The Interdisciplinary Computational Vision Lab (http://icvl.cs.bgu.ac.il/) at Ben Gurion University (https://in.bgu.ac.il/en/Pages/about.aspx) is looking for highly motivated candidates for a postdoctoral position in computer vision, machine learning, and geometric processing as part of the RePAIR H2020 project ("Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage" - https://cordis.europa.eu/project/id/964854).
The position involves research into computational and algorithmic visual puzzle solving techniques (both 2D and 3D), novel methods for geometric processing of 3D data, formalization of expert knowledge regarding fresco reconstruction processes, and collaboration with robotics experts for the integration of puzzle solving algorithms into robotic systems.
Duration: 12 months (renewable up to 36 months)
Salary: Competitive tax-exempt fellowship between $30-45K/year based on experience and qualifications
Location: The Interdisciplinary Computational Vision Lab , Ben Gurion University, Beer Sheva, Israel. Position includes occasional travel to Europe for research and fieldwork meetings.
Starting date: Flexible. Dec 1, 2021 or later
Qualifications: Applicants should hold a PhD in Computer Science, Applied Math, Electrical Engineering, or a closely related field
Research experience in computer vision, machine learning, and/or other aspects of artificial intelligence.
Proficiency in English (both written and verbal communication) and programming are required
Previous experience with interdisciplinary research in general, and computational cultural heritage is particular, are an advantage.
To apply, please email the following materials to
Cover letter with research statement and career interests Academic CV including list of publications and the name and contact information of at least two professional references Electronic reprints of two selected peer-reviewed publications (downloadable links preferred)
While the Corona pandemic situation is always dynamic, with most of the population in Israel vaccinated to COVID19 and the university campus now operating normally, BGU welcomes international scholars and provides an open, safe, and lively research environment.
For more information, please contact Prof. Ohad Ben-Shahar at [email protected] .
@ BioImage Analysis Unit, Institut Pasteur, Paris https://research.pasteur.fr/en/team/bioimage-analysis/
Starting date: As soon as possible. This position will remain open until filled.
In collaboration with Rafael Yuste’s lab @ Columbia University, New-York https://blogs.cuit.columbia.edu/rmy5/
Profile Strong background in image analysis (e.g. particle detection and tracking, machine-learning…). Motivation to apply this knowledge to biology is required.
General environment The post-doc will be based at Institut Pasteur in Paris. With more than 2,000 collaborators and 100 research units, Institut Pasteur has a vibrant interdisciplinary academic community.
The recruited post-doc will work under the supervision of Dr. Thibault Lagache, with frequent interactions with the neighboring experimental and computational scientists of the BioImage Analysis Unit. Joint meetings and trips to Rafael Yuste’s lab in New-York are also planned.
How to apply Please send CV and two reference contacts to Dr. Thibault Lagache ([email protected])
General information about the project: Background Although a lot is known about how the structure of the nervous system develops, it is still unclear how functional modularity arises during development. A dream experiment would be to observe the entire development of a nervous system, correlating the emergence of specific functional units and their associated behaviors.
To explore this, we will use the small cnidarian Hydra vulgaris, a representative of some of the simplest nervous systems in evolution. Indeed, Hydra possess the fascinating property of being able to reassemble itself into a normal animal, after its complete dissociation into individual cells.
To examine how functional modularity arises during development, and the role of the Hydra nervous system in organizing and coordinating muscular patterns into pre-defined behaviors, we will take advantage of Hydra’s unique regeneration properties and image the neuronal and muscle calcium activity of dissociated preparations as they re-aggregate into a synchronized system over a period of several days. Indeed, Hydra’s remarkable ability to self-assemble into a normal animal from a dispersion of dissociated cells represents a phenomenal challenge for biologists and remains poorly understood.
Mission From the two-color high-speed imaging of the calcium activity of individual neurons and muscular cells in regenerating hydra (Yuste’s lab), the project of the recruited post-doc will be to develop a robust methodology to track the calcium activity of individual neurons in re-aggregating animals. Indeed, the motion and deformation of the regenerating animal, together with the intermittent activity, and therefore detectability with calcium sensors, of neurons call for the development of innovative tracking strategy. Another challenge will be the characterization of the emergence of functional modules in the neuronal population from the monitoring of the calcium activity of individual neurons. To relate these emergent properties with the onset of coordinated muscle activity, we will use statistical models and test our predictions with optogenetic perturbation of emergent neuronal ensembles (Yuste’s lab).
These developments will provide a pioneer experimental and analytical framework to monitor the real-time emergence of functional modules in the uniquely plastic nervous system of Hydra, and the onset of coordinated muscle activity and behavior. This could reveal some of the basic principles of the self-assembly of neural circuit dynamics underlying behaviors throughout the animal kingdom.
Dear all, I have 2 fully-funded PhD positions available in the global PhD program of NYU.
Information link: https://nyuad.nyu.edu/en/academics/graduate/expression-of-interest-form.html
Interested Mechanical/Civil/Computer science students are very welcome to directly contact me as well as express their interest in the above link and apply to the Global PhD program of the Tandon school of Engineering (within the above link).
Thank you, kind regards, - - - - - - - - - - - - - - - - - - - Nikos Karathanasopoulos Assistant Professor New York University (NYUAD)
Department of Engineering PO Box 129188, Saadiyat Island, Abu Dhabi, United Arab Emirates
Application link https://s.ntnu.no/PostDOC_CNN_VQM
A 45 months Postdoctoral position is available at the Department of Computer Science in Gjøvik. The position will focus on detecting and classification of distortions and enhancements affecting the video quality. The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.
The Postdoctoral position is part of the research project “VQ4MedicS: Video Quality Assessment and Enhancement for Pre-Hospital Medical Services”. The project aims to evaluate the quality of the video streamed by paramedics and patients to doctors at the hospital, so they can diagnose and provide instructions remotely.
The Postdoctoral position will focus on developing methods and techniques for characterising possible visual distortions and enhancements affecting the quality of the video stream. This information could then be used in proposing new video enhancement and video quality metrics.
Required selection criteria You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD
A professionally relevant background in machine learning, video quality, color imaging, computer vision or similar
Background or experience in deep learning frameworks (Tensorflow, Keras, or PyTorch)
Good programming skills
Excellent oral and written communication skills in English and an ability to communicate effectively
Preferred selection criteria
Knowledge of the human visual system.
Familiarity with subjective or objective video quality assessment.
Experience in working in an interdisciplinary project.
As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 553 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 45 months.
About the application Please submit your application electronically via jobbnorge.no. Applications submitted elsewhere will not be considered.
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.
The application must include: A cover letter where the applicant describes his/her personal motivation and relevance with respect to the requirements of the advertisement.
A research proposal (maximum three pages) which could link your research experience to the focus of the project (detecting and classification of distortions and enhancements).
CV, certificates and diplomas.
Transcripts and diplomas for bachelor's-, master's- and PhD degrees. Academic works - published or unpublished - that you would like to be considered in the assessment (up to 3 items).
Name and contact information of three referees.
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
If you have any questions about the position, please contact Dr. Seyed Ali Amirshahi ([email protected]). If you have any questions about the recruitment process, please contact Stine Terese Ruen Nymoen, ([email protected]).
Application deadline: 15.11.2021
Knowledge engineering research engineer (CDI)
Emvista turns email into a productivity tool with Prevyo, an intelligent virtual assistant. Prevyo is able to redirect your e-mails, to detect those which are really urgent, to classify the attachments, to enrich your address book.
Emvista, a company located in Montpellier, is the publisher of Prevyo.
Prevyo is based on a hybrid artificial intelligence that combines the two machine learning / deep learning approaches and linguistic and ontological knowledge. This AI semantically analyzes e-mails by relying on numerous technological bricks such as the recognition of temporal expressions, the recognition of named entities or even the extraction of events. This information is represented in ontological form from which automatic reasoning is able to reveal knowledge that did not appear at first.
Job overview Attached directly to the research director to strengthen the R&D team specializing in Automatic Natural Language Processing and Knowledge Representation technologies, we are looking for a research engineer in these areas.
You will also be in contact with the development team.
CDI Partial teleworking possible
Montpellier
Missions The main mission for the candidate is to take charge of knowledge engineering work (ontologies, knowledge bases, reasoning) generally to be used for Automatic Natural Language Processing technologies used in Emvista projects. In this context, the missions are as follows:
Contribution to the research and development of technological bricks already existing at Emvista (knowledge representation for parsing bricks, standardization, recognition of named entities, analysis of opinions / emotions, automatic summary, keyword extraction, generation of concepts , conversational agent, etc. )
Watch and state of the art in the field of knowledge engineering and NLP
Tool evaluation (academic and industrial)
Supervision of students (interns, doctoral students, etc. )
Scientific publications (articles in national and international conferences and journals, participation in workshops, etc. )
Popularization of research (journalistic articles, social networks, etc. )
In particular, Emvista is a partner of a collaborative research project called XP-Event “Extraction and Prediction of Events”. This project, funded by the Occitanie region, involves three partners: Emvista, Geotrend and the Toulouse Computer Science Research Institute (IRIT, MELODI team). The XP-Event project aims to bring to maturity the technologies of industrial partners making it possible to extract the events described in large volumes of textual content (in particular the Web, social networks and business messaging) and to predict upcoming events so as to give them back to an expert in a synthetic way, according to his field of expertise.
The project focuses on the following three areas of research:
Representation of events in ontological form;
Extraction of events guided by ontology;
Enrichment of knowledge graphs
XP-Event will mobilize several people from the Emvista R&D team, including you, whose mission will be to take charge of the work relating to knowledge engineering in collaboration with the partners. The successful candidate will be fully invested in XP-Event during the first 3 years of the project. The results of the research carried out on the XP-Event project will be integrated into the commercialized solutions of Emvista, including Prevyo. This will notably involve structuring the information contained in the e-mails (names of projects, activities, clients, etc.) in order to identify requests for information and action from users and to predict actions in order to to facilitate their organization.
Profile & Attitude Very good knowledge of knowledge engineering technologies
Mastery of ontology editing tools (for example Protégé)
Doctorate or engineering degree with specialization in Knowledge Engineering or Automatic Natural Language Processing
Mastery of research techniques and methodologies
Very good written expression in French (ideally also in English)
To be a teacher
Good knowledge of Java
Further information Host unit: Emvista (India Juliet group)
Location: Cap Omega, Rpt Benjamin Franklin, CS 39521, Montpellier, France
Please send your application to [email protected] consisting of the CV and a cover letter.
Cédric LOPEZ - Research Director [email protected] +33 434 480 479 / +33 672 642 577 Emvista - www.emvista.com
Cap Omega - Benjamin Franklin Roundabout CS 39521 - 34960 Montpellier Cedex 02 - France
Cédric Lopez [email protected]
Java / Kotlin Engineer - NLP (CDI)
Emvista presentation Emvista turns e-mail into a productivity tool thanks to Prevyo, an intelligent virtual assistant. Prevyo is able to redirect your e-mails, to detect those that are really urgent, to classify the attachments, to enrich your address book. The whole automatically of course.
Emvista, a company located in Montpellier, is the publisher of Prevyo.
Prevyo is based on hybrid artificial intelligence that combines the two machine learning / deep learning and knowledge approaches linguistic and ontological. This AI semantically analyzes the e-mails based on numerous technological bricks such as that the recognition of temporal expressions, the recognition named entities or the extraction of events. This information is represented in ontological form from which automatic reasoning is able to reveal knowledge that did not appear at first glance.
Job overview The position to be filled is hybrid, that is to say that the candidate must have a backend dev profile (Java / Kotlin) with a curiosity (or even more than a curiosity) for the world of research, in particular in the field of Automatic Language Processing Natural (TALN or NLP). In fact, the successful candidate will be Reporting to the technical director and the research director. The objective is for Emvista to strengthen the development team of Emvista's text analysis technology.
- CDI
- Mutual fund 100% supported by the company.
- Partial or full teleworking possible
Missions - Participate in technical design and product development
- Coach, manage and advance the members of your team
- Collaborate with other professions
Profile & Attitude - 2 years of experience in the development of server solutions in Java / Kotlin and particularly on the Spring Boot framework and Data Flow
- Good command of development practices (Craftsmanship, TDD, Clean code)
- Knowledge of Docker and the constraints associated with containerization
- An attraction for the world of R&D
- Knowledge of NLP, more generally in the science of data or linguistics
- You like teamwork and you want to learn more every day
- You understand the challenges of the DevOps culture both at the collaborative than technical
Technical stack - Docker - Angular, TypeScript, Java, Kotlin, Spring, Spring Data Flow - Gradle, Maven - MongoDB, RabbitMQ, MySQL - Prometheus, Grafana - Jenkins
Further information Host unit: Emvista (India Juliet group)
Location: Cap Omega, Rpt Benjamin Franklin, CS 39521, Montpellier, France
Please send your application to [email protected] constituted CV and cover letter.
Hello All the details of the offer are on the CNRS job portal:
https://bit.ly/3maSgwD Regards
Cédric Lopez [email protected] NLP Research Engineer (CDI)
Emvista presentation Emvista turns e-mail into a productivity tool thanks to Prevyo, an intelligent virtual assistant. Prevyo is able to redirect your e-mails, to detect those that are really urgent, to classify the attachments, to enrich your address book.
Emvista, a company located in Montpellier, is the publisher of Prevyo.
Prevyo is based on hybrid artificial intelligence that combines the two machine learning / deep learning and knowledge approaches linguistic and ontological. This AI semantically analyzes the e-mails based on numerous technological bricks such as that the recognition of temporal expressions, the recognition named entities or the extraction of events. This information is represented in ontological form from which automatic reasoning is able to reveal knowledge that did not appear at first glance.
Job overview Reporting directly to the research director to strengthen the R&D team specializing in Processing technologies Automatic Natural Language and Representation of Knowledge, we are looking for an engineer from research in these areas.
You will also be in contact with the development team.
- CDI - Partial teleworking possible - Montpellier
Missions The main mission for the candidate is the support work involving learning techniques and models (machine learning / deep learning) within Emvista projects. In this framework, the missions are as follows:
- Contribution to the research and development of bricks technologies already existing at Emvista (parsing, normalization, named entity recognition, analysis opinions / emotions, automatic summary, word extraction keys, concept generation, conversational agent, etc.)
- Watch and state of the art in the field of NLP - Assessment of NLP solutions (academic and industrial) - Supervision of students (interns, doctoral students, etc.) - Scientific publications (articles in conferences and national and international newspapers, participation in workshops, etc.)
- Popularization of research (journalistic articles, social networks, etc.)
In particular, Emvista is coordinator of a research project collaborative entitled POPCORN “Operational population of Knowledge and Neural Networks ”. This project funded by the Innovation and Defense Agency (AID) involves three partners: Emvista, Airbus Defense and Space and the Laboratory of Computer Science of Grenoble (GETALP team). The POPCORN project addresses the problem of semi-automated enrichment of a knowledge base via automatic text analysis. The project focuses on three following lines of research:
- Generation of synthetic textual data from reference texts; - Recognition of entities of interest, associated attributes and relationships between entities. - The semantic disambiguation of entities (in case of homonymy for example)
POPCORN will mobilize several people from the Emvista R&D team, including you who will be responsible for the work involving machine learning / deep learning applied to collaborative text with partners. The successful candidate will be fully invested in POPCORN during the first 3 years which correspond to the duration of the project, from January 3, 2022. The results of the research carried out on the POPCORN project will be integrated into the solutions marketed by Emvista, including Prevyo. This will include structure the information contained in the e-mails (project names, activities, customers, ...) in order to populate a database with a customer relationship management (CRM).
Profile & Attitude
- Very good knowledge of machine learning algorithms for automatic natural language processing
- Mastery of recent language models, in particular for the French (BERT, FlauBERT, CamemBERT,…)
- Doctorate or engineering degree with specialization in Automatic Natural Language Processing
- Mastery of research techniques and methodologies
- Knowledge of new NLP technologies, approaches statistics applicable to NLP
- Very good written expression in French (ideally in English also)
- Be a teacher
- Good knowledge of Java, mastery of Python as well as ML / DL frameworks (PyTorch, TensorFlow, Scikit-Learn ...)
Further information
Host unit: Emvista (India Juliet group)
Location: Cap Omega, Rpt Benjamin Franklin, CS 39521, Montpellier, France
Please send your application to [email protected] constituted CV and cover letter.
Internship / CDD on the prediction of value of a footballer by deep learning
context A football club has to make many decisions about its players, for example example of identifying the right players to recruit based on club criteria or estimating the cost of transfers.
The information to support this kind of decision is diverse (individual statistics number of players, media popularity, transaction history) and their availability vary.
This internship is part of a collaboration between a company developing a management software for a sports club and the ICube laboratory. This work will be continued under the form of a CIFRE thesis.
Goals The objective of this internship is to predict the worth of a football player, in particular to analyze the difficulties encountered such as the heterogeneity of data and histories available, and to propose and evaluate a deep neural network architecture. A first part will require identifying and collecting adequate data, in parallel a study of the state of the art and a reflection on the approach.
Expected work The work will be organized according to the following stages: ● bibliographic study of existing works, ● formalization of a learning task ● identification and data collection ● reflection on the representation of data ● choice of an architecture for deep learning ● experimental evaluation
Organization The internship will take place in the company in Strasbourg. It should start in February-March 2022 and last at least 6 months. Depending on the profile and motivation of the trainee, the usual bonus of € 600 will be replaced by a fixed-term contract at the minimum wage. The work could be pursued in CIFRE thesis.
Required profile ● second-year master's student or final year of engineering school ● knowledge and experience in data science, in particular data collection internet data, data transformation, machine learning and deep learning ● Knowledge of the sports field is not a prerequisite and may be acquired As things progress.
Candidacy Send an email outlining your motivations and your CV to [email protected]
Security hardening based on multi-agent system verification in the context of the connected car infrastructure
Keywords: Security, Formal Verification, Model Checking of Multi-Agent Systems, Security Risk Management, Attack Modelling
Description Recently, classic verification approaches such as model checking have been extended to handle multi-agent systems. These are systems that encapsulate the behavior of two or more rational agents interacting among them in a cooperative or adversarial way, aiming at a designed goal. In system security checking, a malicious attack can be seen as an attempt of an intruder to gain unauthorized access to a resource or as an attempt to compromise the system integrity. The envisioned approach is: given an attack model of the system (such an attack graph), to model the interactions between the attacker & defender as a game on this attack model and use multi-agent system verification techniques to determine optimal defense strategies.
Goals The global objective of this postdoc is the use of methods and tools for security hardening in the context of the connected car infrastructure based on a formal verification approach.
Some of the challenges of this postdoc will be to answer to the following questions:
How can we select security counter-measures ensuring the best trade-off between security level achieved and other constraints?
How can we capture the dynamic between the attacker and the defender?
How can we integrate these decision support tools in the classical risk management process such as defined by the ISO/IEC 27005 without redefining it completely?
Profile and skills required - PhD in computer science, mathematics, or related fields.
- Strong computer science and/or mathematical background (with particular attention on formal methods, logic, and security).
- Good programming skills.
- Good level in written and spoken English.
How to apply If you are interested you can apply by sending your CV and motivation letter to: [email protected] and [email protected]
Deadline for application submission: November 19, 2021.
Context ISAE-SUPAERO is an international benchmark institution for higher education and research in aeronautics and space.
The CREME project aims to design and produce a flight model of a nanosatellite in the format CubeSat type 3U. This CubeSat carries a payload of the radiation monitor type designed and developed by ONERA.
The partners of this ERDF Region Occitanie project are ONERA, ISAE-SUPAERO, both founding members of the University Space Center of Toulouse (CSUT) and project leaders, and 3 SMEs in the space sector (3D Plus, EREMS and TRAD). As part of this project, ISAE-SUPAERO is recruiting an Engineer Flight software / Embedded Systems for the DCAS technical team.
Job Description The objective of this position is to participate in the development of CREME's flight software.
This software is responsible for managing all the subsystems of the CREME satellite platform and helps to ensure the proper functioning of the payload associated with it.
Concretely, the duties of the position will consist of designing, developing, integrating and validating the IP VHDL necessary for the flight software and test equipment, develop the layers base of the drivers associated with VHDL IPs, develop the specific application software layers mission specific and participate in flight software validations. Special care will be provided for documentation, testing and validation.
The recruited person will work in collaboration with the technical teams of the institute and a of the challenges of the position is to ensure the sustainability of all of this work for future nanosatellite platform projects.
Training and skills required: - Holder of a Bac + 5 diploma, in engineering school or university - Mastery of VHDL language and C - Knowledge of communication buses (I2C, SpaceWire, RS422 ...) - Knowledge of Xilinx design tools - Good interpersonal and communication skills - Autonomy, versatility, rigor and ability to look back on its activities
Most : - experience on the Zynq target - experience on the XtratuM hypervisor - experience in the fields of space engineering, design or development space systems, more particularly on CubeSat projects.