The Institute of Information Theory and Automation (UTIA), Czech Academy of Sciences (http://www.utia.cas.cz/) invites applications for two-year postdoctoral positions in the institute beginning in January 2023 with possibility to move to the tenure track in the Institute.

Candidates are expected to work in one of these areas: artificial intelligence and machine learning, probabilistic graphical models, statistics and stochastics, image, video, and signal processing, control theory, adaptive decision intelligence and human-centric intelligence, modelling economic and financial problems, non-smooth analysis, PDEs, calculus of variations, and continuum mechanics.

The candidates are also expected to have a strong record of, or outstanding potential for, significant research and have no more than two years since being awarded a Ph.D., Dr. or equivalent title (as of September 30). Moreover, experience in obtaining third-party funds is advantageous.

The Institute offers a monthly salary of CZK 50 000 (about 2 000 EURO) and yearly benefits supporting e.g. recreational and sport activities, as well as health care programs. Complete applications must be received by August 31, 2022.

In case of interest, please send your application via email to [email protected]. The application should include a CV, a research statement, a motivation letter, and a copy of the PhD diploma. Letter(s) of recommendation is/are welcome. They should be sent by their authors directly to the email above.

Ph.D. position Interdigital and Inria in Grenoble, France

Interdigital and Inria have recently announced a joint laboratory entitled "Towards the metaverse" whose goal is to represent humans within a mixed real and virtual environment, with a special focus on representation formats for digital avatars and their behaviour.

In this context, we offer a Ph.D. position entitled "video-based dynamic garment representation and synthesis" whose goal is to develop efficient representations that allow to reconstruct temporally coherent 3D models of humans with clothing and accessories from input video.

Details on the position and on how to apply can be found here: https://team.inria.fr/morpheo/ph-d-position-video-based-dynamic-garment-representation-and-synthesis/

For more information, contact Stefanie Wuhrer ([email protected]).

The University of Florence offers 4 regular plus one industrial PhD positions in Smart Computing.

The PhD program in Smart Computing is a three-year multidisciplinary program co-financed by the University of Florence, the University of Pisa, and the University of Siena, with an internationally renowned faculty and a worldwide network of partner institutions.

The PhD positions call is available at: https://www.unifi.it/p12202. html

Candidates can apply online at the following link: https://sol.unifi.it/domdott/login_en.jsp

The application deadline is July 20th, 2022, at 12am CEST for the regular positions, and August 7th, 2022, at 12am CEST for the industrial one.

Further information: https://www.unifi.it/vp-385-dottorati-di-ricerca.html https://smartcomputing.unifi. it/

Please, feel free to forward this email and information to colleagues and potential applicants.

Candidate search for a CIFRE thesis in Lyon

Description of the subject In this context, the University of Lyon 1 and the company EVEAR wish to set up a system of allocation automatique.

The objective of this thesis is to support EVEAR in the construction of a solution for the identification of the signals of the different metabolites in an NMR spectrum. The proposed approach is as follows :

● Overview of the different methods carried out manually at EVEAR and its competitors ● Search for means of automation ● Modeling and formalization ● Validation by experimentation To this end, three areas of research have been identified:

Axis 1: Classification using machine learning Conventional analysis of a spectrum mainly focuses on the study of the intrinsic elements of the sample based on the physical and physico-chemical properties of the sample. For example, Zhang, Saleh and Shen (2013) studied the spectral distributions of frying oils obtained by NMR, and concluded that the area of the third peak increases with increasing weathering. This type of analysis is an important first step for the automatic classification.

The approaches carried out by the DISP laboratory are based on machine learning and machine learning. Based on the expertise and databases of EVEAR, the objective of axis 1 is to deepen the work of the laboratory. To do this, axis 1 can be split into 3 parts:

● Make a state of the art of means of classification of NMR signals ● Propose a supervised or unsupervised NMR spectrum classifier with the help of EVEAR's human expertise ● Validate the classifier with data from experiments

Axis 2: Modeling / reduction based on an auto-encoder

Data from an NMR spectrum are very large (128k points per spectrum). Axis 2 will aim to propose a robust data reduction method that can be used in axis 1. Several leads have been studied.

We want to develop an approach based on auto-encoders. Auto-encoders are unsupervised learning algorithms based on artificial neural networks, which make it possible to build a new representation of a dataset.

Generally, this one is more compact, and has fewer descriptors, which reduces the dimensionality of the dataset. Architecture of an autoencoder consists of two parts: the encoder and the decoder.

The objective of this axis: ● Make a state of the art of reduction tools ● Propose a reducer ● Validate the gearbox with the tools of axis 1

Axis 3: Quantification The axis 1 spectrum analysis is based on the qualification of the samples: knowing which metabolites are present in an excerpt.

Axis 3 aims to quantify metabolites. Based on the axis 2 data, we wish to be able to know precisely the compositions of an extract in order to be able to carry out a traceability and quality control to increase the value chain of EVEAR. For this we can detail axis 3 in:

● Make a state of the art of the means of quantification ● Propose a quantification method that meets the EVEAR criteria ● Validate this quantification with normalized and heterogeneous data ● Integrate this method into the EVEAR process

Candidate profile The selected candidate must hold a bac+5 (engineer or master's degree). Desired personal skills:

● Intellectual curiosity ● Versatility ● Critical thinking and analytical skills Required Skills

● Modeling ● Programming ● Data Analysis and Visualization ● Knowledge of the Linux environment would be desirable

How to apply To apply for this thesis, candidates are invited to communicate:

● An updated CV ● A cover letter ● Any project related to programming (GitHub / Colab link)

By email to: [email protected] and [email protected]

Two (2) fully funded academic postdoc positions on Machine Learning and Computer Vision, in Thessaloniki, Greece

Two (2) fully funded postdoctoral research associate vacancies in the Special Interest Group "ICARUS", concerning the subject "Machine Learning and Computer Vision", in Thessaloniki, Greece.

The "ICARUS" Special Interest Group, in collaboration with the Artificial Intelligence and Information Analysis Laboratory (AIIA Lab) of the Department of Informatics in the Aristotle University of Thessaloniki, Greece (AUTH), is looking for two (2) postdoctoral research associates. 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 the media sector.

The director of the AIIA Lab is Prof. Ioannis Pitas, who is also the head 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 the Balkans.

Links: Artificial Intelligence and Information Analysis (AIIA) Lab: https://aiia.csd.auth.gr/ International Artificial Intelligence Doctoral Academy (AIDA): https://www.i-aida.org/ AERIAL-CORE EU/Horizon 2020 Project (2019-2023): https://aerial-core.eu/ AI4Media EU/Horizon 2020 Project (2019-2023): https://www.ai4media.eu/

Other EU/Horizon Europe projects, expected to start soon: AI4Europe (2022-2025) SIMAR (2022-2025)

What we offer - Competitive 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 top universities/research centers/industries.

Candidate profile 1 *) - Holder of a Ph.D. 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).

4) Good English writing skills.

* Applications of Ph.D. candidates who are expected to defend their dissertation in the very near future (until September 2022) are welcome.

Applications The interested candidate must send an e-mail to [email protected], until 15/08/2022, with the following attachments: - Curriculum vitae, - Publications list, - Two (2) letters of recommendation.

Open PhD position at IMT Atlantique

The Lab-STICC/RAMBO team of IMT Attlantique has an open PhD position on the subject "Travel assistance for visually impaired people based on computer vision"

Description and contacts: https://www.imt-atlantique.fr/sites/default/files/recherche/offres-theses/2022-travel-assistance-visually-impaired.pdf

• I am forwarding a post-doc offer of one to three years, transmitted by a colleague who works in the Department of Anesthesia at Cornell in NYC, concerning the analysis of high-resolution physiological data.




• The objective is to build a database from many physiological sensors and use it to build models to predict the evolution of a patient's vital parameters.




• You can find the details of the offer here: https://www.researchgate.net/ job/969902_Postdoctoral_Associate-Perioperative_Digital_Health_Interoperability_and_Data_Science

• Linguist and specialist in the automatic processing of the spanish mother tongue (M/F)




• AKIO is a French software publisher in the field of customer relations.




• Among the different modules, AKIO has a platform for analyzing customer content and media impact, Akio Insights, designed to analyze the "Voice of the Customer" and the Reputation of brands and companies.




• For its "Voice of the Customer" offer, AKIO is looking for a linguist and specialist in automatic language processing (NLP), for the quantitative and qualitative analysis of all customer data collected via different sources: emails, chats, satisfaction surveys, social networks, review and rating platforms, blogs, forums and online media.




• As part of the R&D team, you will be in charge of enriching and adapting the data analysis modules. You will participate in the development and continuous improvement of semantic analysis, feeling, emotion and intention detected in customer verbatim of different typologies.




• The main tasks will be: - Implementation of linguistic rules - Annotation of customer data - Testing of defined queries - Participation in R&D team workshops - Project monitoring and consideration of customer feedback on analysis




• Expected profile - University curriculum: Master 2 in Automatic Language Processing, Linguistic Engineering or similar




• - You have a first experience in semantic analysis - Your native language is Spanish - You have a good level in French (C1 or higher) - You have a good level in English - Knowledge of another European language would be a plus - Know how to analyze the language in all its aspects: lexicon, phonology, phonetics, syntax, grammar and semantics. - Fluency with computer tools and search engines




• Required qualities - Good communication and good interpersonal skills - Ability to work in a team - Great rigor and logical spirit




• Conditions: Type of contract: Full-time, permanent contract Status: Framework Place of work: Paris (10), Montpellier (34) or La Colle-Sur-Loup (06)




• Application: Please send your CV to [email protected] and [email protected]

• in the framework of a bi-national project we have an open PhD position in co-supervision between Nantes University (France) and Indian Institute of Technology Madras (India).




• The details are online: https://www.ietr.fr/machine-learning-methods-early-performance-prediction-data-flow-oriented-applications




• PhD subject: "Machine-learning methods for early performance prediction of data-flow oriented applications on multiprocessor platforms"




• Profile: The candidate should have a Master degree with speciality in computer and electrical engineering with skills in programming parallel software, machine learning methods and processor system architecture.




• The PhD student will be supervised by Madhu Mutyam (India), Sébastien Le Nours and Sébastien Pillement (France)




• Applicant should send their application as soon as possible (URGENT) with: A full curriculum vitae, including a summary of previous research experience A transcript of grades




• Link to research/development projects A motivation letter discussing how the candidate’s background fits the proposed topic




• Thank you for distributing this document to your students and colleagues who may wish to distribute it in turn.

• A simple reminder just before summer break




• The RAMBO team of IMT Atlantique offers a 15 months post-doctoral position in IoT & multimodal data fusion, within the framework of the European/Japanese e-VITA project.




• Description and link to apply: - In English: https://institutminestelecom.recruitee.com/l/en/o/postdoctorante-ou-postdoctorant-en-fusion-de-donnees-multimodales-cdd-15-mois




• - En Français: https://institutminestelecom.recruitee.com/o/postdoctorante-ou-postdoctorant-en-fusion-de-donnees-multimodales-cdd-15-mois

• The GREYC UMR 6072 (https://www.greyc.fr/) research laboratory in Caen (France) is seeking applications for a 10-month position as a computer engineer (beginning September 2022). The selected candidate will be in charge of developing a monitoring platform for patient-therapist interviews for the early detection of mental disorders.




• The engineer will be integrated in a multidisciplinary team funded by numerous international, national and regional projects. The salary will depend on the experience of the candidate and on average is around 2000 euros/net per month.




• The successful candidate should have a master's degree or equivalent in computer science and have solid programming experience. Specific knowledge in source code development, PYTHON and JAVA programming languages are an important prerequisite. Knowledge in machine learning and human-machine interfaces (3D design) would be appreciated.




• If you are interested in this position, please send the following information to Gaël Dias ([email protected]), Soumaya Sabry ([email protected]), Alexandre Pauchet ([email protected]) and Mohammed Hasanuzzman ([email protected]):




• - Detailed CV - Transcripts of undergraduate and graduate degrees.




• Applications will be considered until the position is filled or before August 31, 2022.




• For more information, please contact Gaël Dias directly ([email protected]) or Soumaya Sabry ([email protected]).

• We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine).




• The project focuses on deep learning models for text classification (e.g. diagnosis) in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity.




• The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations).




• We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation.




• KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022).




• Offer - We offer a research position for 2 years starting September 1 or the latest October 1, 2022.




• - We offer a competitive wage and yearly budget to attend conferences.




• - We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching.




• - Access to our deep learning cluster which contains the latest GPU hardware.




• If interested,please apply the latest by July 31, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found.




• Responsibilities - Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues.




• - Collaborate with the other European partners of the ANTIDOTE project.




• - Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses.




• Profile - You have (or are near completion of) a master or PhD in Computer Science.




• - Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa.




• - You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus.




• - You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing.




• - You are good at collaborating with others.




• - You work proactively and independently and have good communication skills.




• - You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian).




• - You are highly motivated, ambitious and result-oriented.




• For more information please contact Dr Damien Sileo mail: [email protected] or Prof. Dr. Marie-Francine Moens, mail: [email protected] with [XAI22] in your e-mail subject and a CV.

• We have PhD position in co-supervising between IMT Atlantique (France) and Polytechnic of Montréal (Canada). The PhD contract is expected to start in November/December 2022.




• The details are also online from the IMT website (subject 9): https://www.imt.fr/limt-recrute-10-nouveaux-doctorants-en-ia-dans-le-cadre-du-programme-doctoral-aiimt/




• PhD subject: “Counting and sampling of solutions for anytime pattern discovery”




• Profile: The candidate should have a Master or similar degree in computer science. As the thesis proposal lies at the intersection of Data mining and Constraint Programming, the candidate should have a strong background in some of these topics.




• The PhD student will be supervised by Gilles Pesant (Canada), Charlotte Truchet and Samir Loudni (France) Applicant should send us their application as soon as possible (URGENT) with: A full curriculum vitae, including a summary of previous research experience A transcript of grades




• Link to research/development projects A motivation letter discussing how the candidate’s background fits the proposed topic




• Two/three support letters of persons that have worked with them The interested applicants can find attached to this mail all the details of the proposition and the information on how to apply. Thank you for distributing this document to your students and colleagues who may wish to distribute it in turn.

• Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several postdoctoral and doctoral researcher fully-funded positions in the AI, computer vision, and machine learning fields.




• Julius Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!




• Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NeurIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.




• Depending on the position, the successful candidate will focus on a subset of the following




• Research Topics: • deep learning • computational photography • domain translation • learned image/video compression




• • image/video super-resolution • learning paradigms • 3D • image/video understanding • augmented and mixed reality • edge inference and mobile AI • super-resolution microscopy




• The tasks will involve designing, developing, and testing novel ideas and solutions in cutting-edge research, as well as coordinating and conducting data collection for their evaluation when necessary. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.




• Profile • Master's degree in AI, computer science, electrical engineering, physics or applied mathematics/ statistics. • Good programming skills, experience with Python / C++ and deep learning frameworks (PyTorch/TensorFlow).




• • Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing, artificial intelligence.




• • Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving.




• • Fluent written and spoken English is a must. • Postdoctoral applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR, AAAI) papers.




• Timeline The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 70k euros per year, before tax.




• Typically a PhD takes ~4 years to complete and a postdoc position is for at least 1 year.




• The applications received by 15.07.2022 will be reviewed by 31.07.2022. Only the selected applicants will be contacted by email for interviews. After 15.07.2022 the applications will be reviewed on a rolling basis until all positions are filled.




• Application Interested applicants should email asap their PDF documents (including full CV, motivation letter, diplomas, transcripts of records, links to master or PhD thesis, referees / recommendation letters, etc.) to Prof. Dr. Radu Timofte at [email protected] or [email protected]




• End of cvml Digest Mon, 11 Jul 2022

• Postdoc position (2 years) in a joint Inria-Valeo research team: 3D Transformers for Autonomous Driving




• Contract type : Fixed-term contract Renewable contract : Yes




• Level of qualifications required : PhD or equivalent Position : Post-Doctoral Research Visit Level of experience : Recently graduated




• The job position is in central Paris, France. As it is part of a joint team project, the candidate will be colocated on Inria and Valeo.ai sites. - At Inria the candidate will work in RITS team that has approx. 20 people working on computer vision, decision,planning, modeling for autonomous driving. The computer vision group publishes in top-tier scientific venues of computer vision and machine learning.




• - Valeo.ai is the artificial intelligence research center for automotive applications of Valeo Group. The center started in 2017 to conduct ambitious research projects, regarding assisted and autonomous driving. The Valeo.ai group has about 25 people, all publishing in top-tier scientific venues in artificial intelligence.




• Work environments are nice and lively with people from worldwide origins. Social skills is appreciated as collaborations with other researchers/PhDs is expected.




• In the same way that learning with transformers has somehow brought a revolution in natural language processing, and then in image processing, recently emerging transformers for point clouds are now also starting to significantly boost the performance of 3D processing. Yet, the general concepts of transformers and the reasons for their success are not fully understood, and there are still many open ways to adapt them efficiently to 3D. The goal of this postdoc is to attack some of them, targeting vision and 3D perception for scene understanding. More details are provided here:




• https://jobs.inria.fr/public/classic/en/offres/2022-04862




• APPLICATION Applicants should apply here: https://jobs.inria.fr/public/classic/en/offres/2022-04862#




• providing - a cover letter explaining their interest and adequacy for the postdoc topic, - their CV/resume, - possibly, references or recommendation letters.




• Best, Renaud Marlet -- http://imagine.enpc.fr/~marletr - Tel +33 1 64 15 21 86

• Open engineer position - computer vision and data processing




• We are currently seeking motivated candidates for an 18-month engineer position in computer vision and data processing in the context of ANR TRACTIVE (https://www.i3s.unice.fr/TRACTIVE/).




• The engineer will be recruited in the Biovision team of Centre Inria d'Université Côte d'Azur, France.




• Please refer to the offer for details and the application link: https://recrutement.inria.fr/public/classic/en/offres/2022-04592




• Best regards, Hui-Yin (Helen) Wu

• Applications are invited for a post-doctoral researcher in deep learning for affective computing in eHealth applications. The candidate will work under the supervision of Prof. Eric Granger at the Laboratory of imaging, vision and artificial intelligence (LIVIA), ETS Montreal (University of Québec).




• This funded position is available immediately, for a duration of 2 years, and offers a competitive salary. It also offers a possibility for collaborations-internships with top research companies and institutions in Montreal and abroad.




• We are looking for a highly motivated post-doctoral fellow who is interested in performing cutting-edge research on machine learning algorithms applied to expression recognition in health monitoring, with a particular focus on deep learning models (e.g, auto-encoders, convolutional and recurrent neural networks) for domain adaptation, multi-modal fusion, and weakly-supervised learning. Prospective applicants should have the following profile:




• strong academic record with an outstanding doctorate in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, computer vision, pattern recognition, artificial intelligence; good mathematical background;




• very good knowledge of English good programming skills in languages such as C, C++ and/or Python, with knowledge of deep learning frameworks; strong publication record in major conferences or journals in computer vision and machine learning.




• Application process: For consideration, please send your CV, research statement, names and contact details of two references, transcripts, a link to your Ph.D. thesis, as well as relevant publications to Eric Granger: [email protected]




• Eric Granger, ing., Ph.D. Professor and Director of the LIVIA Department of Systems Engineering ETS Montreal, Université du Québec 1-514-396-8650 [email protected]

• Post Doctoral Fellow - Max Näder Center for Rehabilitation Technologies and Outcomes Research (Chicago, IL)




• Job Description The Post-Doctoral Fellow in Rehabilitation Technologies Outcomes Research is responsible for the development and execution of both industry-sponsored and investigator-initiated research in prosthetics, rehab robotics, orthotics and other assistive and adaptive technologies to treat physical disability. The applicant will be part of the Max Nader Center for Rehabilitation Technologies and Outcomes Research, a part of the Center of Bionic Medicine. The center’s overarching goal is ultimately, to inform clinical practice through rigorous quantitative research. The center will be the first of its kind to combine the newest advances in research methods, functional quantitative outcome measures, and statistical analyses to improve the real-world use of medical technology.




• The successful applicant must have a strong clinical outcomes research or rehabilitation sciences background and have experience in both quantitative and qualitative outcome measures research.




• The project is led by the Director of the Max Nader Lab. The Center for Bionic Medicine research team includes neuroscientists, physicians, physical therapists, engineers, prosthetists, and occupational therapists.




• The Post Doctoral Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.




• The Post Doctoral Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.




• Principal Responsibilities Responsible for quantitative and qualitative outcomes research in area of rehabilitation, prosthetics, orthotics, assistive and engineering technology.




• Must work in close consultation with engineering, prosthetists, and therapists to plan, achieve and test new paradigms in assistive technology.




• Participates in regular development meetings with supervising team members. Keeps informed of developments in field to maintain and enhance professional expertise; offers suggestions regarding continuing development of outcomes research.




• Participates in research activities. Work with Lab director to identify, propose, and develop innovative research projects that meet the mission of the Max Nader Center that builds upon existing findings, challenges current thinking, and dovetails ongoing work at Shirley Ryan AbilityLab and within other institutions. Performs all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.




• Required Experience Doctoral degree (PhD) and relevant research experience in physical therapy, prosthetics, physiology, biomedical engineering, or a related field.




• Knowledge and understanding of outcomes research, exercise training, human physiology, and biomechanics and motor control of human locomotion. Practical experience using motion capture equipment and software, clinical assessment tools, exercise training including body-weight support treadmill training, Vo2 analysis, isokinetic dynamometry.




• Interpersonal skills necessary to communicate effectively with patients, research subjects, team members and project collaborators.




• Analytical skills to select and interpret tests appropriate for the research. Communication skills necessary to write detailed explanatory reports and articles and to verbally communicate results of research at meetings and conferences.




• Reporting Relationships Reports directly to the Associate Director, Max Nader Lab




• Working Conditions General laboratory setting with clinical tools like body weight support treadmills, exoskeletons and prosthetics facilities.




• Workspace equipped with stairs, treadmill, incline ramp, overhead harness system, exercise equipment etc. to perform ambulation activities.




• Fabrication and assembly area with occasional exposure to loud noises, unpleasant odors and dust. Appropriate personal protective gear and environmental systems are provided.




• Ability to move equipment and materials as needed.




• https://ricc-hr.silkroad.com/epostings/index.cfm?fuseaction=app.jobInfo&version=1&jobid=183870




• For questions, contact [email protected]

• Profile: full stack web developer




• Depending on experience, recruitment will be for a design engineer position or of research engineer. context




• The European project PEAPL (European Platform for Personalized Learning of Languages) aims to deploy and experiment with adaptive tools for the teaching of languages. It engages French, Italian and Swiss institutions and benefits from a Erasmus+ funding.




• As part of this project, the LIRIS laboratory provides tools based on the generation of ASKER exercises (https://projet.liris.cnrs.fr/asker/index.html) and on the services customization of the ANR COMPER project (http://comper.fr/).




• Tasks - Implementation of new exercise generators for the ASKER authoring tool - Maintenance and further development of the adaptive learning services of the COMPER project




• Expected skills - holder of an engineering or master's degree in computer science with a solid web development experience




• - good technical skills in web development: php, symfony, angularJS, typescript... - good technical skills in deploying services taking into account applications developed with different languages ​​on different servers




• - knowledge of semantic web standards (RDF, OWL) and in particular those related to the analysis of learning traces (xAPI, LRS) - experience with the Git code manager tool and documentation skills




• - respect of deadlines, rigor, organization, ability to work in interaction with remote teams, researchers, teachers - teamwork with different partners to help them integrate / interface the solutions developed in their tools.




• Work context The recruited person will join the TWEAK team of the LIRIS laboratory, located on the campus of la Doua in Lyon-Villeurbanne and will work under the direction of Nathalie Guin and Marie Lefevre. Contact: [email protected]




• How to apply Candidates are invited to submit a CV of 2 to 3 pages as soon as possible, with a motivation letter and possibly reference letters, in PDF format at [email protected]. The hiring date may be adapted to the constraints of the person recruited.

• We have an open position for a postdoctoral researcher on natural language processing / information retrieval / machine learning (SCAI/BnF research program)




• Starting period: autumn 2022 Duration: 12-month postdoctoral contract, renewable) Location: Sorbonne university (ISIR lab in the MLIA team) / DataLab of the BNF




• Supervision: Laure Soulier, MCF in computer science at Sorbonne University, MLIA team, ISIR.




• Emmanuelle Bermès, Scientific and Technical Assistant to the Director of Services and Networks at BnF.




• Jean-Philippe Moreux, Scientific expert of Gallica at the BnF.




• More info: https://scai.sorbonne-universite.fr/public/news/view/27d72d260c950c8d66c6/1




• _*Context*_ Gallica, the digital library of the BnF, contains nearly 10 million digitized documents that are freely accessible online (18.5 million visits per year).




• However, most users do not know that Gallica contains not only printed documents, but also photographs, sound recordings, videos, and 3D objects. In satisfaction surveys, only a minority of users consider the search engine's answers to be relevant and a majority would like to be better guided in their searches. A recommendation system should be able to help users find their way through the mass of collections and improve the visibility of the least known. In this project, BnF is committed to adopting a resolutely ethical approach.




• The exploitation of user logs must respect their privacy and guarantee both the relevance and transparency of the algorithms, avoiding the risk of filter bubbles. The interface design is also at the heart of the approach: a trustworthy system relies on a good user experience and on the diversity and relevance of the proposed recommendations. Three lines of thought emerge:




• 1) based on the available data, including both user logs and collection descriptions, how to develop predictive algorithms?




• 2) how to integrate diversity in the recommendation algorithm while leaving the choice to the user to moderate his serendipity threshold?




• 3) how to build user trust in algorithm design and audit?




• _*Main missions*_ This project consists in working on information access in the Gallica library, from the point of view of machine and deep learning techniques.




• The research axes concern (1) the analysis and indexing of textual documents as well as (2) the analysis of user traces and (3) recommendation systems. We are particularly interested in multimodal techniques that allow contextualizing a document or a query based on user interactions.




• The successful candidate will be responsible for:




• - Implementing models to learn the semantics of textual data for the purpose of indexing them.




• - Developing algorithms based on representation learning methodologies to effectively blend text and user traces.




• - Reporting and presenting development work in a clear and effective manner, both for discussion with BnF experts and writing machine learning publications.




• The printed book collection will be the primary focus of the program described above, but an extension to other collections with textual descriptors (in particular iconographic collections) may be considered.

• - Topic 1: Feature fusion for multi-view re-identification by deep learning - Topic 2: Frugal AI learning strategies in target domain annotations




• - Topic 3: Continual Learning for Scene Analysis in Open World - Topic 4: Exploitation of weakly or even non-annotated data for interaction detection




• - Topic 5: Panoptic 3D reconstruction of images by deep learning - Subject 6: Learning 3D representations independent of the image capture device - Topic 7: Weakly Supervised methods for 3D Point Cloud Perception




• Qualifications : Engineering degree, Master 2 Contract duration : 3 years Salary : Between 1800 € and 2000 €




• Required skills : - Prior experience in machine learning and particularly in deep learning. - Proficiency in Python and a deep learning framework is required. - Good spoken and written communication skills in English. Speaking French is optional but may




• help for the everyday life during the PhD. - Knowledge of computer vision, natural language processing, signal processing or physics is a plus - Being co-author of a submitted or published paper in the field is a plus.




• CEA List Laboratoire de Vision et Apprentissage pour l’analyse de scène Centre de Saclay 91191 Gif-sur-Yvette France http://www.kalisteo.eu




• Contact Astrid SABOURIN Guillaume LAPOUGE Tél +33 (0)1 69 08 33 63 E-mail [email protected] [email protected]