Subject: With the increasing autonomy of land, air or sea robots, robot fleets are now used for many types of mission.
This is for example the case of the delivery of parcels, flying taxis, exploration of areas, rescue missions or intervention at disaster sites.
Some of these applications require fleets of heterogeneous robots, ie which have different capacities, eg to detect, communicate, observe, move, etc.
In this thesis, we wish to address the constraints and criteria of performance and robustness from the configuration phase of the fleet, and this in cases where the configuration is complex.
Specifically, given one or more mission types for the fleet with target performance and robustness and associated robot capabilities, a set of possible equipment with their compatibility constraints, and the relationships between equipment and robot capabilities, we seek to define the number of robots making up the fleet and the configuration of each robot so as to achieve the desired performance and robustness objectives.
The problem then consists in exploring the space of configurations while being guided by the evaluation of performance and robustness. More details here:
https://w3.onera.fr/formationparlarecherche/sites/w3.onera.fr.formationparlarecherche/files/tis-dtis-2023-30.pdf
Management team: Stephanie Roussel (ONERA) , Gauthier Picard (ONERA) And Elise Vareilles (ISAE SUPAERO)
Possibility of M2 internship (6 months) upstream at ISAE SUPAERO
Konverso is a platform publisher in the field of Conversational AI . The core technology of the platform combines NLP, Machine Learning, Search and Automation Engine.
We came out of Microsoft's AI Startup program in 2017. Our conversational platform identified in analyst
reports (Forrester, Everest Group) allows our customers to deploy multiple use cases
: Virtual Agent, Intelligent Triage, Augmented Agent, Sentiment Analysis.
Our clients include major French brands such as Air Liquide, VEOLIA, Colas, Alten, European startups such as Volumio, Equalum.
We are also experiencing strong international growth with customers in the US, Germany, Australia, and Switzerland. Konverso is a winner of innovation awards from the Ministry of Research, collaborates with AI-focused structures like Quantmetry to advance its technology.
Role In charge of product quality, you will organize test strategies around new NLP/AI paths and functions built by the development team, validate issues resolved by developers, manage and monitor key quality indicators, relying on the Atlassian suite used to track all Teamwork.
You will be responsible for understanding the user stories defined by our NLP consultants as part of their client projects, validating the resolution proposed by the developers.
You will be proactive on possible adjustments and improvements.
You are the last validation before changes go to customer environments.
You like quality, you have customer empathy, you understand priorities and know how to prioritize validation tasks based on customer impact.
Responsibilities Manage quality tests around the comprehension of user texts, research qualities, user journeys:
- Create, maintain and execute test cases - Maintain and develop our test environment with textual datasets, learning corpora, databases of Related knowledge
- Apply quality assurance over the software lifecycle (participate in the definition of development rules).
- Test user journeys dailys in the product web interface .
- Accurate bug reporting - Build relevant metrics to evaluate version quality and participate in new release decisions.
Work environment All activities are carried out in a software editor process, with the use of the Atlassian Jira tool for tracking tickets and sprints and the Atlassian Confluence wiki for technical and user documentation .
Product code is tracked in GIT repositories The work is organized around the Agile methodology, with daily sprints and scrums. You will be trained in this methodology.
Team The product team is multidisciplinary, combining AI, NLP (Natural Language Processing) and development.
Everyone has a well-defined role and bears great responsibility for their perimeter, with little or no assistance, real expertise, and autonomy required.
You will work under the supervision of the CTO in an exciting work environment, with constant innovation, rapid development and release cycles (close to continuous development ), and excellent motivation and team spirit
Skills and knowledge required:
- At least 5 years of experience, ideally with a software publisher - Good level of English - Linux environment
Would be a plus: Any past experience in software quality control in the fields of automation, conversation, research, NLP
- Experience with automation tools such as Jenkins
- Experience in using ticketing tools such as Jira to create a quality dashboard
- Familiar with the enterprise software lifecycle
Other skills in European languages (German, etc.)
On technical aspects: - Writing SQL queries
- Knowledge of any programming language (We use python)
- Knowledge of bash scripts
Contact Please send your CV and cover letter
Amédée Potier [email protected] +33 6 26 82 00 91
The SICAL team of the LIRIS laboratory (UMR 5205) proposes, as part of the e-FRAN Trans-3 project, an 18-month post-doctoral funding (→September 30, 2024) on the theme of serious gaming and hybridization of gamification for language learning.
The post-doctorate will take place at INSA Lyon, ideally starting in November 2022.
Applications are made on the CNRS portal https://t.co/sRpBAaof3C.
Deadline: February 21, 2023
Contacts: [email protected];
As part of each project, and under the supervision of a project manager, the infolinguist designs, develops, tests and maintains the linguistic resources necessary for the successful completion of the project (quality, deadline and load).
He/she participates, with the project manager, in the development of certain deliverables (mainly classification plan and platform configured for the project).
*Your missions:* - Participate in project scoping meetings in order to learn about the context and objectives of the project, data, deliverables to be achieved and schedule.
- Integrate customer data bodies within the platform, with the help of a third party if necessary.
- Carry out an exploratory study of the customer corpus.
- Create and expand the linguistic resources necessary for the successful implementation of projects following the instructions of the project manager.
- Prepare and participate in workshops with the client under the guidance of the project manager.
- Participate in the follow-up points set by the project manager, alert in case of deviation from the project plan.
- Ensure, throughout the project, the quality of language resources by controlling their accuracy and coverage through evaluations and error excavations.
- Ensure that the semantic analysis and configuration of the platform for which the project manager has entrusted him with responsibility allow an exploitation of the results in accordance with the needs and expectations of the client
- Document the configuration implemented throughout the project.
- Ensure the maintenance of the language resources created and manipulated.
*Your assets to succeed:* - You hold a Bac +5 in linguistics and / or natural language processing
- You already have a first experience in the field, internships and / or apprenticeships included
- You know the technical and organizational rules of art in linguistic engineering (NLP, formal linguistics , formal languages ...)
- You are able to carry out corpus studies (data exploration, understanding of the vocabulary of the domain, frequency of expressions, complexity of the language analyzed...)
- You know how to set up semantic analyses adapted to the needs of the project
- You know the fundamental concepts of quality assessment (precision, reminder ...)
- You master linguistic and semantic analysis tools (and you will be trained at Proxem Studio) - You master office software (text editor and spreadsheet)
*Soft Skills* - You are recognized for your adaptability, your flexibility, and your ability to interact, whether orally or in writing.
- You have excellent analytical and synthesis skills, creativity and innovation.
- You enjoy teamwork, and have a customer-oriented spirit.
*To apply*: Follow the "Apply" link on the page:
https://www.linkedin.com/jobs/ view/3462884791/?refId=QIALor0 eQDa%2FSt64COTwjA%3D%3D&trackingId=QIALor0eQDa%2FSt64COTwjA%3D%3D Sincerely / Best Regards, Rachel DROZDZ ------------------------------
engineer Duration: 18 months on fixed-term contract.
Location: Palaiseau (Paris-Saclay cluster).
Within the IRT SystemX, reporting to the "Interaction, Use and Knowledge" team. Possible trips to partner laboratories (Paris, Lab-STICC Brest, ...).
Subject: XAI in Deep Learning
Project: "confiance.ai", Chair "Good in Tech" (partnership between IMT and Sciences Po)Supervision: Christine Balagué (LITEM, Université Paris Saclay, IMT-BS), Lina FAHED (Lab-STICC, IMT Atlantique, Brest)
To apply: send CV + cover letter to [email protected] More info on the offer attached and in this link https://www.irt-systemx.fr/recrutement/cdd-post-doc-sur-lautopsie-de-lia-f-h/
Saarland Informatics Campus (https://saarland-informatics-campus.de/en/) is a cluster of academic research at University and research institutes.
The telecommunications lab has built an own light field array (https://www.youtube.com/watch?v=5eGWY5RS530) and has a research focus on semantic processing of light fields (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9733489).
We are hiring a PhD and/or PostDoc researcher to support our light field team. Research focus will be on the integration of temporally sub-framed light fields (light fields in which sets of rays have been captured at different times within a frame) into as well our own semantic processing pipeline as into state-of-the-art light field processing tools like MPEG-MIV.
For further information please contact the telecommunications lab under the email given in the footer.
Prof. Dr.-Ing. Thorsten Herfet Saarland Informatics Campus C6 3 10.02
Phone: +49(681)30270852
Email: [email protected]
PhD Candidate in Can we imagine a decision-making system as a support for access to the Law? Illustration around the European regulation on AI", Universite PSL (Paris)
My colleague Elsa Nègre, MCF HdR, LAMSADE, Université Paris Dauphine and myself MCF HdR Droit have just submitted a project in the cofund "Artificial Intelligence for the Sciences" supported by PSL University for the recruitment of a PhD student on the theme
"Can we imagine a decision-making system as a support for access to the law? Illustration around the European regulation on AI"
Applications for thesis projects must be submitted before 31 March 2023. The winners will begin their doctorate at the start of the 2023 academic year.
See the description of the call for applications https://euraxess.ec.europa.eu/ jobs/67041
PhD position 08 - MSCA COFUND, AI4theSciences (PSL University, France) - "Can we imagine a decision-making system as a support for access to law? Illustration around the European regulation on AI". https://euraxess.ec.europa.eu/ jobs/67041
"Artificial intelligence for the Sciences" (AI4theSciences) is an innovative, interdisciplinary and intersectoral PhD programme, led by Université Paris Sciences et Lettres (PSL) and co-funded by the European Commission.
PhD position on tensor-based unsupervised learning methods for neuroimaging data fusion
We are offering a PhD position on tensor-based unsupervised learning methods for neuroimaging data fusion.
Location: Primarily the CRAN laboratory (University of Lorraine) at Nancy, France, with visits to the MLSP laboratory (UMBC) in Maryland, USA.
The candidate will work with Prof. David Brie and Dr. Ricardo Borsoi in the CRAN laboratory, Nancy, and with Prof. Tülay Adali at the MLSP laboratory, UMBC, UDA.
Starting date: October 2023
Description: Given the recent explosion in the amount of data from multiple modalities, a fundamental problem is fusing heterogeneous datasets containing dataset-specific information. The objective of the project is to develop flexible and directly interpretable unsupervised learning algorithms based on tensor decompositions for neuroimaging data fusion. Specific objectives include the study of their theoretical properties and demonstrate their performance on multi-subject and multimodality neuroimaging data for personalized medicine applications.
Candidate profile: Master’s degree or equivalent, with experience in signal processing, machine learning or applied mathematics.
To apply: If interested, please send your application including an academic CV and a motivation letter to [email protected], [email protected], and [email protected].
For further information, see: http://ricardoborsoi. github.io/Positions/P_these_tensCRAN_UMBC_2023.pdf
Interested in artificial intelligence and computer vision for providing a better-personalized content experience?
Then join us at the Department of Advanced Computing Sciences (DACS), Maastricht University, the Netherlands to work in an interdisciplinary project on AI based Video Summarization together with RTL, University of Amsterdam (UvA) and Faculty of Arts and Social Sciences (FaSoS).
In this project you will strive to generate from full length video summaries such as trailers or thumbnails that increase interest in viewing the content, without spoiling the experience.
For this a deep understanding of the full length material is needed, using AI models to analyse scenes, faces, music, etc.
From this deep understanding and the extensive archives of already produced promotional material at RTL, you will build models of what makes scenes interesting.
The main scientific challenge for this workpackage is how to best automatically or semi-automatically (using human-in-the-loop algorithms and pipelines) generate summaries from a full length video, while considering the diversity and fairness of this content.
Detailed information can be found at the following URL:
https://www.academictransfer. com/en/322662/phd-candidate-in-artificial-intelligence-and-computer-vision/
The application deadline is *February 12, 2023*.
JRF position to work on the cutting edge interesection of AI/ML and Biometrics
An interesting job opportunity in India to embrace your research potential and publish in top-tier venues which can not only help you in fetching research opportunities but also develop something exciting through your research power.
Job title: Junior Research Fellow or Project Associate at IISER Bhopal, India
Link: Click
Applications are invited from highly motivated and eligible candidates for the recruitment of at most two (02) Project-based Junior Research Fellows (JRF) or Project Associates purely on a temporary basis to work full-time in the project titled “Fair and Trustworthy Computer Vision and Biometric Systems” funded by MHRD, Government of India.
Qualification: ● Students with M.Tech./M.E./M.S./M.Sc. in Computer Science, Electrical Engineering, or related fields from a recognized Institute/University. ● Good knowledge of python programming language. ● Good knowledge of machine learning algorithms or at least the toolboxes like Scikit-Learn, TensorFlow, Keras, PyTorch, etc
Salary: INR 25,000 - INR 31, 000 + HRA (as applicable) per month (Consolidated pay with no other allowances).
Tenure of Appointment: The appointment will be initially for one year from the date of his/her joining the institute, which may be extended later depending on the availability of funds and/or terminated earlier based on the performance of the candidates. It might be a good opportunity for a candidate to also apply for a Ph.D. position later if interested to pursue research.
PI Name: Dr. Akshay Agarwal
Website/Homepage of PI: https://sites.google.com/iiitd.ac.in/agarwalakshay/home
Job Location: IISER Bhopal, MP India [In Person]
Submission Deadline: 5th March 2023
Please carefully look at the instructions before applying and submit all the required documents in a carefully crafted professional email.
Please visit the institute website or LinkedIn post for more details: https://www.iiserb. ac.in/careers/rnd or https://www.iiserb.ac.in/assets_external/vacancy/r&d/52fb711fadb0a616329a6a61bed50832.pdf or https://www. linkedin.com/posts/akshay-agarwal-093212109_jrfjobadakshaydocx-activity-7028026076660383744-1cw2?utm_source=share&utm_medium=member_desktop
Please post widely where undergraduates might see this announcement and encourage your students to consider applying.
CVR-VISTA Vision Science Summer School (CVRSS), 2023 YORK UNIVERSITY, TORONTO, CANADA
The Centre for Vision Research at York University in Toronto, Canada offers a one-week undergraduate summer school on vision science in cooperation with the Vision: Science to Applications (VISTA) initiative.
After disruptions due to the COVID-19 pandemic, the 2023 program will be returning to an expenses-paid, in-person event. This year's program will be held July 10-14, 2023.
The program includes talks by CVR faculty members on current research topics in vision science, as well as hands-on experience in CVR laboratories. The curriculum reflects the wide range of research areas at CVR, which includes research on human visual perception, computer vision, machine learning, visual neuroscience, digital media, immersive environments, and visual disorders.
The program accepts undergraduate students who are interested in pursuing a career in scientific research. It is intended mainly for students who are planning to apply to graduate school in the fall of 2023 (for entry in fall 2024), and who are interested in investigating vision science as an area of research. Citizens of all countries are eligible.
Application instructions are available on the CVR summer school website (https://www.yorku.ca/cvr/summer-school/ ). We are accepting applications from now until the revised application deadline of March 3, 2023. Applicants will be notified of decisions by mid-March. We expect to accept between 30 and 40 students.
For further information please see the attached flyer, the website https://www.yorku.ca/cvr/summer-school/ or write to [email protected]
Faculty members in the Centre for Vision Research also sponsor undergraduate students in several competitive summer internship programs funded by the Natural Science and Engineering Research Council NSERC, other government agencies or through internal summer internship programs.
With supervisor consent, summer research interns are invited to participate in the Summer School as part of their internship.
Please contact faculty members for details on opportunities in their laboratories.
Deadlines vary but be aware many are quite soon (e.g., the Lassonde School of Engineering and Faculty of Science have deadlines very soon)
Context and objectives: Global warming has become a major concern for several decades. Information and communications technology "ICT" sector accounts for between 5% and 9% of the global electricity consumption per year [1], and telecommunication networks is taking an important part. Manufacturers have an urging need to design novel mechanisms/methods to optimize energy. A broad variety of solutions have been proposed to improve energy consumption in networks [2,3,4,5]. Their ultimate goal is to reach the smallest energy consumption as possible and, in particular, a consumption that is proportional to the utilization of devices. Several studies have shown that most of network devices still demonstrate a non-proportional behavior. However, the situation is quickly evolving with the integration of energy-saving mechanisms in hardware components. On top of ongoing hardware improvements, new network management and network control solutions will have to be developed to fully benefits from them, in particular for:
Network design: A well-designed network architecture can reduce the number of active devices and power consumption. Identifying which equipment to replace can also help.
Network control: Deciding the configuration of network devices allows to dynamic adapt capacity and power consumption to traffic. Computing energy-efficient routes also helps.
These network design and control solutions depend on multiple factors: network devices and their energy-saving mechanisms, traffic fluctuations and user requirements, etc. In this context, decisions need to be carefully taken as they impact Quality of Service (QoS) and reliability (e.g., tolerance to failures). This PhD thesis aims at investigating the integration of advanced models about energy saving mechanisms into network optimization and control algorithms for the next-generation of telecommunication networks.
Concretely, this PhD thesis on Network Optimization / Operations Research will focus on:
Optimization under budget constraints: Telecommunication operators may have budget constraints when it comes to replacing devices in their networks and they have to prioritize upgrades for devices. One approach is to replace those which reached the end of their life cycle analysis (LCA) or are no longer supported by the manufacturer. Another approach consists in upgrading the most critical devices (those carrying the most traffic or providing critical services).
Robust optimization: Given the stochastic nature of traffic fluctuations, a set of scenarios (such as a multi-period traffic matrix) will be considered to make long term decision "Network design & Device replacement" and short term decisions "Routing & Device frequency selection", at each period of the time horizon.
Multi-objective optimization: Selecting a low "frequency" for devices can lead to energy savings and cost reduction for telecommunications operators. On the other hand, QoS may be impacted and degraded. Therefore, balancing the objectives of energy efficiency and QoS objectives can be a challenging multi-objective optimization problem.
Meta-Heuristic and exact methods are two different approaches that can be used to tackle the previous challenging optimization problem. Even though Meta-Heuristic methods do not guarantee optimal solutions, they are usually fast and useful with large-scale or complex problems (Stochastic problems [6], Multi-objective problems [7]). The hybridization [8] could be a powerful approach that combines the strengths of both methods to solve problems in the field of energy efficiency in IP networks. The PhD candidate will first look at exact methods and then develop hybrid ones.
Specific Requirements Candidates should have a Master degree in Operation Research, Computer Science, or Applied Mathematics from a University or a Grande Ecole. They should have a solid background in Combinatorial Optimization. Knowledge of telecommunications will be appreciated.
English: Operational
Contacts LERIA, University of Angers: Prof. Jin-Kao Hao ([email protected]) Huawei FRC: Dr. Youcef Magnouche ([email protected]), Dr. Sébastien Martin ([email protected])
Application To apply please send a complete CV, a cover letter, grades of University/Grande Ecole studies, and references. The position is for 3 years starting as soon as possible. Deadline: Application must be submitted as soon as possible. We will continue accepting applications until the position is filled.
Huawei The Huawei France Research Center (PRC) located in Boulogne-Billancourt, Paris area, is responsible for advanced research in the fields of Algorithm and Software design, Aesthetics, MBB & Home devices and Parallel Computing, to create and design the innovative technologies and software platforms.
[Postdoc position] Aix-Marseille University - Multi-view Topic-Modeling for Medical Report Analysis
Dear colleagues and researchers, Applications are invited for a full-time Post-doctoral Research Fellow position in Multi-view Topic-Modeling for Medical Report Analysis at Aix-Marseille University (France) with project partners at the UNIVERSITY HOSPITAL OF MARSEILLE (AP-HM).
The candidate will work on a cross-disciplinary collaborative project to develop advanced computational models to discover the evolving latent structures representing relationships/patterns in multi-view data from medical reports related to lung cancer.
The detailed application procedure can be found in the attached document.
For more information, please contact Dr. Rafika Boutalbi at [email protected]
Best regards, Dr. Rafika Boutalbi
We are seeking highly motivated and talented individuals to join our research team as PhD candidates. This is a full-time, fully-funded position that offers the opportunity to make novel contributions at the interface between computer vision and neural machine translation with the primary goal of addressing automatic recognition and translation of Sign Language to spoken language.
The successful candidate will be hosted at ADAPT Centre (https://www.adaptcentre.ie/) @ MTU (https://www.mtu.ie/), Ireland and closely work with a team of mentors.
*Deadline of Application: **February 22, 2023*, with a starting date of as early as possible (preferably in March, 2023)
*Why ADAPT Centre?* - Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance.
- Work with our interdisciplinary team of leading experts from the complementary fields of, Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability.
- Leverage our success. ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards.
ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained.
As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:
1. Opportunity to build your profile at international conferences and global events.
2. A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists.
3. A Fully funded, 4 year PhD postgraduate studentship which includes a tax-free stipend of approx. €18,500 per year for up to four years including EU tuition fees, research and equipment costs and all costs associated with training related covered.
*Minimum qualifications* - Minimum 2.1 honours undergraduate degree in either Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills.
- Expertise/interest in Deep Learning/Natural Language Processing/Data Mining
- Previous scientific publication experience preferred.
- Excellent written and verbal communication and interpersonal skills
*Application Process* Interested candidates can send an application with the following documents directly to Mohammed Hasanuzzaman ([email protected])
1. Detailed curriculum vitae, including – if applicable – relevant publications;
2. Transcripts of degrees,
3. The name and email contacts of two academic referees,
4. A cover letter/letter of introduction (max 2000 words). In the letter, applicants should include the following details:
1. An explanation of your interest in the research to be conducted and you believe they are suitable for the position.
2. Details of your final year undergraduate project (if applicable)
3. Details of your MSc project (if applicable)
4. Details of any relevant modules previously taken, at undergraduate and/or Master level.
5. Details of any relevant work experience (if applicable).
*Diversity* ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT.
*About the ADAPT Centre* ADAPT is the world-leading SFI research centre for AI Driven Digital Content Technology hosted by Trinity College Dublin. ADAPT’s partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway. ADAPT's research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content.
*Our Research Vision* Governments and civil society are starting to recognise the need for urgent and concerted action to address the societal impact of the accelerating pace of digital content technologies and the AI techniques that underpin them. ADAPT provides an ambitious, ground-breaking, integrated research programme that assembles three interlocking Strands that together are capable of addressing this challenge. Each of these complementary and reinforcing research Strands takes one of the different perspectives on the provision of personalised, immersive, multimodal digital engagement, i.e. the individual’s experience and control of the engagement, the algorithms underlying digital content processing, and the balanced governance by enterprise and societal stakeholders.