Postdoc: "Forecasting methods with exogenous variables for international roaming traffic"



  • Hello, We are currently looking for a, a, postdoc in Time Series Forecasting:


  • https://orange.jobs/jobs/offer.do?joid=102232&lang=EN


  • URGENT J


  • Regards,


  • Vincent Lemaire


  • Research Scientist


  • http://vincentlemaire-labs.fr


ATER position in Computer Science, Sorbonne University (Faculty of Letters)



  • Hello, The Faculty of Letters of Sorbonne University is recruiting 1 ATER in Computer Science within the Faculty of Sociology and Computer Science for the Human Sciences. Position taken on December 1.


  • Teachings take place in 2 sites of the Faculty of Letters in Paris (Center Clignancourt, Center Malesherbes) as well as at the research center ( 28 rue Serpente , St Michel district) where the UFR and the ATER office are located. .


  • The list of teachers in the department can be found here http://lettres.sorbonne-universite.fr/faculte-des-lettres/ufr/sciences-humaines-et-sociales/sociologie-et-informatique-pour-les-1 ), we are mostly attached to the Computational Linguistics team of the STIH laboratory ( http://stih-sorbonne-universite.fr/people.html ).


  • The courses are mainly located in the Computer Science part of the Language Sciences License and in the Language and Computer Science Masters. Requirements include Python programming, Language engineering, and Databases.


  • In terms of research, we are looking for the following profiles: TAL, Knowledge Engineering and IA in the broad sense.


  • The profile is available online here: https://recrutement.sorbonne-universite.fr/fr/personnels-enseignants-chercheurs-enseignants-chercheurs/enseignants-chercheurs/campagne-de-recrutement-ater.html


  • The procedure is open until midnight Friday 8 October. The complete file (details below) should be sent by email to the deputy direction of the UFR ( [email protected] and [email protected] ).


  • The application file will include, on the one hand, the declaration of candidacy, the certificate of status, and the certificate of the thesis director if the thesis is in progress (forms available at https://recrutement.sorbonne-universite.fr/fr/personnels-enseignants-chercheurs-enseignants-chercheurs/enseignants-chercheurs/campagne-de-recrutement-ater.html ) and on the other hand a CV, a cover letter and a copy of an identity document.


  • NB: This is a full-time position, 144 hours corresponding to the pro rata of the statutory 192 hours over 9 months


  • For any other question, do not hesitate to contact us before applying


  • Regards, - Gaël Lejeune


  • Associate Professor in Computer Science


  • Computational Linguistics group, STIH, Sorbonne University


  • Deputy Director of the CERES Service Unit (Experimentation Center in Numerical Methods for Research in SHS)


  • Director of Studies for the Language Sciences License (Computer Science, ex LFTI)


  • Equality referent for the Faculty of Sociology and Computer Science


  • Phone: +33 (0) 6 62 81 17 58


  • URL: http://www.lejeunegael.fr


  • Office: 212, Maison de la Recherche, 28 rue Serpente, 75006 Paris


  • Seminar of the "Computational Linguistics" team of STIH: http://stih-sorbonne-universite.fr/dokuwiki/doku.php?id=seminaire_lc


Theses in security assessment of complex systems



  • Hello, as part of a project of the Polytechnic Institute of Paris, we offer 2 theses on the following themes:


  • - Modeling and safety assessment of a complex system: https://cloudgravity.github.io/files/jobs/ceres-lot1_phd.pdf


  • - Digital twin for the security of technical building management: https://cloudgravity.github.io/files/jobs/ceres-lot2_phd.pdf


  • We also offer a platform engineer position: https://cloudgravity.github.io/files/jobs/ingenieur_pf-ceres_fr.pdf


  • The subjects and the application procedure are detailed in the links above.


  • The theses will start no earlier than October 2021.


  • Regards, Gregory Blanc


  • Telecom SudParis Polytechnic Institute of Paris


ATER standard contract at LIUM - new post on December 1



  • The offer in detail: http://www.univ-lemans.fr/_resource/Universite/S_engager_a_nos_cotes/Recrutement/ATER-CTER/27CTER0532.pdf


  • == INFORMATION == Open recruitment: from September 16 to October 16, 2021 before 4 p.m.


  • Quotity: 100%


  • Contract duration: from 12/01/2021 to 08/31/2022


  • CNU section: 27


  • == Research == Laboratory URL: http://www-lium.univ-lemans.fr


  • Contact person (s) (Name, function, phone, email):


  • Sébastien George, director of the laboratory, 02 43 59 49 16, [email protected]


  • ** Two team: **


  • 1.one of fourteen ECs specializing in environments computer science for human learning (EIAH Engineering), directed by Sébastien Iksal;


  • 2.one from EC specialized in speech recognition, machine translation (Language and Speech Technology - LST) and text mining, directed by Sylvain Meignier


  • == Teaching == At the IUT of Le Mans: Office automation (spreadsheet), Database management system, Information system, Business intelligence, project management and internship monitoring.


  • Contacts for the teaching profile (Name, function, phone, email):


  • Xavier PALLARD, head of department, 0615882258, [email protected]


  • Nicolas DUGUÉ, lecturer in computer science, [email protected]


  • Nicolas Dugué Lecturer / Assistant Professor


  • https://lium.univ-lemans.fr/team/nicolas-dugue/


  • LIUM , LST and EIAH / Language and Speech Technology team


  • Coordinator of the ANR DIGING project: candidate research Internship -> Thesis on the project Referent Music and Sport studies IUT GEA


  • 06.16.42.24. 89 Avenue Olivier Messiaen, 72085 - LE MANS Cedex 09


Phd opportunity in Lille, France - Spiking Neural Networks for Video Analysis



  • The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student on the following subject : Spiking Neural Networks for Video Analysis


  • The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. We are also involved in IRCICA (CNRS), a research institute promoting multidisciplanary research.


  • At IRCICA, we collaborate with computer scientists and experts in electronics engineering to create new models of neural networks that can be implemented on low-power hardware architectures. Recently, we designed state-of-the-art models for image recognition with single and multi-layer unsupervised spiking neural networks. We were among the first to succesfully apply unsupervised SNNs on modern datasets of computer vision. We also developed our own SNN simulator to support experiments with SNN on computer vision problems.


  • Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN) in the field.


  • Abstract: Spiking Neural Network have recently been evaluated on classical image recognition tasks [1]. This work has highlighted their promising performances in this domain and have identified ways to improve them to be competitive with comparable deep learning approaches. In particular, it demonstrated the ability of SNN architectures to learn relevant patterns for static pattern recognition in an unsupervised manner. However, dealing with static images is not enough, and the computer vision community is increasingly interested in video analysis, for two reasons. First, video data is more and more common and corresponds to a wide range of applications (video surveillance, audio-visual productions, autonomous vehicles...).


  • Second, this data is richer than isolated static images, and thus offers the possibility to develop more effective systems, e.g. using motion information. Thus, it is recognized in the community that modeling motion in videos is more relevant than studying visual appearance alone for tasks such as action or emotion recognition. The next step for SNNs is therefore to study their ability to model motion rather than, or in addition to, image appearance.


  • The goal of the Ph.D. candidate will be to explore the use of SNNs for space-time modeling in videos. This work will be targeted towards applications in human behavior understanding and especially action recognition. More specifically, the Ph.D. candidate is expected to:


  • * identify what issues may prevent space-time modeling with SNNs and how they can be circumvented;


  • * propose new supervised and unsupervised SNN models for motion modeling, which are compatible with hardware implementations on ultra-low power devices;


  • * evaluate the proposed models on standard datasets for video analysis.


  • Candidates must hold a Master degree (or an equivalent degree) in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus:


  • • image processing, computer vision;


  • • machine learning;


  • • bio-inspired computing;


  • • research methodology (literature review, experimentation…).


  • Candidates should have the following skills:


  • • good proficiency in English, both spoken and written;


  • • scientific writing;


  • • programming (experience in C++ is a plus, but not mandatory).


  • This PHD thesis will be funded in the framework of the ANVI-Luxant industrial chair. The general objective of the Chair is to make a scientific and technological progress in the mastery of emerging information processing architectures such as neuromorphic architectures as an embedded artificial intelligence technique. The use-case studies will come from video protection in the context of retail and transportation.


  • The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations).


  • The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon.


  • For application, please send the following information in a single PDF file to Dr. Marius Bilasco ([email protected]) with subject [PhD_Luxant-ANVI]:


  • * A cover letter.


  • * A curriculum vitae, including a list of publications, if any.


  • * Transcripts of grades of Master's degree.


  • * The contact information of two references (and any letters if available).


  • We look forward to receiving your application as soon as possible, but no later than 1.10.2021.



Thesis offer: Information systems for heritage sciences



  • Hello, We are looking for a doctoral student for a thesis in the field of information systems for heritage sciences, within the framework of the MEDIAPAT project, funded by the Fondation des Sciences du Patrimoine (FSP), in connection with the 'EquipEx + ESPADON.


  • Title : Development of technological mediation tools dedicated to the creation of the augmented heritage object


  • Description : see the attached file


  • Thesis supervisors : Dan Vodislav (ETIS, CY Cergy Paris Université) and Livio de Luca (MAP, CNRS / Ministry of Culture)


  • Application deadline : October 15, 2021


  • To apply, send a PDF document (one file) including: + Detailed Curriculum Vitae


  • + Cover letter


  • + Diploma (giving access to registration for a doctoral thesis) and master's notes (M2)


  • + Letter (s) of recommendation to [email protected] and [email protected]


  • We are looking for a PhD student for a thesis in the field of information systems for heritage sciences, in the context of the MEDIAPAT project, financed by the Fondation des Sciences du Patrimoine (FSP), in connection with the EquipEx + ESPADON.


  • Title : Development of technological mediation tools for creating augmented heritage objects


  • Description : see the document in attachment


  • PhD supervisors : Dan Vodislav (ETIS, CY Cergy Paris Université) and Livio de Luca (MAP, CNRS / Ministry of Culture)


  • Application deadline : October 15, 2021


  • To apply, send a PDF document (a single file) including: + Detailed Curriculum Vitae


  • + Cover letter


  • + Diploma (giving access to a PhD thesis registration) and Master's grades (M2)


  • + Recommendation letter (s) to [email protected] and [email protected]


  • Regards, Dan Vodislav



18-month post-doc offer



  • Subject: Post-doc offer (18 months)


  • Learning and dynamic monitoring of behaviors from urban data


  • Keywords : urban data, mobility, energy, machine learning, stochastic modeling


  • The GRETTIA laboratory (Gustave Eiffel University) has been conducting research for several years aimed at developing decision-support tools dedicated to city managers, in order to allow them to obtain a synthetic view of the mobility of people and the way they use energy, with a view to sustainable development. One of its main areas of research therefore concerns learning from data collected in the context of urban monitoring.


  • The objective of this postdoc is to develop a generic methodology of statistical learning, which makes it possible on the one hand to identify patterns characterizing the main behaviors in terms of mobility and energy consumption, and on the other hand, to model the dynamics of the evolution of these behaviors over time. The data to be analyzed will come from validations of public transport cards (ticketing) and measurements of energy consumption in housing stock. In addition to providing a synthetic description of these massive urban data, the work also aims to detect and predict changes in travel and consumption habits. In the current context, for example, it will be interesting to characterize the changes in travel and consumption habits linked to a health crisis.


  • The research path that will be favored in this work is that of learning techniques via latent process models, which will allow the exploration of the temporal and multifactorial aspect of data. These models make it possible to flexibly associate observed data (e.g. digital traces of travelers, individual energy consumption) with dynamic latent variables that may refer to classes of users with homogeneous behaviors, to dynamics. long-term, changes in behavior, while taking into account explanatory variables associated with a known context. This work will undoubtedly require new instantiations of hidden Markov models, space-state representations or recurrent neural networks.


  • To apply , send a CV and a cover letter to the three addresses below: Allou Samé: [email protected]


  • Etienne Côme: [email protected]


  • Latifa Oukhellou: [email protected]


  • Place of work: GRETTIA Laboratory, Gustave Eiffel University, Champs-sur-Marne.


  • Etienne Côme, @comeetie Researcher


  • Gustave Eiffel University GRETTIA / COSYS


  • Phone: 01 81 66 87 18


  • Web: http://www.comeetie.fr



Hiring Several PostDocs and PhD Students in Computer Vision, Image Processing, and Machine Learning



  • The 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 computer vision and machine learning fully-funded postdoc and PhD positions.


  • 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, NIPS, ...), 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


  • • image/video understanding


  • • augmented and mixed reality


  • • edge inference and mobile AI


  • The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation.


  • The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.


  • The successful candidate will also collaborate with industry.


  • Profile • Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics


  • • Good programming knowledge and experience with Python / C++ / MATLAB


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


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


  • • Fluent written and spoken English is a must.


  • • Postdoc 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) 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 60k euros per year, before tax.


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


  • Applications will be reviewed on a rolling basis until all the positions are filled.


  • The interviews are scheduled to start after 20.09.2021.


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



Postdoc opportunity



  • Postdoc opportunity


  • All, I am looking to hire a postdoc to work in the area of machine learning, data science & analytics, and/or decision support applied to public health. The position is at the University of Oklahoma and salary is up to $75K per year with a project duration of two years.


  • For more information on the position, please read the attached job description or visit the application website.


  • To apply, please visit: https://ou.taleo.net/careersection/2/jobdetail.ftl?job=212540.


  • For more information on me, please see my home page: https://www.cs.ou.edu/~hougen/.


  • Thanks! Dean


  • -- Dean F. Hougen


  • Associate Director and Associate Professor School of Computer Science


  • Gallogly College of Engineering University of Oklahoma


Postdoc on Sound recognition in Nantes, France



  • Dear colleagues, The RAMBO team [1] of IMT Atlantique [2], in collaboration with Smart Macadam [3], is looking for candidates for a two-year postdoc position located in Nantes on the following topic:


  • (in English) Recognition of activities of daily living using sound https://institutminestelecom.recruitee.com/l/en/o/postdoctorant-reconnaissance-dactivites-de-la-vie-quotidienne-a-laide-des-signaux-sonores-cdd-24-mois-nantes


  • (in French) Reconnaissance d’activités de la vie quotidienne à l’aide des signaux sonores


  • https://institutminestelecom.recruitee.com/l/fr/o/postdoctorant-reconnaissance-dactivites-de-la-vie-quotidienne-a-laide-des-signaux-sonores-cdd-24-mois-nantes


  • For more details about the position and to submit your application, please follow the link above.


  • Application deadline: 30 September 2021


  • [1] https://labsticc.fr/en/teams/rambo


  • [2] https://www.imt-atlantique.fr/f


  • [3] https://www.smartmacadam.com/


  • Best regards, Mihai Andries Christophe Lohr


  • Associate Professors Team RAMBO


  • IMT Atlantique Brest, France


PhD studentship in Epistemic Artificial Intelligence Oxford Brookes University



  • Faculty of Technology Design and Environment School of Engineering, Computing and Mathematics


  • 1 three-year full-time funded PhD Studentship


  • Eligibility: all students


  • Bursary: £16,540 per year


  • Fees: Tuition fees will be paid by the university


  • Deadline for applying: 10th October 2021


  • Start date: Earliest January 2022


  • The Faculty of TDE at Oxford Brookes University is pleased to offer a three-year full-time PhD studentship to a student commencing January 2022, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964505 “Epistemic AI”.


  • The successful candidate will join the Visual Artificial Intelligence Laboratory under the supervision of Professor Fabio Cuzzolin. It is a fully-funded PhD studentship with annual bursary of £16,540.


  • Project description The Visual Artificial Intelligence Laboratory is a fast-growing research unit currently running on a budget of £3 million from nine live projects funded by the EU (2), Innovate UK (2), the Leverhulme Trust and others. Our research interests span artificial intelligence, uncertainty theory, machine learning, computer vision, autonomous driving, surgical and mobile robotics, AI for healthcare. The Lab is currently pioneering frontier topics in AI such as machine theory of mind, self-supervised learning, continual learning and future event prediction.


  • The PhD student will join the Lab’s work towards a new Horizon 2020 FET (Future Emerging Technologies) project “Epistemic AI” coordinated by Prof Cuzzolin and whose other partners are TU Delft (Netherlands) and KU Leuven (Belgium). The project started in March 2021 and has a duration of 4 years.


  • The project’s overarching objective is to develop a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties. The project re-imagines AI from the foundations, with the aim of providing a proper treatment of the ‘epistemic’ uncertainty stemming from a machine’s forcibly partial knowledge of the world by means of advanced uncertainty theory. All new algorithms and learning paradigms are to be tested in the context of autonomous driving.


  • Requirements We seek a highly competent candidate to submit their thesis within 3 years. Candidates should have a strong mathematical background, specifically in optimisation, probability and statistics, and a good first degree in Machine Learning, Artificial Intelligence or related fields. Applicants are also expected to have Research experience in Machine Learning or Artificial Intelligence, and good coding skills in Python and/or C++. Knowledge of uncertainty theory, including belief functions, random sets or imprecise probabilities is desirable, as is experience of coding in Torch, PyTorch, Tensorflow or Caffe, and experience of work in autonomous driving


  • How to apply To apply, please please go directly to the university here: https://www.brookes.ac.uk/studying-at-brookes/how-to-apply/applying-direct/, quoting “PhD Studentships in Epistemic Artificial Intelligence”.


  • Fully completed applications must be submitted online by 10th October 2021. As part of the application process you must submit your CV, a Research Proposal (two pages), copies of your current degrees and transcripts, IELTS (if applicable), and a supporting statement (2-page maximum) which explains why you believe you are the best candidate for this studentship. Please be advised that the selection process may involve an interview.


  • For informal requests contact Prof Fabio Cuzzolin ([email protected]), and Dominic Maitland ([email protected]) should you have any questions about the application process.