful language models that can be used to model proteins sequences. Through transfer learning, the learned representations can be used to detect homology (i.e. the relatedness between two protein sequences), predict secondary and tertiary structures, predict residue-residue contacts or predict fluorescence landscape.


  • CHALLENGES AND OBJECTIVES Our focus here will be to develop high-capacity transformer-based language models on protein sequence data. Intrinsic organizing principles captured in the resulting representations can then be applied in transfer learning settings to different predictive sub-tasks using limited experimental data (e.g. the effect of sequence variation on protein function). Following promising recent results, we plan to also explore zero-shot inference with no additional training and/or supervision from experimental data.


  • Responsibilities: - Tune and optimize existing unsupervised transformer-based language models for protein sequences.


  • - Develop and optimize code and machine learning algorithms for predictive models.


  • - Integrate and analyze large data volumes.


  • - Interact continuously with scientists in an interdisciplinary team.


  • APPLICATION This project will be an excellent opportunity for a candidate who is looking to contribute to cutting-edge research and to train with experts in the field. We are seeking here a detail-oriented computer scientist and problem solver passionate in science.


  • This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs)


  • The ideal candidate should have the following qualifications:


  • - Ph.D. or M.Sc. in Applied Mathematics, Computer Science, or Computational Biology.


  • - Experience in Deep Learning methods.


  • - Experience with Python, open-source software libraries for machine learning and Linux.


  • - Strong mathematical background and analytical skills.


  • - Effective organizational skills, e.g. the ability to prioritize work and contribute to the planning of a program of scientific research.


  • - Demonstrated interpersonal skills including both the ability to work independently and perform collaborative research in an interdisciplinary team environment.


  • - Good oral and written communication skills.


  • Preferred: Previous experience with transformer-based techniques for NLP pre-training and transformer language models


  • TERMS & COMPENSATION This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs) – the chosen candidate's salary will be commensurate with their level of education, skills, and experience. Other benefits include:


  • - 48 days of paid holidays


  • - on-site subsidized restaurant


  • - partial remote work is possible, up to 3 days per week within the limit of 100 days per year


  • - CEA contribution to the personal company savings plan


  • LOCATION We are based on the Paris-Saclay research campus in the south of Paris, France.


  • HOW TO APPLY Interested candidates should submit a resume and short cover letter to deep genseq «at» saxifrage.saclay.cea.fr


Postdoc researchers, PhD students and predoc researchers in our lab



  • at AIIA lab. Feel free to forward the call to qualified students, graduates or colleagues that may want to come and work or do with us.


  • Postdoc positions Three fully funded postdoctoral research positions on "Machine Learning and Computer Vision" and the “International Artificial Intelligence Doctoral Academy (AIDA)” in AIIA Lab, Aristotle University of Thessaloniki, Greece.


  • The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA. CVML R&D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has three open postdoctoral research positions. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media.


  • Research topics: Extreme visual and social media data analytics for natural disasters (TEMA)


  • Visual drone-based industrial pipeline inspection (SIMAR)


  • Deep digital media analysis (AI4Media)


  • New decentralized deep learning methods (AI4Media)


  • Fast embedded drone visual analysis (TEMA, AerialCore)


  • Support International Artificial Intelligence Doctoral Academy (AIDA, AI4Europe)


  • The director of the AIIA Lab is Prof. Ioannis Pitas, who is also the chair of the International Artificial Intelligence Doctoral Academy (AIDA, from the AI4Media project). Thessaloniki is a large port city with very low living costs and easy access to many local tourist attractions, while AUTH is the largest university in SE Europe.


  • What we offer - Competitive EU-level remuneration package and guaranteed funding for a minimum of 24 months.


  • Opportunities to develop skills and mentor M.Sc./Ph.D. students.


  • International collaborations with many top universities/research centers/industries.


  • Candidate profile 1) PhD degree* in machine learning and/or computer vision.


  • 2) Strong publication record in well-known international journals and conferences.


  • 3) Previous professional experience with international collaborative research projects (e.g., Horizon 2020/Horizon Europe) is desirable.


  • 4) Good English writing skills.


  • Applicants who are expected to defend their dissertation in the very near future are welcomed.


  • Application The interested candidate must send an e-mail to Prof. Ioannis Pitas [email protected], until the 31st January 2023, with the following attachments:


  • - Curriculum vitae,


  • - Publications list


  • Names of person to provide recommendation letters are welcomed.


  • Ioannis Pitas [email protected] https://scholar.google.gr/ citations?user=lWmGADwAAAAJ&hl=en


PhD candidate or predoc research positions



  • 6 fully funded PhD candidate or predoc research positions on "Machine Learning and Computer Vision" and the "International Artificial Intelligence Doctoral Academy (AIDA)" in AIIA Lab, Aristotle University of Thessaloniki, Greece.


  • The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA. CVML R&D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has six open PhD candidate or predoc research positions. Applicants may become PhD candidates or just do R&D work. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media.


  • Research topics: Extreme visual and social media data analytics for natural disasters (TEMA)


  • Visual drone-based industrial pipeline inspection (SIMAR)


  • Deep digital media analysis (AI4Media)


  • New decentralized deep learning methods (AI4Media)


  • Fast embedded drone visual analysis (TEMA, AerialCore)


  • Support International Artificial Intelligence Doctoral Academy (AIDA, AI4Europe)


  • The director of the AIIA Lab is Prof. Ioannis Pitas, who is also the chair of the International Artificial Intelligence Doctoral Academy (AIDA, from the AI4Media project). Thessaloniki is a large port city with very low living costs and easy access to many local tourist attractions, while AUTH is the largest university in SE Europe.


  • What we offer - Competitive EU-level remuneration package and guaranteed funding for a minimum of 24 months, which can be extended to cover the entire PhD duration.


  • Opportunities to develop research and programming skills and mentor M.Sc. students.


  • International collaborations with many top universities/research centers/industries.


  • Candidate profile MSc degree (or any 4-5 year degree) in Computer Science or Electrical/Computer Engineering.


  • Good programming (C++, Python) and theoretical/math skills.


  • Specialization or coursework in machine learning and/or computer vision are desirable.


  • Any publications in international journals or conferences are desirable.


  • Good English writing skills.


  • Applications of persons who are expected to finish their studies in the very near future are welcomed.


  • Application The interested candidate must send an e-mail to Prof. Ioannis Pitas [email protected], until the 31st of January 2023, with the following attachments:


  • - Curriculum vitae, - Publication list (if any)


  • Names of person to provide recommendation letters are welcomed.


  • Ioannis Pitas [email protected]


  • https://scholar.google.gr/ citations?user=lWmGADwAAAAJ&hl=en


Postdoc (2 years), ML-NLP for legal data processing, Cental (Louvain-la-Neuve, Belgium)



  • UCLouvain is looking for:


  • a postdoctoral researcher in machine learning / natural language processing


  • - Full-time (100%) fixed-term contract of two years


  • - for the Centre de traitement automatique du langage (Cental) within the Institut Langage & Communication (IL&C) in UCLouvain (Louvain-la-Neuve)


  • - Start date : as soon as possible


  • This postdoctoral position offer is part of a research project led by the Cental (https://uclouvain.be/fr/instituts-recherche/ilc/cental) around legal data processing.


  • Regarding the concrete application, the project aims at automatizing the analysis of documents related to clinic trials (meeting minutes, legal documents, contracts, ...) to assess their compliance to RGPD. The proposed solution should thus be flexible enough to, on one hand, ensure that the model(s) can be adapted to the various document types and, on the other hand, limit the need of specialists' expertise for training data annotation. In consequence, the scientific core of this project is directly related fo the question of few-shot learning, which we intend to address through active learning and meta-learning.


  • The role of the hired postdoc will be to (1) develop the resources needed for learning, (2) implement an architecture that incorporates active learning and meta-learning, (3) evaluate the models and (4) implement the components into a web service. The postdoc will also be required to disseminate the results through scientific publications and/or reports.


  • Work environment: CENTAL is part of the Institut Langage & Communication (https://uclouvain.be/fr/instituts-recherche/ilc), in UCLouvain. This university is located in Louvain-la-Neuve, Belgium


  • (https://uclouvain.be/fr/sites/louvain-la-neuve), a walkable city, that offers a pleasant and dynamic living environment. The research project will be supervised by Patrick Watrin.


  • Required skills: A completed PhD in Computer Science, Machine Learning, NLP or a similar domain.


  • Excellent programming skills:


  • Python


  • TensorFlow/Keras or PyTorch


  • Linux (server administration)


  • Knowledge of the main supervised learning algorithms and deep learning algorithms is required


  • A good knowledge of the main NLP tools and algorithms is a plus


  • Strong research track record (publications, conferences, etc.)


  • Autonomy, teamwork, ability to understand and analyze needs, adaptability


  • Excellent command of the French language (at least C1) and good command of English (at least B2)


  • Conditions:


  • Fixed-term contract of one year, renewable once


  • Salary based on experience, ranging from 4250€ to 4850€ (monthly, gross)


  • The position requires residency in Belgium. Candidates from outside the EU are responsible for obtaining the adequate visa and/or permits, with support from the UCLouvain.


  • How to apply: Deadline : February 15


  • The application file should be sent electronically to Patrick Watrin ([email protected]) and contain:


  • A detailed resume showing the adequate qualifications and skills, as well and the scientific/academic experiences and publications;


  • A cover letter in french, describing your interest for the role, how your profile complies with the project's needs, etc.;


  • A recommendation letter in french or in english.


  • The shortlisted candidates will be invited to participate in a remote video call (details will be communicated in a timely manner).


Job : CDD (12 and 24 months), 2 engineering positions, LORIA (Nancy)



  • Dear all, The LORIA laboratory in Nancy is recruiting two research engineer positions: - 12 months engineer in data science / deep learning:


  • https://www.univ-lorraine.fr/travailler-a-l-ul/offre-emploi/ingenieure-de-recherche-en-science-des-donnees-h-f/ - 24 months engineer in web dev / Natural Language Processing /


  • deep learning: https://www.univ-lorraine.fr/travailler-a-l-ul/offre-emploi/ingenieure-informatique-h-f/