A TEMPORARY CONTRACTUAL TEACHER M / F

The University of Technology of Compiègne is recruiting a temporary contractual teacher for the computer engineering (IM) department.

The computer engineering department offers post-baccalaureate training (common core) as well as engineering training (engineering cycle, continuing and work-study training). It also provides teaching in research training (master's and doctorate).

The computer engineering department hosts the LMAC and Heudiasyc laboratories. He maintains strong relationships with the industry and cultivates close ties with international institutions and partners.

Workplace Compiegne

Type of contract and estimated recruitment dates Fixed-term contract - immediate appeal until 08/31/2022

Annual service 384 hours equivalent TD

Missions The recruited candidate provides computer training in the preparatory engineering cycle (bac + 1/2) and in the engineering cycle (bac + 3/4).

He / she could be required to provide various specific lessons to training through apprenticeship. He / she will also participate in the teaching of the preparatory engineering cycle and the computer engineering branch.

He / she will be able to take charge, more particularly, of the following courses in computer science:

Artificial intelligence: problem solving - logic programming; p rogramming object; algorithmics and data structures; data base ; operating systems: from concepts to programming; language theory; programming of Internet applications; software testing and verification .

He / she participates in educational engineering and the development of courses for training in the computer engineering branch. He / she will also be able to contribute to the development and evolution of teaching methods: inductive methods, serious games, reverse lessons, project workshops, etc.

He / she will also participate in the coordination of the educational offer in conjunction with academic and industrial partners: monitoring apprentices and engineering students, juries, etc.

Profile Bac + 5 training in computer science or equivalent, doctorate in computer science desired

Proactivity on educational innovation aspects

Industrial cooperation encouraged Teamwork skills

Involvement in communication actions (open days, work-study engineers day, etc.) carried out within the computer engineering department

Proven fluency in French and English

Means: access to the technological platforms of the IM department http://www.hds.utc.fr/heudiasyc/recherche/plateformes/ and numerous instrumentation equipment and open-source software tools developed for several years in the department.

Contact Marie-Hélène Abel, director of the computer engineering department [email protected]

Candidacy A CV and a letter of application must be submitted, in pdf format, to the following address:

http://candidature.utc.fr/seignant_contractuel/

For further information : Lydie Rodriguez: Tel. 03 44 23 52 81

UTC - human resources department - recruitment department - UTC / DRH / PR / 2021

www.utc.fr - section: recruitment

Teacher. Marie-Helene Abel Director of the Computer Engineering Department University of Technology of Compiègne,

UMR CNRS 7253, HEUDIASYC laboratory Innovation site CS 60 319 60 203 Compiègne cedex - France

Phone. +33 (0) 3 44 23 49 50

Mobile. +33 (0) 7 61 74 08 53

http://www.hds.utc.fr/~mhabel

We are seeking to appoint a Research Fellow in Artificial Intelligence within UCL’s Department of Computer Science to work on a 3-year project on repurposing funded by the Leverhulme Trust.

PROJECT TITLE: Repurposing of Resources: from Everyday Problem Solving to Crisis Management

PI: Anthony Hunter, UCL Department of Computer Science, London

CIs: Antonis Bikakis, Luke Dickens, and Rob Miller, UCL Department of Information Studies, London

ABSTRACT: The ability to repurpose objects and processes is an important kind of human intelligence for dealing with mundane everyday problems through to large-scale crisis management.

Despite its ubiquity, it is largely unstudied in academia.

To address this, we will develop a general theory, and tools based on artificial intelligence, for repurposing.

We plan to harness and extend AI methods from machine learning (including supervised and semi-supervised learning from data and text) and machine reasoning (including commonsense reasoning, defeasible reasoning, ontological reasoning, and computational argumentation).

To ground our research, we will use substantial case studies (for example in everyday contexts such as cooking and DIY, through to key challenges such as recycling and crisis management), and undertake systematic evaluations.

Our emphasis will be on how repurposing can be emulated rather than on investigating its philosophy or psychology.

However, as our findings emerge, we will disseminate our work, and seek collaborations, in multidisciplinary contexts.

RESEARCH FELLOW POSITION: We would like to recruit a post-doc with experience in machine learning and/or machine reasoning who will be happy to contribute to the development of the general theory of repurposing, to take responsibility for compiling the corpora/datasets for the case studies, and to learn about, apply, and develop techniques that combine machine learning and machine reasoning for AI tools to undertake or support repurposing.

The appointment will be on UCL Grade 7. The salary range will be £36,028 - £43,533 per annum, inclusive of London Allowance.

For informal enquiries on the post please contact Anthony Hunter ([email protected])

To get further information about the post and apply for the vacancy, please follow this link:

https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041404&ownertype=fair&jcode=1878196&vt_template=965&adminview=1

Closing date: 1 Oct 2021.

CIFRE thesis offer in Automatic Language Processing in the field of Semantic Analysis Enterprise and context The company Ixiade, Absiskey group, is specialized in supporting innovation projects.

We are a multidisciplinary team composed of specialists from various fields (management, sociology, psychology, marketing, automatic language processing, etc.).

In order to provide our clients with valuable evaluations and information for their projects, we carry out numerous qualitative studies in the form of interviews, focus groups or online surveys of user communities.

The content collected during these studies is then analyzed according to several methods that use a set of socio-psychological criteria and aim to assess the acceptability of the innovations tested.

Object of the thesis The object of the CIFRE thesis that we propose would consist in the realization of a semantic analysis system with the aim of (semi-)automating the textual analysis process now carried out by hand.

Two theses in NLP are currently underway and aim to implement the semi-automation of one of Ixiade's expert methods.

On the other hand, a web platform for content analysis – which integrates NLP modules in the back end – is under development.

Today we would like to start this same process for another of our analytical methods.

Our methods are very specific and handle finer and more complex notions than what is traditionally used in sentiment analysis. In addition, the categories manipulated differ from one method to another.

Also, the implementation of this second method must be the subject of research work that is part of the continuity of previous work without being only an extension.

The main fields of research involved in this work are: - Semantic analysis - Tasks of information extraction and categorization of textual content - Semantic modeling or machine learning techniques according to the approach chosen as being the most relevant The target language is French

Additional information - Location: Grenoble (Europole district) - Contract: CDI - Start of the contract: as soon as possible - Laboratory: LIDILEM (UGA) - Contact: - Request for information: Doriane Simonnet ([email protected])

Application: please send your application to Doriane Simonnet ([email protected]) by copying Pascal Pizelle and Isabelle Fournié ([email protected] and isabelle.fournié@ ixiade.com)

Message distributed by the Natural Language list [email protected] Information, subscription

Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in artificial intelligence.

The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia.

We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling…).

All details can be found here (deadline is September 12th):

https://euraxess.ec.europa.eu/jobs/650796

https://jobs.unamur.be/emploi. 2021-05-27.7877206869

Best regards, Benoît Frénay

Hello Can you please post this AI job posting (CDI)?

Dassault Aviation is currently recruiting within the Prospective Department,

https://carriere.dassault-aviation.com/offre-de-emploi/imprimer-fiche-emploi-ingenieur-rt-en-ia-apprentissage-statistiques-h-f_7592.aspx

Engineer or Doctor of R and T in AI, Learning & Statistics M / F

“… Carries out scientific studies and contributes to research and technology (R and T) projects aimed at applying artificial intelligence (AI) and machine learning in the aeronautical, military and civil fields. "

Regards, Patrick fabiani

Job Description : Experienced in the use of software and applications IT in Text Mining and Deep Learning, KAISENS DATA is a fast-growing French company that offers opportunities career development and participation in projects with high added value.

We are looking for new talents specialized in linguistics with good qualities editorial.

Missions:

- Accurately annotate textual content

- Analyze ads and correct articles

- Collaborate with the team on drafting projects multilingual

- Be part of the business process

Advantages :

- Salary according to profile

- Restaurant tickets (9 euros per day) + 50% transport costs

- Mutual

- Employee savings plan

- Several career development possibilities

Geographic mobility :

- No travel

Taking office: - 01/10/2021

Prerequisites:

- Doctorate in linguistics, translation or terminology

- Postdoc experience will be an asset

- Master at least three languages (French - NATIVE COMPULSORY, English and others - experienced user)

- Solid knowledge of communication and writing

To apply:

Please send your CV and Cover Letter to Ms. Elena Sidorova ( [email protected] ).

Job Offer - Post-PhD @Nunki.co

Offer -> https://nunkico.notion.site/Job-Offer-Post-PhD-Nunki-co-538eec462ac14a759125dea1cb957969

Company Nunki.co is a French startup specialised in risk anticipation, detection and analysis. Due to its proprietary monitoring technology that leverages artificial intelligence and big data, Nunki.co provides real-time early alerts decisive to its customer. Hence allowing the proper conduct of operations.

We are developing a technology-intensive solution to structure real-time global information. These data enable media, security, logistics and market finance key players to make better decisions.

Our technology continuously analyzes large amounts of live data (social networks, web via crawlers, APIs, etc.) 24/7 to detect as quickly as possible the occurrence of major and inherently unpredictable events: attacks, accidents, natural & industrial disasters, health crises, etc.

We are currently accelerated by Station F (Paris, France) and ZeBox.

Job Description As part of the development of its technology, Nunki is looking for a PhD with a strong NLP background. Therefore your thesis must have been written in that field.

We already built a strong AI background using Topic Classification, Clustering, NED and Sentiment Analysis. As we are quickly growing we are looking for an experienced researcher to help us tackle our next challenges and build one of the best NLP technology worldwide.

You will continue to build and manage the research team, currently composed of 3 Datascientists. You will work closely with the CTO trying to find the best solutions for Nunki. Your goal will be to improve our current models, use the existing work to expand its capabilities and propose new solutions that allow Nunki's technology to take Nunki to the next level. The topic of research at Nunki is very broad, it basically covers the complete field of NLP, but the main focus lies on text classification, entity disambiguation and clustering.

Required Profile

Technical Skills

PhD in Computational Linguistics or Computer science, Very strong knowledge about NLP technologies: Neural Networks, LSTM, GRU, Transformers should have no secret for you,

A very good experience in deep learning approaches for NLP,

Good programming skills in Python,

A basic understanding of Linux is welcomed,

Soft-Skills

Very curious, problem solving should be your passion

The start-up spirit is very important, so you won't be afraid to work hard and get after it.

Someone who wants to be part of a great and growing team to make a valuable contribution

Correct English or, if you don't speak French well, a good English is required.

Specs

Here is our stack:

ML : Pytorch / scikit learn

Backend : Python / NodeJS / PostgreSQL / neo4j / solr

DevOps: GCP / AWS / Docker / Kubernetes

Workflow: GithubOps / ArgoCD

Application Send your CV, list of publications, personal projects or any other interesting element to [email protected] and [email protected].

Dear all, We are hiring a post-doctoral engineer in biomedical imaging/artificial intelligence.

Please see the job offer below. Application deadline: September, 17

Best regards, Frederic Claux

INTENSIVE - Digital Intelligences at the Service of Engineering for the Living at the University of Limoges

Building on a multidisciplinary dynamic, the University is running an inter-institute project on Life Engineering, in order to integrate a complete value chain combining scientific and technological aspects with societal and legal dimensions.

The Intensive project targets the fields of imaging as an exploratory approach including several modalities (multiphoton spectral imaging, CARS, electron microscopy, etc.) associated with clinical data. All of this data will be analysed using Artificial Intelligence approaches with the aim of isolating new specific signatures of pathologies and developing a tool at the service of practitioners, patients and researchers

Profile, skills: We are recruiting a post-doctoral engineer for a period of 12 months. This person should have an IT background and a PhD in AI or data analysis.

The University of Limoges Created in 1968, the University of Limoges is a regional university, at human scale, which trains more than 16,000 students and employs more than 1,800 agents.

At the heart of Europe, it is an important center of multidisciplinary higher education, in an environment most conductive to scientific development. Open, it is a place full of interactions, with a multiple student population, efficient reception structures, close teams, training based on very high-level research and for clearly identified opportunities. Its scientific excellence, with cutting-edge laboratories and large-scale partnerships, is helping to invent the world of tomorrow.

The University is structured into 5 Research Institutes:

GEIST: Genomics, Environment, Immunity, Health and Therapeutics

XLIM: Electronics, Photonics and coherent sources, Mathematics, Computer science and Image

IPAM: Institute of Applied Materials Processes

SHS: Human and Social Sciences

GIO: Governance of Institutions and Organizations

LOCALISATION: University of Limoges – XLIM Research Institute

CONTEXT: Intensive - Digital Intelligences at the Service of Engineering for the Living at the University of Limoges

Building on a multidisciplinary dynamic, the University is running an inter-institute project on Life Engineering, in order to integrate a complete value chain combining scientific and technological aspects with societal and legal dimensions.

The current challenges in Engineering for the Living cover very broad disciplinary fields which aim in particular to:

1. Improve prevention (i.e. earlier diagnosis, more inclusive, multimodal),

2. Improve the quality and sustainability of care (i.e. support for the practitioner, selectivity and traceability of treatments),

3. To increase the performance of the subjects (i.e. "augmented man").

In this context, the Intensive project targets the fields of imaging as an exploratory approach including several modalities (multiphoton spectral imaging, CARS, electron microscopy, etc.) associated with clinical data. All of this data will be analysed using artificial intelligence approaches with the aim of isolating new specific signatures of pathologies and developing a tool at the service of practitioners, patients and researchers. This medicine, which tomorrow will be more predictive, personalized or precise, must be supported in the legal field to guarantee respect for fundamental human rights.

This project is based on a panel of recognised and complementary skills from the GEIST, IPAM, XLIM, IRSHS and IRGIO institutes of the University of Limoges and will allow the development of new tools and new skills at the interfaces between the institutes.

Missions: In this project, the missions will be multiple.

We will be interested in determining the imaging modalities relevant to tasks of classification of labelled samples, for example healthy or pathological. A priori to facilitate this classification could be given by the experts but could also be inferred from the data, potentially very numerous.

Secondly, we will explicitly seek to generate signatures from multimodal samples. These signatures can be used to study the similarity between a new sample of other samples pre-integrated into the model.

Third, we will integrate non-imagery data. We will enrich the aforementioned procedures accordingly (classification and definition of signatures).

Essential interactions with all parties. The hiree will work directly with the microscopy engineer from the GEIST Institute and the engineer in charge of the project for biological aspects. She or he will interact closely with the opticians / photonists of the XLIM Institute for the acquisition of images on the different technological modalities, the GEIST researchers in biology and more generally, with all the personnel involved in the project.

Profile, skills: We are recruiting a post-doctoral engineer for a period of 12 months. This person should have an IT background and a PhD in AI or data analysis. Knowledge in image processing is desirable.

KNOWLEDGE : - Artificial intelligence (neural networks)

- Knowledge in explainable / interpretable AI would be appreciated for this project

- Image processing would be a plus

- Python programming and data manipulation with the Numpy and TensorFlow libraries

- Fluent English or French

OPERATIONAL SKILLS : - Collect and format the results, especially intermediate results, potentially numerous

- Analyse and interpret these results, derive graphs of values, trends

- Provide a technological and scientific watch

- Writing of scientific article(s)

SOFT SKILLS : - An ability to work independently (sense of organisation, versatility, adaptability) as well as in a team (interpersonal skills) is essential.

- The candidate should be able to work in a transdisciplinary environment and interact with specialists from other scientific disciplines than his or her own (curiosity, open-minded).

- Internal relations: o With engineers and researchers in biology from GEIST

o With photonic researchers from the XLIM Institute involved in the project

o With all the members of the project, during scientific meetings and seminars

External relations: o With researchers from the fields concerned by the project (during conferences, theme days)

Contract type : 12-month fixed term

Starting date : ideally November 2021

Application: Resume and cover letter (+reference letters, if any) to submit before September, 17 2021 to:

M. Frédéric Claux Associate Professor at the University of Limoges / XLIM [email protected]

More information about the project : https://www.unilim.fr/intensive (in French)

Postdoctoral Research Positions in Adaptive and Adversarial Machine Learning

PRECISE Center & GRASP Lab Department of Computer and Information Science University of Pennsylvania https://aro-muri2020.seas.upenn.edu/

We are seeking applications for postdoctoral fellows to join a new interdisciplinary project titled “Robust Concept Learning and Lifelong Adaptation Against Adversarial Attacks” at the University of Pennsylvania.

This project is to develop the foundations for robust and adaptive learning based on childhood development consisting of three research thrusts: (I) Concept-based Learning Robust to Adversarial Examples; (II) Adaptive Learning in Dynamic Environments; and (III) Verification and Monitoring of Learning.

Our approach will enable adaptive child-like learning that is robust to adversarial examples by utilizing concepts (e.g., prior models and shapes) inherent in the physical world, while simultaneously detecting and adapting to changes in the environment and concepts, such that robustness claims can be validated through a combination of offline verification and runtime monitoring.

Researchers with an interest and experience in any related areas are welcome to apply. Particular areas of interest include one or more of the following: machine learning, formal methods for machine learning, adversarial learning, computer vision, child development psychology, and tool development. Candidates are expected to have a strong background in one or more of the above areas.

Positions are offered for one year and can be extended based on mutual agreement (up to 3 years). Positions can start as soon as possible. A competitive salary will be offered.

Please email a complete CV including a research statement to any of the following team members:

Insup Lee ([email protected])

Osbert Bastani ([email protected])

Kostas Daniilidis ([email protected])

Edgar Dobriban ([email protected])

Eric Eaton ([email protected])

Dan Roth ([email protected])

James Weimer ([email protected])

Julia Parish-Morris (Children’s Hospital of Philadelphia, [email protected])

Edgar Dobriban Assistant Professor of Statistics & Computer and Information Science The Wharton School & SEAS, University of Pennsylvania statistics.wharton.upenn.edu/profile/dobriban

Job Description The Post-Doctoral Fellow will work on a program focus on functional recovery and mobility after neurological injuries using neuromodulation approaches. Knowledge in neuroscience and motor control, and experience in clinical intervention, neurostimulation measures (e.g., Transcranial Magnetic Stimulation, H-reflex), EMG analysis, kinematic analysis (e.g., motion capture, wearable sensors), and gait analysis, are preferred. This is an exciting opportunity to join a laboratory where clinicians and scientists collaborate to study clinical interventions to promote functional recovery.

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, & Commitment to Excellence) while fulfilling job duties.

Principal Responsibilities Designs, executes, and interprets research pertaining to neurostimulation interventions, including data collection, processing, and interpretation.

Assists with development of collaborative projects within and outside the Shirley Ryan AbilityLab and test ideas for new projects development.

Applies for fellowships and grants for external lab funding and career development.

Develops, submits and publishes the results of research projects in high quality journals and present data to public conferences/seminars when needed. Participates in weekly lab meetings, journal clubs, and seminars.

Builds and maintains a well-organized and accountable journal of own laboratory protocols, experiments, results and analyses.

Performs all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.

Reporting Relationships Reports directly to the assigned Principal Investigator

Working Conditions Normal office environment with little or no exposure to dust or extreme temperature

Knowledge, Skills & Abilities Required Requires the academic knowledge associated with a doctorate degree in Neuroscience, Human Physiology, Neurorehabilitation Movement science, Biomechanics, Kinesiology or Biomedical engineering, or a related field. Less than 4 years of postdoctoral training.

Prior research experience with human subjects using biomechanics, neurophysiological and/or neuroimaging methodologies and programming skills. A moderate level of independence, including the ability to mentor undergraduate and graduate students.

Able to work closely with patients, clinicians, and professional organizations. Excellent oral and written communication skills in English.

Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team.

Willingness to network within the organization and to independently strengthen/develop new external collaborations.

Able to timely plan and to coordinate project completions.

About Shirley Ryan AbilityLab Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you will be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions. You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

Shirley Ryan AbilityLab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

For additional information and to apply, please contact: Rebecca Macaluso Biomedical Engineer

Shirley Ryan AbilityLab [email protected]

The Visual Computing Lab of the Information Technologies Institute, which is part of the Centre for Research and Technology Hellas has an open position for a Research associate who will join the team of the H2020 project “RESCUER - First responder - centered support toolkit for operating in adverse and infrastructure-less Environments” https://www.certh.gr/3B5052C1.el.aspx

About us The Visual Computing Lab (VCL) consists of four 4 full-time senior researchers and more than 70 Postdoctoral Researchers and Research Associates with the mission of achieving and spreading scientific and technological excellence in the field of multimedia and vision systems. VCL enjoys a distinguished reputation for innovation, receiving direct funding from private, national and international companies and the EU.VCL team has participated in more than 70 European and National research projects.

Website: https://vcl.iti.gr/

The Project RESCUER aims to design and develop a First-Responder-centered technology toolkit that will empower the next-generation of First Responders (FR) by enhancing their operational capacity and safety, specifically in adverse conditions, both environmental and infrastructure-wise. Adopting the “HERO” (enHanced nEw eRa first respOnder) concept, RESCUER will deliver a toolkit offering (1) sense augmentation through enhanced sensorial input, (2) precise and infrastructure-less self positioning, (3) cognitive support and multi-sense AR interfaces, improving their focus and capability to utilise information and (4) robust ad-hoc intra-team communications for both verbal and data exchanges, all delivered over enhanced power and communication autonomy features.

Extending the above capabilities, through the concept of a building black box, RESCUER will also introduce the capability of extracting environment information “in situ and infrastructure-wise”, during a disaster. The project will achieve these goals using lightweight, non-obtrusive, and natural interaction with devices and sensors that offer additional information layers augmenting human sensing and operational capabilities, rendering FRs better aware of their surrounding conditions and able to make fast and efficient decisions to remain safe in the line of duty.

In this research context, we are looking for talented candidates to join our team as Research Associates.

Your tasks Design and development of technologies to support First Responders during crises management

Support collection and analysis of user requirements and specification of system architecture.

Design,develop and train machine learning algorithms for video and image denoising in adverse conditions (deraining/defogging)

Design and develop data fusion for self and victim positioning and orientation during crises

Develop augmented reality applications to increase operational capacity of First Responders and provide them better environment awareness

Required skills Bachelor’s degree in Computer Science or related technical field

Master’s degree in Computer Science or related technical field

Knowledge/Experience in developing machine learning / computer vision / graphics algorithms

Very good oral and written communication skills in English

Nice to have PhD in Computer Science or related technical field

Experience working in European Research Projects

Accepted scientific publications in Computer Vision / Machine learning or related technical fields

What we offer

Competitive salary package

Exposure to cutting-edge technologies

Very friendly and professional working environment

Further career development opportunities

The position will be open until 15-09-2021 at 16:00

Application details: https://www.certh.gr/3B5052C1.el.aspx

Paschalina Medentzidou Research Associate

Information Technologies Institute Centre for Research and Technology Hellas 1st Km Thermi-Panorama Road 57001 P.O. Box 60361, Thermi-Thessaloniki, Greece Tel : +30-2310-464160 (int. 119) Fax : +30-2310-464164 [email protected] - vcl.iti.gr