PhD position open at Université Côte d'Azur, CNRS, Inria, I3S, France, on natural language counter-argumentation against online
disinformation -- The context -- Online social media platforms try to limit the virality of disinformation propagated for example by content moderation. While these measures show some effectiveness in limiting the spread of misleading or false information, a big problem still remains unsolved: identifying disinformation and reporting its status to users is not enough to counter it.
The aim of the PhD programme is to address this urgent need by designing intelligent (semi-)automated ways to generate counter-arguments to combat the spread of disinformation online. The idea is to avoid the undesirable effects of content moderation, such as overblocking, when it comes to online disinformation, and directly intervene in the discussion (e.g. Twitter feeds) with text arguments intended to counter fake content as soon as possible and prevent it from spreading further. The idea is to get quality counter-arguments while reducing effort and supporting human fact checkers in their daily activities.
The thesis (3 years) is funded by the ANR ATTENTION project "Generating counter-arguments to fight against disinformation on the Web".
-- Research areas -- Artificial Intelligence, Natural Language Processing, Knowledge Representation and Reasoning, Machine Learning
-- Keywords -- Natural Language Processing, Fake News, Argument Mining, Counter-Argumentation, Natural
Language Generation -- Research Group -- WIMMICS ( http://wimmics.inria.fr/ ) is a research team from the Université Côte d'Azur (UCA), Inria, CNRS. The team's research areas are graphical representation of knowledge, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities.
-- Candidate Profile -- - Master in Artificial Intelligence, Data Science, Computer Science Computational science or linguistics is required.
- Programming skills are required.
- Knowledge of natural language processing and argumentation is preferred.
- Fluent English required, both orally and in writing. French is appreciated but not compulsory.
-- Application process -- Apply by sending an email directly to supervisors (Elena Cabrio [email protected] and Serena Villata [email protected]).
Application deadline: *** March 4, 2022 ***
The application must include: - Curriculum vitae.
- Cover letter.
- Academic transcripts of one or more master's degrees or equivalent.
- At least one letter of recommendation
Hello, One PhD position is available at Université de Lille (CIREL-Trigone) and University College London (UCL Knowledge Lab) on "Individual learner models in multimodal collaborative learning analytics".
Applications should be sent to the contact persons no later than may the 1st of April.
Detailed description of the PhD subject can be found in attachment.
This PHD thesis will be funded in the framework of the AI_PhD@Lille program (highly competitive salary and no teaching required).
Kind regards, Nour El Mawas -- Université de Lille
Profile of applicant A Master’s degree (or equivalent) in Computer Science, Computer Engineering, Cognitive Sciences or similar is required.
The candidate must have good skills in Data Science (Data Analysis, Data Mining, and Machine Learning). Experience in processing sensor data in Python and R are highly desirable.
Excellent writing, speaking, and reading skills in English.
The PhD candidate should be highly motivated to work independently, but also to collaborate with the team and stakeholders.
Existing publications in relevant conferences (i.e. AIED, LAK, ICML etc.) are desirable.
Information and Application The successful applicant(s) will work under the mentorship of Dr Nour El Mawas, Pr Jean Heutte and Dr Mutlu Cukurova and will also have an opportunity to spend time in the two research labs.
There is generous funding available to attend/present at international and local conferences every year.
Expressions of interest via email to [email protected], [email protected] and
[email protected] should include:
- A curriculum vitae
- A cover letter (in English) which explains your interest in the position and your qualifications;
- Academic records and degrees (incl. prizes, publications, participation in international programs
such as Erasmus, double or joint degree(s));
- A copy of your Master's thesis;
- Two or more recommendation letters;
The deadline for application is the 1st April 2022. The doctoral studies will start in September 2022.
Dear all, Are you passionate about computer vision and deep learning? Do you want to advance the state-of-the-art in computer vision for video recognition and understanding? We offer a fully-funded PhD position in Computer Vision with Deep Learning for Video Annotation and Understanding [Apologies for cross-posting].
Supervisors: Assistant Professor Dimitrios Papadopoulos, Assistant Professor Vicky Kalogeiton and Professor MSO Anders Bjorholm Dahl
Location: Technical University of Denmark (DTU), Copenhagen, Denmark and École Polytechnique, Paris, France
Duration and starting date: 3 years starting in spring/summer 2022 (or as soon as possible thereafter)
Application Deadline: 15 March 2022
For details, please see: PhD scholarship in Computer Vision with Deep Learning for Video Annotation and Understanding
Please contact Assistant Professor Dimitrios Papadopoulos at [email protected] for more details.
Best regards, Dimitrios Papadopoulos
Dimitrios Papadopoulos Assistant Professor (tenure track) [email protected]
Richard Petersens Plads, Building 324 2800 Kgs. Lyngby, Copenhagen, Denmark http://people.csail.mit.edu/dimpapa/
Dear CVML Members, I am writing to announce 2 fully-funded rare 3-year positions in 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 at the University of Leeds.
If you are passionate about Autonomous Vehicles, Computer Vision, and ML and would you like to work on a €60 Million flagship project in one of the World's Top 100 Universities, we have 𝘁𝘄𝗼 fully-funded PhD and PostDoc positions for you:
• A 3-Year PostDoc (Research Fellow) Position in Computer Vision and Vehicle Automation https://lnkd.in/dBXcX7pr
⏳ Deadline: 𝟮𝟱 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝟮𝟮
• A 3-Year PhD Position (Competitive Funded):
The Aggregation of Digital Twin Technology and Multi-sensor Fusion in Highly Automated Vehicles https://lnkd.in/dE4ckc7q
⏳ Deadline: 𝟮𝟱 𝗙𝗲𝗯 𝟮𝟬𝟮𝟮
Feel free to get in touch if you have already read the provided information in the above links and still need more information: [email protected]
https://environment.leeds.ac. uk/transport/staff/9408/dr-mahdi-rezaei
Both positions are open to all nations.
A public selection procedure is called, based on qualifications and interview, for the assignment of n. 1 research fellowship grant for collaboration in research activities.
Title of the research: Design and implementation of techniques for automatic 360-degree video analysis and processing
Description: The research activities will aim to use/devise innovative techniques of image processing and computer vision for the design, implementation and validation of 360-degree video analysis tools. Of particular interest will be the techniques concerning the re-identification and tracking of people to model their interests, behaviors and reactions to the suggestions provided by a recommendation system.
Supervisors: Prof. Liliana Lo Presti and Prof. Marco La Cascia
Duration: 12 months
The total gross amount for 12 months is equal to € 26.525,00 including the charges borne by the Administration and will be paid to the beneficiary in deferred monthly instalments.
General admission requirements: - Italian Master‘s Degree, of a single-cycle Degree or equivalent qualifications issued by foreign countries
- a professional scientific curriculum suitable for carrying out research activities in computer vision
Citizens of EU Member States and non-EU countries must also possess the following requisites:
- enjoy full civil and political rights in the states of belonging or provenance;
- be in possession, with the exception of the ownership of Italian citizenship, of all other requisites envisaged for Italian citizens;
- have a working knowledge of the English language
Application and deadline: - The application for admission to the selection procedure, drawn up in free paper according to the form attached, must be sent electronically (please, see attached files) with the candidate's CV and publications (scientific articles).
- For the participation in the competition candidates are required, under penalty of exclusion, to pay within the deadline for submission of the application, a contribution for organizational costs in the amount of € 50.00.
- Deadline: 27 February 2022
Link: https://titulus-unipa.cineca. it/albo/viewer?view=files%2F004435328-UNPACLE-55466aa9-badc-4d1d-8803-69bd62c6d0b7-001.pdf
Link Form: https://www.unipa.it/amministrazione/direzionegenerale/serviziospecialericercadiateneo/u.o.assegnidiricerca/. content/documenti/2021/application-form-and-annex_--nuovo.dochttps://www.unipa.it/amministrazione/direzionegenerale/serviziospecialericercadiateneo/u.o.assegnidiricerca/. content/documenti/2021/application-form-and-annex_--nuovo.doc
Body: Research Engineer
Quota: 100%
Desired start date: 05/01/2022
Position open to: CDD contract workers ❑ CDI contract workers ❑ Permanent staff (civil servants)
Duration of the contract (if open to contract workers): 13 months
Assignment of the post Geographical location
SMAC team
Computer Science Research Institute of Toulouse
University of Toulouse III – Paul Sabatier 118 route de Narbonne 31062 Toulouse Cedex 09
For more information on the position, do not hesitate to contact Mrs. Marie-Pierre Gleizes: Marie- [email protected])
Salary: civil service salary grid (2038€ gross per month for a beginner IR)
Sending applications
CV and cover letter to be sent to the following address:
Thesis topics (see links below):
1. Simulation of logistic patterns in circular economy models with multi-agent systems
Keywords : Multi-agent systems, Circular economy
Subject: https://euraxess.ec.europa.eu/ jobs/717587
Applications: CV and cover letter to Mahdi Zargayouna [email protected], Corinne Blanquart [email protected] and Vincent Loubière [email protected]
Eligibility: have not spent more than 12 months in France in the last 4 years
2. Toward collaborative transportation for freight and passenger in a cyber-physical system
Keywords : Transport, Mobility, Freight, Optimization
Subject: https://euraxess.ec.europa.eu/ jobs/717591
Applications: CV and cover letter to Mahdi Zargayouna [email protected], and Sana Berraf [email protected]
Eligibility: have not spent more than 12 months in France in the last 4 years
3. Hybrid data-driven and model-oriented modelling for the evaluation of shared mobility systems
Keywords : Transport, Mobility, Optimization, Simulation
Subject: https://www.ifsttar.fr/ offres-theses/subject.php?num=3137&num_session=1
Applications: CV and cover letter to Mostafa Ameli [email protected], Mahdi Zargayouna [email protected] and Latifa Oukhellou [email protected]
4. Machine learning of multimodal travel time functions for multi-agent modeling of an urban transport system
Keywords : Transport, Mobility, Learning, Simulation
Subject: https://www.ifsttar.fr/offres-theses/subject.php?num=2440&num_session=1
Applications: CV and cover letter to Ludovic Leclercq [email protected] and Mahdi Zargayouna [email protected]
Application deadline: March 15, 2022
Desired start date: early October 2022
Hello, Neolink (https://www.neolink.link/), a subsidiary of the Berger-Levrault group (https://www.berger-levrault.c om/fr/) is looking for a doctor in computer science with an IA/NLP specialty.
The ambition is not only to develop new research issues but also to support the transfer of all the initiatives that are made in terms of research and innovation at Berger-Levrault to neolink's activities.
The position is ideally in Blois close to our existing academic partnerships with the University of Tours. It is a permanent contract, recruitment as soon as possible.
To apply: https://recrute.berger-levraul t.com/offre-de-emploi/emploi-jeune-docteur-machine-learning-natural-language-processing_1444.aspx
Christophe Bortolaso
The School of Engineering, Computing, and Mathematics (SECaM), at the University of Plymouth has a unique opportunity for an outstanding academic and their team to join the School and strengthen our research, leadership, and collaboration in Artificial Intelligence. This is an opportunity to establish senior academic direction and growth in this core area of Artificial Intelligence and to build on multi-disciplinary collaboration, supporting the School’s strategic objectives to create a critical mass of expertise in the area of Artificial Intelligence aligning directly with Industry 4.0 and future national and international research opportunities and skills development needs.
You will work together with colleagues to create a vision for our existing Centre for Robotics and Neural Systems (CRNS), which builds on the world-leading and international excellence performance in the field of computer science, social and cognitive robotics, neural computation, and others. You will join a community of over 100 staff and 2000 students who work alongside one another in world-leading facilities. This synergistic mix of academic disciplines has research strength aligned with challenges of the fourth Industrial Revolution, clean growth, digitalization, autonomy, and health technology, helping to develop pioneering, innovative solutions to real-world problems that have a genuinely positive impact upon society. The deadline is 25th February.
For more information and to apply, please visit: https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=121682Kdw9&WVID=1602750fTZ&LANG=USA
Regards ---------------- Dr. Amir Aly
Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK
In the framework of the funded ANR DELTWINCO project, the CRIStAL Laboratory in Lille recruits a PhD student in AI with applications to renewable power systems (knowledge of power systems is not required):
Deep Learning-Based digital twin for power electronics converters
1. Thesis positioning, objectives and challenges The thesis is funded in the framework of the French National Research Agency (ANR) under the Acronym DELTWINCO, standing for Deep Learning Digital Twin for Power Converters. The project is related to the development of Renewable Energies and their introduction in a power grid. New equipments (e.g. wind turbines) are connected to the grid by power electronics devices known as power converters. The penetration rate of these power converters is a challenge to the Power network managers as there is a risk of stability, hence the dynamical behavior should be checked online.
The main aim of the project DELTWINCO is to develop a digital twin based on Artificial Intelligence methodology in order to achieve the control of performance of these converters.
Since the application of artificial intelligence has never been implemented for this control of performance, several fundamental breakthroughs have to be achieved [1,2].
2. Main research steps - Identification of the Digital twin for a single converter : In a first step, the digital twin will be developed by using data extracted from an offline existing simulated model of the converter. Also, the nonlinear behavior (different operating mode) will have to be taken into account. One can think of recurrent autoencoders [3].
- Relation between the digital twin of a converter and the control of its performance. Assuming that the digital twin has been designed, it will then be used to control the dynamic behavior of a converter in operation. The digital twin will have to warn when the measured dynamic behavior will diverge too much from the expected one. A methodology has to be developed in order to quantify precisely when the divergence between both behaviors is considered as acceptable or not.
- Design a digital twin for the modelling of several power electronic converters connected to the same node of the grid The two first steps will consider a single converter. However, in case of wind farm or Photovoltaic Power plant, a lot of converters can be used in parallel and connected to the same point of common connection on the transmission grid. Another level of Digital Twin will be developed in order to propose an aggregate model of this complex system. One thinks for example of Graph Networks which are a specific form of neural networks based on graphs that allow to capture the dynamic behavior of a complex system, and the operation of interacting components [4,5]
3. Supervision and Team work The PhD student will be supervised by Jean-Yves Dieulot, Associate Professor at the University of Lille (CRIStAL Lab), and Professor Pascal Yim, Professor at Ecole Centrale de Lille, specialists in Control, Artificial Intelligence and Deep Learning. The consortium also members of L2EP, Power Electronics Laboratory in Lille (Professor Xavier Guillaud, project leader, Dr. A. Bruyère, Dr. F. Colas) who are specialists of Power Networks. A well-known Power Lab from Denmark also participate. Finally, a post-doc will be hired for all power electronics and real-time validation aspects of the algorithms found by the PhD student.
The main role of the PhD student is to develop deep-learning algorithms tailored to the design of the digital twin. The student should have very good skills in learning algorithms, neural networks and be easy with programming with Python and or Matlab.
Contact : Jean-Yves Dieulot [email protected]
French-speaking freelance linguistic annotator*
Company ======= Weborama specializes in exploiting qualified behavioural data and big data technologies for businesses marketing strategies.
The company owns and exploits its own database, populated with 1,3 billion of user profiles categorized with a semantic approach (NLP pipeline).
Main goal ===== Linguistic resources adaptation to different subjects and languages. Review of linguistic material.
Description ========= 3 major objectives :
- Maintain and sustain a French (and possibly other languages if you’re polyglot and interested) lexical database by suggesting pertinent entries (in their canonical form) in relation to a specific task/theme, correcting or deleting false or obsolete data.
- Review collaborators and clients suggestions with a critical mindset: validate, correct or invalidate those suggestions.
- Select unambiguous vocabulary in order to populate thematic taxonomies used to qualify user profiles based on Weborama’s and Weborama’s clients’ needs.
Required skills ================== - French as mother tongue
- Bilingual in English would be a plus
- Good linguistic fundamentals (semantic and lexicology) are appreciated
- Solid knowledge of French culture, day-to-day life, history and folklore
- At ease with online tech and tools
- Autonomy, curiosity and common sense
- Knowledge about databases and NLP is a plus
Ponctual missions for freelancers. Working hours at your convenience. Hourly rate to discuss. Perfectly adapted for students
The company is located at Levallois-Perret, near Paris, France but full remote is usually how we work and 100% suitable for the tasks.
Send your application to: [email protected]
*English-speaking freelance linguistic annotator*
Weborama specializes in exploiting qualified behavioural data and big data technologies for businesses marketing strategies.
The company owns and exploits its own database, populated with 1,3 billion of user profiles categorized with a semantic approach (NLP pipeline).
Linguistic resources adaptation to different subjects and languages. Review of linguistic material.
3 major objectives : - Maintain and sustain an English (and possibly other languages if you’re polyglot and interested) lexical database by suggesting pertinent entries (in their canonical form) in relation to a specific task/theme, correcting or deleting false or obsolete data.
- Review collaborators and clients suggestions with a critical mindset: validate, correct or invalidate those suggestions.
- Select unambiguous vocabulary in order to populate thematic taxonomies used to qualify user profiles based on Weborama’s and Weborama’s clients’ needs.
Required skills ================== - English as mother tongue
- Bilingual in French would be a plus
- Good linguistic fundamentals (semantic and lexicology) are appreciated
- Solid knowledge of either USA or UK culture, day-to-day life, history and folklore
- At ease with online tech and tools
- Autonomy, curiosity and common sense
- Knowledge about databases and NLP is a plus
Functioning
Ponctual missions for freelancers. Working hours at your convenience.
Hourly rate to discuss.
Perfectly adapted for students
Location
The company is located at Levallois-Perret, near Paris, France but full remote is usually how we work and 100% suitable for the tasks.
I want in!
Send your application to: [email protected]
Hello, The chat and social networks pole of the national suicide prevention number, 3114, is looking to recruit one. project manager as soon as possible.
The job description is available at: https://www.linkedin.com/feed/ update/urn:li:activity:6900077 814079385600/
Please forward to those interested.
Sincerely Jérôme Azé