Job offer (15-month fixed-term contract): big data & web mining development engineer at the University of Grenoble Alpes in the CNRS COPERNIC prematuration project.
CV + cover letter to be sent to: [email protected]
Hello A position of lecturer in the field of image / artificial intelligence for health will be opened at the University of Reims Champagne-Ardenne as part of the 2022 synchronized competition campaign.
The integration will be done within the CReSTIC(https://crestic.univ-reims.fr)for research, and the IUT of Reims (Computer Science Department) for teaching.
Keywords: image analysis; machine learning; data analysis; 3D imaging; biological data.
The CReSTIC develops research activities in computer science related to medical issues. In particular, CReSTIC collaborates with several departments within hospital structures (nuclear medicine, radiology, neonatology, endocrinology, etc.) as well as major players in the industrial world (construction of imagers, development of free software, etc.), and strives to develop digital methods and tools dedicated to the extraction of information from medical data (3D imaging, electrophysiological signals, biological data, patient journey...).
The recruited candidate will reinforce the teams and researchers working on these activities.
He/she will interact with medical actors, as well as researchers and teacher-researchers in computer science but also from disciplines related to these fields (mathematics, biology ...). He/she will be required to quickly take charge of thesis / internship supervision, and to develop new collaborative activities through academic and/or industrial structuring projects (ANR, Cifre, etc.).
The skills expected of the candidate relate to image (analysis, processing), artificial intelligence (machine learning, data analysis, etc.) and the application of these fields in a medical context.
If you would like further information please contact:
- for the research component: Nicolas Passat (Deputy Director of the CReSTIC): [email protected]
- for the teaching component: Jean-Michel Nourrit (Head of the Computer Science Department of the IUT of Reims): [email protected]
Kind regards N. Past
Nicolas Passat Professeur en Informatique
Université de Reims Champagne-Ardenne [email protected]
Job positions in Institute of Information Systems (IFIS) at University of Lübeck
The University of Lübeck is known for its excellent research and excellent teaching. We are a modern foundation university with thematically focused courses. Under the motto "Focus on life", we as a life science university offer a spectrum from medicine, health sciences and psychology to mathematics, computer science, natural sciences and technology.
The Institute of Information Systems (IFIS) is concerned with the representation, storage, and retrieval of any kind of data for building information systems. Its research focus includes (but is not limited to) knowledge graphs and utilizing emergent technologies for data management.
We have several job positions in exciting research projects to be filled as soon as possible. The submission deadline for your applications is the 31st January 2022.
Please apply if you want to work on emergent technologies and topics in an excellent team.
1 X PhD student (full-time, 36 months, DFG) in the area of COVID-19 Knowledge Graphs:
The position is part of a joint research project with the Université de Paris (with a focus on data quality) and Université Paul Sabatier (in Toulouse with a focus on natural language processing). The employee at the University of Lübeck will mainly deal with knowledge graphs, data analysis and visualizations.
Our project is concerned with generating high-quality knowledge graphs for emerging English, French and German trends using the example of the COVID-19 pandemic. The aim is to get a general overview of the trends in how facts develop across time and languages, and to carry out a high-quality assessment of these facts in enriched knowledge graphs to support further analysis with meaningful visualizations.
More information about the job and application procedure: https://www.uni-luebeck.de/fileadmin/uzl_personal/stellenausschreibungen/1003_22_-_Wiss._MA_IFIS_QualityOnt__English_. pdf
Hello, I am republishing this offer which is still relevant.
All the information for this position is available here: https://bit.ly/3osCCxN
Thank you!
Context The TED-i plan of the Ministry of National Education, Youth and Sports, aims to deploy 4000 telepresence robots on French territory, for pupils and students (primary, secondary, higher) prevented, that is to say long away from their school for medical reasons.
The LIUPPA research laboratory of the University of Pau and Pays de l'Adour (UPPA) was mandated (TELESCOL project) to monitor and evaluate this deployment, based on four pilot academies: Bordeaux, Potiers, Limoges and Nantes. The question then arises of the management and processing of its data, on a dedicated platform. More generally, LIUPPA wishes to improve the valuation and visibility of the platforms and proteins it develops.
The person recruited will be located on the Mont de Marsan site of the UPPA, under the responsibility of the project leader.
Job Title
Design Engineer
Level of qualification required
Engineer
Profile sought - The person recruited must have strong computer skills. More specifically, a data processing oriented profile (data analysis) is expected. In addition, data collection tools and dashboards will have to be made and put into production
- She must have strong project management skills, and must demonstrate autonomy.
- She must have good interpersonal skills, a spirit of synthesis and openness.
- Driving license B required.
Main missions - co-management and co-organization of the project with the TELESCOL project leader
- participation in the definition of the indicators to be collected to evaluate the TED-i plan
- the creation of harvesting tools and associated dashboards
- the regular collection of these indicators
- conducting qualitative surveys (interviews) with various project stakeholders when necessary
- the realization of the deliverables of the project (reports, financial statements, participation in research articles, ...)
Relational field of the position
The person recruited will be attached to the LIUPPA laboratory of the UPPA. It will be under the responsibility of Laurent GALLON, leader of the TELESCOL project. She will also be in contact with the various actors of the TELESCOL project and the members of LIUPPA
Candidacy Please send your application (CV + cover letter) specifying the IG-TELESCOL reference
Duration of the contract: 18 months
Application deadline: 03/01/2022
Status: Executive
Expected start date: 15-01-2022
Type of employment: Full-time, fixed-term contract
Salary: 2100€ gross/month
Contact : Laurent Gallon : [email protected] —
2-years Postdoctoral Research position at MISTEA INRAE Montpellier (https://www.inrae.fr/en/centres/occitanie-montpellier) in the context of the ANR projet DACE-DL
Areas: Semantic Web, Linked Data, Data linking
Qualifications: PhD in the domain of Semantic Web
Contact & Collaboration:
Danai Symeonidou, CR INRAE Montpellier, [email protected]
Clement Jonquet, CR (HDR) INRAE Montpellier, [email protected]
Institut: INRAE is a pioneer in France in terms of data sharing and Open Science commitment. The MathNum research department gathers around 200 scientists in mathematics and digital technologies in 13 research units in France. MISTEA is a joint research unit of INRAE and Montpellier Institut Agro engineering school with activities in the development of mathematical, statistical and informatics methods dedicated to analysis and decision support for agronomy and environment. The team is also recognized for its expertise in knowledge engineering and ontology-based scientific data management and information systems.
Project context: Data linking is the scientific challenge of automatically establishing typed links between the entities of two or more structured datasets. A variety of complex data linking systems exists, evaluated on public benchmarks [1,2,3]. While they have allowed for the generation of vast amounts of linked data in the context of various dedicated projects, data generic systems often have limited applicability in many real-world scenarios, where data are highly heterogeneous and domain-specific. The ANR project DACE-DL (2022-2024) targets a paradigm shift in the data linking field with a data-centric bottom-up methodology relying on machine learning and representation learning models. We hypothesize there exists a finite number of identifiable and generalisable linking problem types (LPTs), that we need to categorize and analyse to provide better linking results.
Topic: The main goal is to identify and provide a categorisation/taxonomy of the different linking problem types based on an in-depth analysis of the linked datasets provided by the project and beyond.
The first objective is to provide an in-depth analysis of the linked data available along with an exhaustive study of the state-of-the-art in the field of data linking. The postdoctoral researcher will propose a finite number of generalisable linking problem types, organised in a taxonomy encoded with OWL or SKOS, where the relations and inherent structure of the LPTs will be made explicit to both human and machine.
Additionally, a (semi-)automatic taxonomy building methodology that will be easily reproducible and extensible in the future for other pairs of datasets should be built. The goal is to answer questions such as: are certain LPTs or groups of LPTs (e.g. siblings at a given level of the taxonomy) specific to a domain, language or a community?
Are certain LPTs inherent to specific types of data? Once a clear and unambiguous taxonomy of LPTs is produced, various datasets will be manually annotated. These annotations on existing pairs of datasets will be used to learn, using machine learning strategies, features for the automatic categorization of other datasets.
Starting period: Early 2022
Duration: 24 months
Location: INRAE Centre Occitanie-Montpellier, MISTEA, 2 Place Pierre Viala, 34000 Montpellier
Salary: Between 2200€ and 2700€ gross monthly depending on qualifications and situation.
Application: To apply for the position send an email to the contact emails ([email protected] and [email protected]):
a short description of introducing yourself your adequacy to the position
a CV and
one major publication
The offer is also available here: https://docs.google.com/document/d/e/2PACX-1vTNvOng07Crjvwy7GbB8vKo6DhBYk0fMO3OAbQcg7pKJNxQBPE2dTKfMICX95Syyy9xLntWnIalVcJy/pub
Partitioning under similarity constraint Application to the classification of consumption and production nodes of an electricity distribution network
Funding: LabCom @LIENOR and Nouvelle-Aquitaine Region
Laboratory: Laboratory of Computer Science and Automation for Systems (LIAS)
Location: Chasseneuil-du-Poitou
Start date: February 2022
Net monthly salary: 1794 euros
Supervising team: Mickael BARON and Brice CHARDIN
(The supervisor whose name is underlined is the referent supervisor, contact: [email protected])
Candidate profile The candidate must have a master's degree in computer science or an engineering degree and have knowledge of software development, information systems, statistics and data analysis.
A good level in French and English is necessary. Documents to provide :
- Curriculum vitae ;
- cover letter ;
— master's or equivalent notes;
— any other document deemed necessary by the candidate that could enrich the application file didature.
Hi all As part of the research program COSY_Learning deployed by the IUT of Bayonne and the computer laboratory of the UPPA, we recruit 1 engineer over a period of one year and also offer 2 paid internships of Master 2 or engineering school in computer science (duration = 4 to 6 months).
These positions positioned in the premises of the IUT of Bayonne in Anglet are to be filled immediately and the recruitment is done over the water from this day.
The profile of the engineer position is specified in the attached document. The Master's/Engineering School trainees recruited will be positioned on a sub-project of the same research program. Also, the technical skills expected of Candidates for a Master are identical to those specified in the attached document for the position of Engineer. Two axes are privileged for these Master's / engineering school internships:
1- Development of a plugin and an editor to tag Moodle resources or activities offered to a student. The resources and activities to be tagged will fall within the field of computer programming and coding.
2- Storage and excavation of traces previously collected on a student in a situation of "computer programming and coding" activity. Benchmarking of NoSQL solutions that can be integrated into the architecture currently deployed at the IUT.
Master internships can be carried out (in part) remotely.
The supervision of the engineer and the 2 trainees is operated by a team of researchers made up of 5 teacher-researchers (including the project leader), 1 postdoctoral fellow, 1 pedagogical engineer and 2 computer engineers.
Applications (CV and cover letter) and requests for additional information should be sent to: thierry.nodenot@iutbayonne. univ-pau.fr:
- For the position of engineer, mentioning in the subject ofthe message: Offer-emploi_IngeALTERnCO_ 2022.
- For Master's or engineering school internships, mentioning in the subject of the message: InternshipResearch _ALTERnCO_2022.
Do not hesitate to contact before applying if necessary, for any question contact T. Nodenot by answering this email.
Be careful, recruitments are done over the water and stop as soon as we have validated an application. Upon receipt of your CVs and cover letters, we will study them and contact you again for an interview if your profile matches.
T. Nodenot
we are launching a project dedicated to the evaluation of complex systems cybersecurity in realistic environments.
The CERES project is funded by the Defence Innovation Agency (French Armies Ministry), and thus, applications from European citizens are favoured.
We are offering several grants for Master thesis internships (pre-doctoral) and postdoctoral studies (more details at http://www-public.telecom-sudp aris.eu/~blanc_gr/jobs.html )
one postdoctoral grant (18 months) on the topic of "Simulation/co-simulation/emul ation to model systems and threats"
one Master thesis internship on the topic of "Security Modelling and Assessment" - one Master thesis internship on the topic of "Digital Twin for Securing Building Management Systems"
Prospective candidates are invited to follow the instructions detailed at the above link.
At least, we would be grateful if you could circulate the offers to potential candidates.
These offers are to be filled as soon as possible.
A professorship will be opened in 2022 at Sorbonne University, Paris.
The position is open to all areas of AI and its applications. The successful candidate will join one of the laboratories: ISIR, LIB, LIMICS or LIP6 depending on their research themes, and/or projects involving several host laboratories within SCAI (Sorbonne Center for Artificial Intelligence).
* Research theme: With regard to LIMICS, which is one of the target laboratories of this position, the main research themes are the learning and analysis of health data, whether they come from data warehouses, local databases or patients themselves.
The professor should be able to coordinate national and international collaborative programs.
The candidate's participation in the past in multidisciplinary projects will be appreciated.
More generally, the Laboratory of Medical Informatics and Knowledge Engineering in e-Health (www.limics.fr) is an interdisciplinary unit made up of INSERM researchers, teacher-researchers in computer science and hospital-university doctors and pharmacists.
In addition, for part of its activities, the laboratory works closely with the two health data warehouses of rouen University Hospital and APHP, with an interest in approaches combining structured data, unstructured data (in particular, textual) and external resources (knowledge bases, terminologies), with the aim of better representation of patients in characterization (phenotyping), prediction or decision support tasks.
* Pedagogical objectives: The person recruited will intervene in a balanced way on the different levels of training, from L1 to M2.
It will contribute significantly to the teaching of Bachelor of Computer Science whose needs cover the entire discipline (algorithmics, programming (including object, competitor, functional, web), discrete mathematics, data structures, system, architecture, networks, compilation, databases ...).
As for the teaching in Master of Computer Science, different needs will be covered depending on the recruited profile of application.
Several courses are concerned: - ANDROIDE course: interpretable decision models, learning and decision-making in uncertain environments, modeling and analysis of collective behaviors.
- BIM path: machine and deep learning, data science and integration of biological and biomedical data in the field of bioinformatics.
- DAC path: management of big data and advanced analysis and learning models and algorithms (machine learning, distributed learning, computational intelligence).
The person recruited will have to take on responsibilities, particularly in the L1-intensive UEs, in particular with regard to data science.
* Research contacts: www.limics.fr Marie-Christine.jaulent@inserm .fr (DR Inserm, director of LIMICS) Teaching: - Bachelor's degree: [email protected] Bachelor's degree in Computer Science |
Sorbonne University(sorbonne-universite.fr)
- Master: [email protected]
Master in Computer Science | Sorbonne University (sorbonne-universite.fr
QARE Ltd. (https://www.qare.fr/), and the CNRS research laboratories CERMES3 (https://www.cermes3.cnrs.fr/) and GREYC (https://www.greyc.fr/) invite applications for a fully funded three-year PhD position in Dynamic Machine Learning Models for Mental Health.
The successful candidate must hold a Master degree or equivalent in Data Science, Applied Mathematics or Computer Science.
A strong background in (statistical, deep) machine learning is required and knowledge in natural language processing would be appreciated.
The thesis will mainly hold in Paris in a French speaking environment at QARE Ltd.
If you are interested by this position, please send the following information to Fanny Jacq ([email protected]), Xavier Briffault ([email protected]) and Gaël Dias ([email protected]):
- Detailed CV
- Transcripts of Bsc. and Msc. degrees
- Recommendation letters (up to 3)
Applications will be studied until the position is fullfilled or before 31st March 2022.
For more information, you can directly contact Gaël Dias ([email protected]).
Best regards, Gaël Dias.
Keywords: drone swarm, IDS, performance, energy, operational research
Starting date: as soon as possible
Duration: 1 to 3 years
Scientific partners: - University of Western Brittany, France
- FORTH Heraklion, Greece
- Naval Group, France
Summary of the project: The distributed operation of drone swarms on mission makes them susceptible to various attacks that should be detected. These drones embed hardware components (computation and storage) that are heterogeneous for both computing power and energy consumption. They perform the various tasks necessary for dorone mission.
The objective of the project is to propose a model and strategies for the execution of intrusion detection systems embedded on heterogeneous architectures and which provide a relevant trade off for speed detection / energy consumption, according to the criticality of the attack and the state of the system.
Required skills: The required skills can be a subset of the following topics: - embedded systems and drones
- Software security
- Networks
- Memory management
- Energy management
- Operational research
How to apply: Please, send: - A full detailled CV including a complete list of publications
- A motivation letter
- recommendation letters
- Any document that could justify the quality of the application
to: [email protected] and [email protected]
Dear all, We offer two internship opportunities in topics related to IoT and smart spaces. These positions are for students of Master 2 or for last-year students of an Engineering school.
You can find the related internship descriptions in the following links: - Position 1: https://gbouloukakis.com/files/jobs/planmosquitto.pdf
- Position 2: https://gbouloukakis.com/files/jobs/smartmtb-seido.pdf -- in collaboration with EDF R&D
To apply, you can send me an email by providing the following documents: - CV
- Motivation letter
- Transcripts of the last 3 years
- A course report or article written in English (if any)
Best regards, Georgios Bouloukakis
Post-Doctorate Offer GUEVARA: Visual Guides for Learning in Augmented Reality
Research team: IMT Atlantique Brest, Computer Science Department (INFO), INUIT research team
Funding: 24 months (start before January 2023)
Keywords: Augmented reality, human-computer interfaces, perception, cognitive psychology, ergonomics
Contact: Etienne Peillard ([email protected])
Job description The INUIT team (IMT Atlantique) is looking for a highly qualified young researcher with experience and motivation in the field of Augmented Reality (AR). This position is open by IMT Atlantique Brest (France).
The GUEVARA project aims at proposing visualization techniques for mixed reality adapted to spatially complex learning tasks, and in particular at exploring and proposing methods of representation and guidance with objects outside the user's field of view in AR.
How to apply Applicants should send their complete application by e-mail to project leader, including:
• A motivation letter.
• Complete CV with list of publications.
• PDF of a representative article (or slide show) by the candidate related to this project.
• Letters of recommendation (preferably sent directly from the mentor).
Hello A position of Senior Lecturer (sections 26-27)will be open to the 2022 competition at theUniversity Paul Valéry Montpellier 3 on the theme"Data sciences, MIASHS sector and transversal teachings".
Host Department: The Department of Mathematics, Applied Computer Science (MIAp) offers a MIASHS course for students wishing to combine the study of mathematics, statistics and computer science with that of a discipline in SHS.
The department is also in charge of courses in computer science, mathematics and statistics transversal to several licenses (training ranging from basics of use to more professional skills). He is also involved in specific courses for certain bachelor's and master's degree courses at our LLASHS university (Letters, Languages, Arts, Humanities and Social Sciences).
Pedagogical expectations and collective charges: The expected skills are mainly directed towards teaching in the MIASHS stream, in particular towards the specific master's modules concerning data science. Le.la candidate will have to have a strong competence in this field both on the applications and on the formalization and design of these methods. At the heart of the MIASHS sector, it is hoped du.de the future colleague that he/she can nurture and support an interaction between computer science and the applied mathematics of the department.
Le.la candidate will also be involved, to a large extent, in transversal teaching, since these teachings represent a large volume for the department. He/she will also ensure the organizational and pedagogical frameworks related to them. It is expected that the recruited person will be able to initiate new collaborations with other sectors of the institution interested in putting data science into practice. Some teachings are likely to take place on the Béziers site.
Particular attention will be paid to candidat.es with a project that complements the skills of the members of the department. Any experience in digital humanities and SHS data processing will be a plus.
Le.la candidate will take part in the development of the MIASHS sector, which requires special involvement in contacts with companies, the follow-up of internships and various professional and apprenticeship contracts.
Research: Le.la candidate recruited will have to integrate one of the research teams of IMAG, LIRMM or TETIS in a research activity in data sciences. He/she will be part of the AMIS group of the Université Paul Valéry composed of the teacher-researchers of the MIAp department.
IMAG(https://imag.edu. umontpellier.fr/) brings together a hundred chercheur.es permanent.es andabout forty doctorant.es divided into four teams according to the following themes: "Geometry, Topology and Algebra, Analysis", "Industrial Scientific Computing and Optimization", "Probability and Statistics", "Didactics and Epistemology of Mathematics".
The institute brings together most of the region's mathematical research players, and the "Probability and Statistics" team demonstrates recognized skills in many areas of statistical modeling, with a wide spectrum of applications: biology, health, environment, agronomy... The "Probabilities and Statistics" team wishes to strengthen its activity in data science, particularly in statistical learning and modeling with dimension reduction.
The IT department of the LIRMM(http://www.lirmm.fr/xml/fr/0014-28.html)consists of 15 research teams. The department's teams cover a very wide spectrum of computer science research. Theoretically, they address the fundamentals of computation, data science and artificial intelligence, bioinformatics, image analysis and software engineering.
Several applications are preferred including biology and life sciences, health, agriculture, ecology and biodiversity, but also the humanities and social sciences. The person recruited will strengthen one of the teams of the department in data science and artificial intelligence and consolidate existing research themes. The teams concerned are: Advanse, Coconut, Web3, GraphiK, Icar, Mab, Smile, Text, Zenith.
The UMR TETIS (Territories, Environment, Remote Sensing and Spatial Information)(https://www.umr-tetis.fr)is specialized in the production and dissemination of knowledge, concepts, methods and tools to characterize and understand the dynamics of rural spaces and territories with a focus on the spatial information of these systems.
The laboratory is organized according to 3 research teams that develop methodological and thematic research in an integrated approach to the spatial information chain. The recruited person will contribute to the work carried out at TETIS by considering the variety of data (multi-source, multi-scale, multi-modal, etc.) through the prism of the spatio-temporal and thematic information they convey.
In this context, new methods of data mining and machine learning (for example, spatial, temporal or thematic learning transfer) applied to these heterogeneous data (satellite images, textual data, etc.) will be proposed to meet major societal challenges in a multidisciplinary context (Digital Humanities, One Health, etc.).
Contacts : Contact CoSe : Sandra BRINGAY [email protected]
Contact MIAp department: Catherine TROTTIER [email protected]