Dear All, At DeepCamera group, as part of the center of excellence, CYENS, we have several positions available. Here are the details of these positions and how to apply:

CYENS (formerly known as RISE) is a research centre of excellence in Nicosia, Cyprus. CYENS CoE is a significant investment supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, Max Planck Institute, University College London, the University of Cyprus, the Cyprus University of Technology and the Open University of Cyprus. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, local and international partners, and other sponsors.

The DeepCamera MRG is working on innovative, efficient, and resilient deep-learning based imaging/video and computer vision pipeline/applications tackling the existing drawbacks in all the pipeline stages, e.g., acquisition, encoding/decoding, manipulation/visualization and evaluation. These include, but are not limited to, topics such as image/video enhancement, environmental and adversarial noise removal, super resolution, spatial/temporal upsampling; all aspects of image/video encoding/decoding standards, visual perception (including color), color correction and management, image/video translation, high dynamic range (HDR) imaging/video; computer vision applications, objective and subjective image/video quality evaluation, as well as supporting tools for imaging and computer vision developers (see our DgiStreamer, the innovative imaging/computer vision pipelines constructor at www.dgistreamer.com). The outcome of the research will tackle applications such as smart cities, mobile phone, smart devices, head mounted and traditional display technologies, high quality video streaming, technology evaluation, automotive, security, entertainment, agriculture and industry 4.0, first responder etc.

We have 3 positions open (specify your preferred position in your cover letter):

1. One experienced Postdoc: we are looking for an experienced Postdoc in one or more of the aforementioned areas, with at least 2-3 years of Postdoc experience.

2. Two experienced Computer Vision specialists: with experience in developing deep-learning approaches for computer vision applications such as object detection, segmentation, classification etc. With at least 2-3 years of experience in developing innovative deep-learning approaches (deep-learning environment Pytorch and Tensorflow). Experience in deploying deep-learning approaches on embedded systems is a plus.

For all the open positions, previous experience in writing grant research proposals for funding, management activities, previous industrial experiences in development of products, ability to independently identify problems and carry out research work within the scope of the MRG, expertise in interacting with stakeholders in application domains and identifying opportunities for collaboration will also be considered.

The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi.

General qualifications & essential requirements 1. PhD degree (for the Postdoc position) and MSc. (for the Computer Vision positions) in a relevant field (e.g. Computer Science, Information Technology, Computer Engineering, Colour Science, Image Processing, Computer Vision, Computer Graphics) from an accredited institution.

2. Strong computer programming skills (e.g. C/C++, Python, Matlab)

3. Knowledge of Deep-learning and usage of the existing Deep-learning environments (e.g. Tensorflow, Pytorch etc.)

4. Excellent knowledge of both spoken and written English language

5. Proven high impact research publications on relevant topics

6. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage.

7. For non-EU applicants a work permit will be required

Benefits Take advantage of this opportunity for your professional and personal development by being a part of our fast-growing Research Technology Development and Innovation Centre of Excellence. A very attractive remuneration package will be offered to the successful candidate according to qualifications and experience.

Application process For full consideration, interested applicants should submit the following items via the following https://www.cyens. org.cy/en-gb/vacancies/apply/ and select in the “position to Apply for” either “Postdoc for DeepCamera” for the Postdoc position or “Research Associate in AI for DeepCamera” for the computer Vision specialist positions. Also, an email needs to be sent to [email protected] using the email subject line: “Application: Positions: DeepCamera”:

A cover letter which clearly specifies i) contact details, ii) employment availability date, iii) rationale on why you think you would be a good fit for the position within the DeepCamera MRG

Description of academic and research experience as well as any relevant industrial experience where applicable (500 words maximum) A detailed curriculum vitae in English.

Copies of transcripts of PhD/MSc degree.

Contact details of two referees, either two University professors or one University professor and one industry referee.

In case you previously applied for a post at CYENS, a new application is required.

For general enquiries, applicants may contact the HR Department of the CYENS CoE at [email protected] .

CYENS Centre of Excellence is an equal opportunity employer and the position is open to everyone, internationally.

All applications are treated in the strictest confidence.

Best Regards

Dr. Alessandro Artusi DeepCamera group Leader

Internship position - Deep Learning-Based Compression of 3D Point Clouds

We look for candidates for an internship on Deep Learning-Based Compression of 3D Point Clouds. The internship will be carried out in collaboration between the Laboratoire des Signaux et Systèmes (L2S), CentraleSupélec, Université Paris-Saclay, France, and the École de technologie supérieure, Montreal, Canada. We offer the possibility to extend this six-month internship into a fully-funded PhD thesis with a double diploma (from France and Canada).

Period: 6 months in spring 2022

Gross internship salary: approximately 600 euros/month

Application: A National Security clearance is needed, and it can require approximately 2 months.

Contacts : Please submit your application, including a CV and a transcript of your exam grades, to:

Giuseppe Valenzise, giuseppe.valenzise@l2s. centralesupelec.fr Stéphane Coulombe, [email protected]

Keywords: 3D point clouds, Compression, Deep Learning

Title: Deep Learning-based Compression of 3D Point Clouds

Context: Point clouds are sets of points in 3D space represented by spatial coordinates (x, y, z) and associated attributes, such as the color and reflectance of each point. They are an essential data structure in several domains, such as virtual and mixed reality, immersive communication, perception in autonomous vehicles, etc. Since point clouds easily range in the millions of points and can have complex sets of attributes, efficient point cloud compression (PCC) is particularly relevant, and compression of point clouds is currently a matter of research and standardization (see, e.g., the MPEG G-PCC standard). Deep point cloud compression (DPCC) is a recent research avenue exploring the use of deep neural networks for point cloud compression.

Objectives: The goal of this internship is to study novel methods for the compression of point cloud geometry and/or attributes. Specifically, we will study how to adapt the current auto-encoder based architectures to the varying spatial density typical of point clouds. In a first stage, the intern student will review the existing state of the art on this matter and will get familiar with DPCC toolboxes. Later, we will compare some of the previously proposed architectures for DPCC (including voxel-based convolutions, point convolutions and sparse convolutions) with the goal to improve them and design new schemes for improved coding gains. Finally, the proposed solutions will be compared with the current G-PCC codec.

Profile and internship details: We seek candidates with good programming skills, in particular in Python. The knowledge of deep learning frameworks (Tensorflow or Pytorch) is a desirable plus. The internship will have a duration of 5-6 months (depending on the starting date), and will be supervised by Giuseppe Valenzise (Laboratoire des Signaux et Systèmes, CentraleSupélec, France) and Stéphane Coulombe (École de technologie supérieure, Montreal, Canada). The first part of the internship will be based in France. Depending on the sanitary conditions and the interests of the candidate, it will be possible to carry out the second half of the internship in ETS, Montreal.

For more information, visit: https://www.etsmtl.ca/ research/higher-studies-and-research/research-projects-for-students/deep-learning-based-compression-of-3d-point-clouds/

Research Associate position in Computer Vision at Hamburg University

A position for a research associate is open in the Computer Vision group, headed by Simone Frintrop, at the computer science department of the university of Hamburg, Germany.

You find details here: https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=fb72e97250976ac22beeaec43a31941283a107c3

This position is part of the Transregio SFB project “Cross-modal learning” (https://www.crossmodal-learning.org/) and deals with aspects of (human and machine) learning in complex settings. The research in this project deals with the crossmodal processing of sensor data of mobile robots, e.g. with visual and audio data.

Involved research topics are object and person localization and recognition, selective attention, and deep learning on crossmodal data. We cooperate with groups in psychology and neurobiology and you should have interest in interdisciplinary research.

Requirements: A university degree in a relevant field, e.g. in computer science, engineering, mathematics, etc. Good programming skills, preferably in Python. Knowledge of computer vision/image processing and machine learning, especially deep learning. Knowledge of signal processing, robotics, neuroscience, or psychology is helpful. Fluent English, spoken and written, and good communication skills are mandatory. Experience with publishing scientific papers is an advantage.

Please send your electronic application in a SINGLE PDF DOCUMENT (including a cover letter, a detailed CV, a certificate of your latest degree including grades) to [email protected]. The closing date for applications is:

February 22nd, 2022 (after this date, the above link will not be valid any more)

Best regards, Simone Frintrop

Dear Colleagues, Please consider this two-year post-doc position in Saint-Étienne, France, on Machine Learning and Bioacoustics.

https://laboratoirehubertcurien.univ-st-etienne.fr/en/teams/data-intelligence/job-opportunities/post-doctoral-position-2-years-on-artificial-intelligence-and-bioacoustics.html

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

Details of the offer are available at This address:

Dynamic Human-Agent Interactions adapted to users' profiles.

https://l3i.univ-larochelle.fr/spip.php?action=acceder_docum ent&arg=1675&cle=18f8865a07a5837e135038516847ef81c846c59a&file=pdf%2Fcifre_phd_proposal_dynamic_human_agent_interactions_adapted_to_users_profiles_cle07 da8a.pdf

Le.la successful candidate must hold a master's degree or a master's degree equivalent degree in computer science or automatic language processing

. A strong background in machine learning and good communication in English are required.

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

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

- Detailed

CV - Bachelor's and Master's degrees.

- Letters of recommendation

Applications will be considered until 1 March 2022.

Sincerely Antoine Doucet

Dear colleagues, We are accepting applications for a Ph. D. Position at LIFAT Laboratory in Tours, France.

You can find all information here: http://www.rfai.lifat.univ-tours.fr/ph-d-position-10-2022-learning-spatio-temporal-data-by-graph-representations/

** Deadline for applications: April 8, 2022 **

Regards,

Donatello Conte placeholder image Associate Professor Head of Computer Science Departement

Polytechnic School of the University of Tours Laboratory of Fundamental and Applied Informatics of Tours (LIFAT)

Di Wang is currently an Assistant Professor in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at the King Abdullah University of Science and Technology (KAUST). He is always looking for postdoc positions, with a flexible start date. The initial appointment will be 1-2 years, with the possibility renewal for one for two additional years depending on the performance. The position will remain open until filled. The salary will be 70K-90K USD (there is no tax in Saudi Arabia).

His interested areas include Machine Learning, Statistical Estimation, Fairness, Privacy and Security, see his personal website for details. If you are interested in working or have common interests with him, feel free to send him ([email protected]) your CV. Successful candidates will be further contacted to provide more documents (e.g., two recommendation letters or a short statement of research plans).

Candidates need to hold an earned Ph.D. (or be near completion) in computer science, ECE, applied mathematics, statistics or in a related field with mathematics or statistics or good programming skills in C/C++/Java/Matlab/Python. The position holders will perform interdisciplinary research, shape research directions, produce and disseminate results through publications, coordinate research projects and help to supervise PhD. and M.S. students.

KAUST offers: 1. Very competitive tax exemption salary and benefit package (e.g., free high-standards fully furnished houses, health insurance, education at KAUST international schools for children, 20 days of paid vacation per year, relocation allowance, repatriation allowance).

2. Sufficient funding support (e.g., conference attendance and international trip support).

3. State-of-the-art research facilities, including one of the fastest supercomputers in the world (IBM BlueGene, 64000 cores, 64TB RAM), and a word-class visualization

4. Solid collaboration (including exchange visits) with our partners.

5. Vibrant campus life and impressive recreational facilities that include a private beach, marina and golf course.

Topic: Deep Learning for Biomedicines

Location: Hubert Curien Laboratory, UMR CNRS 5516, IOGS, Jean Monnet University of Saint-Etienne (France)

Information and contacts: Emilie Morvant : [email protected]

Amaury Habrard : [email protected]

(to apply send a cv and a cover letter to the two addresses above)

Subject: Advanced therapy medicinal products open up new therapeutic perspectives. However, they should generally be released and administered as quickly as possible and safely to recipient patients. The SCANBioM project, in which this postdoctoral fellowship is inscribed, aims to participate in the development of an ultra-fast microbiological control solution for these drugs allowing a reduction in manufacturing times, while limiting the risk of contamination of patients. It also aims to reduce the costs of microbiological controls carried out on raw materials and products throughout the production cycle. This will facilitate the research and use of these innovative therapies.

This project involves 4 partners (Laboratoire Hubert Curien, the company bioMerieux, the public health institution Centre MEARY, the company Molsid)

The rapid microbiological detection system that will be developed will be based on an existing device of the company bioMerieux. This one, already functional, makes it possible to detect in a first step bacteria dispersed over a large area. In a second step, a more detailed analysis by microscopy on the pre-detected areas confirms the presence of bacteria. This confirmation step is currently performed manually.

The goal is to make these steps automatic without loss of device performance.

The work to be carried out by the post-doctoral fellow will consist in developing a deep learning method for the detection of bacteria. The model can be used to help visually confirm microorganisms by potentially taking advantage of active learning techniques. In a second step, a purely automatic version of the model will be developed, an analysis of the areas of uncertainty of the model as well as interpretability frameworks can be proposed to improve the robustness of the model.

Profile: The candidate must be a Doctor of Machine Learning with experience in deep learning. Knowledge of applied mathematics and computer vision is a plus. The use of libraries for the development of deep learning models will be necessary.

We are looking for a Language Engineer to join the Sonos Language team in Paris and help us build the Sonos Voice Experience.

Location: Paris (France), or remote (France, UK)

At Sonos, we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realise our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

What you’ll do - Manage, process and provide insights about large amounts of textual and audio data

- Use your linguistic and software knowledge to build the tooling backbone to support our team of linguists in the vast variety of tasks they tackle

- Collaborate with teammates and other teams in defining guidelines and workflows to efficiently share and leverage language data

- Put your flexibility to work by tackling new tasks and operating in a challenging, yet exciting environment

Skills you need - Degree in Linguistics with a specialization in Language Engineering or Computational Linguistics, or other meaningful experience

- 2+ years of previous experience working with language data

- Proficiency in scripting, querying and/or analytics tools, such as MongoDB, SQL, Python, R, bash, or similar

- Good working knowledge of the structural aspects of a given language (morphology, syntax, semantics, phonology, phonetics)

- Ability to formalize, analyze and solve complex problems

- Excellent verbal and written communications skills in English

Preferred

- Experience with Speech Technologies, Natural Language Understanding, Automatic Translation, Information Extraction, Knowledge Representation / Ontologies

- Working knowledge of a language other than English and your native language

To apply, please use the following link: https://sonos.wd1.myworkdayjob s.com/Sonos/job/Paris-France/ Language-Engineer_R985-1

Dear, Please find below an offer for a post-doc position in machine learning and data visualization applied to the news media industry. May I ask you to disseminate this offer in the networks you find relevant ?

The complete job offer is here: https://euraxess.ec.europa.eu/jobs/747755 … and a summary is available below.

Application should be sent to me ([email protected]) as soon as possible and no later than March 20th, 2022.

The MiiL (Media Innovation and Intelligibility Lab), the ORM (Research Observatory on Media and Journalism) and the Social Media Lab at UCLouvain (Belgium) are looking for a post-doc researcher for a 3-year project named ODALON, starting as soon as July 2022.

The project is dedicated to leveraging the potential of open data in the context of local news production, with machine learning and data visualization tools. It is funded by the Walloon Region and the Rossel Group, the biggest media group in the french-speaking Belgian community.

It is an applied research project: the hired researcher will evenly split the work time between UCLouvain offices and Rossel headquarters.

Strict condition required by the funding program: the candidate shall have spent less than 12 months in Belgium over the last 36 months (on a professional basis).

Kind regards, Antonin

*** Thesis proposal: Point cloud based large-scale place recognition - Application to the prevention against fake news

Full text in English: https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-EN.pdf

Full text in French: https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-FR.pdf

Subject of the thesis The thesis project focuses on 3D point cloud based large-scale place recognition, with the application of geolocation of 3D image data. Without any extra information of the initial position, geolocalazing image content relies on the indexing and retrieval of content similarities in a geolocalized reference. This thesis proposes to study this type of approach by exploiting 3D maps based on acquisition campaigns (in particular LiDAR) that are becoming mainstream thanks to high quality geometry reconstruction which makes them attractive, but also complex to handle given their volume and diversity. Please consult the full text in PDF for the description of the subject thesis.

The fields of application of place recognition from images are numerous, we will deal here with the case of the geolocation of amateur video sequences as a certification tool for the prevention against fake news. Massively spread on social networks and on the web, amateur videos relaying information or an event are now very important, with among them content that is fake news, i.e. taken outside of its original context, to express bad or false information. To fight against this form of misinformation, several media, such as the French public television channel “France TV”, have set up a fact checking unit of images and videos which analyzes, verifies and certifies these streams. This complex work is done by hand and would benefit from being automated by using artificial intelligence tools. The verification of geolocation was recognized as essential to best explain what is happening. It is in this collaborative context between IGN and France TV that we focus on this geolocation criterion with the desire to exploit the best georeferencing repositories of today to offer automatic large-scale geolocation solutions, which can, among other things, contribute to the fact checking of visual information.

Bac+5 in computer science, applied mathematics or geomatics (master or engineering school). A good background in machine learning is required, and a knowledge on 3D computer vision or image indexing will be appreciated. The successful candidate must have good programming skills (Python, C/C++). Although fluency in French is not required, fluency in English is necessary. Curiosity, open-mindedness, creativity, perseverance and the ability to work in a team are also key personal skills in demand.

Please note the only students from the European Union, the United Kingdom or Switzerland are eligible for this thesis project.

* Start: last quarter of 2022

* Place: the thesis will be carried out in Paris area at the LaSTIG laboratory, located in Saint-Mandé (73 avenue de Paris, Saint-Mandé metro, line 1) in the premises of the IGN. The doctoral student will be attached to the MSTIC Doctoral School (ED 532).

The French mapping agency IGN (National Institute for Geographic and Forest Information) is a public administrative establishment attached to the French Ministry of Ecological Transition; it is the national reference operator for mapping the French territory. The LaSTIG Laboratory in Sciences and Technologies of Geographic Information for the smart city and sustainable territories, is a joint research unit attached to the Gustave Eiffel University, the IGN and the School of Engineering of the city of Paris (EIVP). It is a unique research structure in France and even in Europe, bringing together around 80 researchers, who cover the entire life cycle of geographic or spatial data, from its acquisition to its visualization, including its modeling, integration and analysis; among them about thirty researchers work in image analysis, computer vision, machine learning, photogrammetry and remote sensing. LaSTIG researchers can be involved in the teaching activities of the IGN engineering school, the ENSG (Ecole Nationale des Sciences Géographiques), which offers access to undergraduate and graduate students with excellent quality in fields related to geographic information sciences: geodesy, photogrammetry, computer vision, remote sensing, spatial analysis, cartography, etc.

*** How to apply Before March 28, 2022, please send both contacts in a single PDF file the following documents:

- A detailed CV - A topic-focused cover letter

- Grades and ranks over the last 3 years of study - The contact details of 2 referents who can recommend you

*** Contacts - Laurent Caraffa – [email protected], Researcher at LaSTIG (thesis supervisor), IGN, Gustave Eiffel University

- Valérie Gouet-Brunet – [email protected], Research director at LaSTIG (director of the thesis), IGN, Gustave Eiffel University

Dear All, We have an Engineer position offered for the Activis project at INRIA research center Sophia Antipolis, France

ACTIVIS - Video-based analysis of autism behavior

The ACTIVIS project is an ANR project started in January 2020 and will end in December 2023 (48 months). This project is based on an objective quantification of the atypical behaviors on which the diagnosis of autism is based, with medical (diagnostic assistance and evaluation of therapeutic programs) and computer scientific (by allowing a more objective description of atypical behaviors in autism) objectives. This quantification requires video analysis of the behavior of people with autism. In particular, we propose to explore the issues related to the analysis of ocular movement, gestures and posture to characterize the behavior of a child with autism.

A. Ali, F. Negin, S. Thummler and F. Bremond. Video-based Behavior Understanding of Children for Objective Diagnosis of Autism. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP 2022, Virtual, February 6-8, 2022.

link to job offer: https://jobs.inria.fr/public/classic/en/offres/2022-04347

THE LABORATORY: Predictops Lab is a laboratory dedicated to artificial intelligence. It is a joint laboratory (LabCom) between a team of Intelligence Artificielle from the University of Bourgogne Franche-Comté and the company SAD Marketing, a specialist in spatial predictive analysis.

Predictops Lab's research topics aim to help emergency preparedness and health address the important issues they face.

Here are the areas of data science covered by the laboratory:

Predictive analytics, Image processing,

Automatic processing of natural tongues, Algorithmes d'optimisation.

Missions : - Work on prediction algorithms for the various firefighters' interventions: fire, flood, personal rescue.

- Identify the relevant explanatory variables by type of intervention.

- Set up continuous data recovery flows.

The technical environment: - python - AI: pandas, scikit-learn, keras

Profile:

Research Engineer or Postdoc 3 to 6 years of experience desired

Duration: 6 months with possibility of renewal

Start date: as soon as possible

contact : [email protected]