Job : Postdoc (8-9 months), TAL and Urbanism, MoDyCo / LAVUE (Paris-Nanterre)



  • We are looking for a candidate for *a post-doctoral contract in NLP*.


  • The work will be carried out within the Laboratoire Modèles Dynamique Corpus (MoDyCo, UMR 7114) and the Laboratoire Architecture Ville Urbanisme Environnement (LAVUE, UMR 7218). The funding will be provided as part of the VITAL project (City, Natural Language Processing).


  • *Key terms:*urbanism, architecture, NLP, spatial dynamics, urban project, urban change, discourse of city specialists **


  • The VITAL project brings together in an original and innovative way researchers in natural language processing (NLP), architects and urban planners, in a partnership research project with the National Archives and in collaboration with other institutions. This project aims to understand how architectural and urban discourses and projects approach space as a dynamic and to study how this dynamic is expressed.


  • The interdisciplinary approach adopted here mobilizes NLP to identify and analyze the elements of the discourse reflecting the notion of urban dynamics and its perception by specialists in the field of urban planning in development projects and initiatives. The aim is to test the feasibility and reliability of an automatic linguistic analysis of expressions referring to dynamics in the field of urban planning as well as to propose a modeling of the desired phenomena and a typology of markers characterized by the associated properties.


  • Duration: 8 months with possible extension 1 month. - Start of contract: January 1, 2023


  • Candidates must hold a doctoral thesis in natural language processing and show an interest in the field of urban planning. Autonomy in coding in python is essential, as well as a foundation in machine learning.


  • *SUPERVISION*The postdoctoral fellow will be co-supervised by professors Iris ESHKOL-TARAVELLA (/Doctoral School/n°139 "Knowledge, Language, Modeling", PR specialist in NLP) and Olivier RATOUIS (Doctoral School ED 395 - Doctoral School Spaces, Time, Cultures, PR Urbanism) *


  • Candidates who wish to apply haveThis postdoctoral contract must communicate a file composed of the following documents:


  • 1. An academic curriculum vitae (2 pages maximum); 3. A cover letter (3,000 characters maximum); 4. Letters of recommendation 5. Thesis reports if possible


  • The application file will be sent electronically in format .pdf (a single file bearing the candidate's name) to the following addresses :[email protected],[email protected]


  • - Sending application files: from Monday 5 September 2022


  • - Deadline for submission of applications: Friday, December 2, 2022 at 5:00 pm (Paris time)- Selection of applications: between December 5 and December 16, 2022


  • - Announcement of results: December


  • 19- Starting date: January 1, 2023


  • *CONTACT*Iris Eshkol-Taravella ([email protected])


  • Olivier Ratouis ([email protected])




Research Associates in Machine Learning and Robotics in Cyprus



  • We are looking for research associates in machine learning and robotics at the CYENS Centre of Excellence in Cyprus.


  • For more information, please check the following link: https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associates-in-machine-learning-and-roboti/


  • Application deadline: 20 November 2022




Open Position for PhD in Computer Vision



  • Do you like to do research for a pioneering project on winter sports? Do you ski? Maybe you want to work with us and why not ski with us. If so, look at the open position in my lab and join us.


  • For any doubt, just contact me (christian DOT Micheloni AT uniud DOT it).


  • We are looking for researchers interested in the intersection of computer vision and machine learning.


  • The deadline for the application is *November 20, 2022*. PhD is required.


  • Full details about the application can be found here:https://titulus-uniud. cineca.it/albo/viewer?view=files/002216380-UNUD001-bf2fe20e-5e8f-4b74-8b09-4237a8545149-002.pdf




Four PostDoc Positions on AI4EO for Social Good



  • The TUM Chair of Data Science in Earth Observation (SiPEO) develops innovative signal processing and machine learning algorithms to extract geo-information from big geospatial data, ranging from remote sensing satellite data, aerial data, LiDAR to social media data.


  • As downstream applications, we provide large scale and highly accurate geo-information to address societal grand challenges, such as monitoring the global urbanization, climate research and supporting the sustainable development goals of the United Nations.


  • Towards this goal, our chair hosts large scale initiatives, such as the international future lab AI4EO, the national excellence center ML4Earth and the TUM innovation network EarthCare, and thus, offers a close connection to a large AI4EO research team covering a wide range of expertise ranging from machine learning/deep learning, remote sensing and Earth observation, big data analytics, data mining, data fusion, HPC to sustainability. In addition, we offer analysis-ready data on a global scale that are either open and free, such as Sentinels, or accessible through scientific proposals or academic collaborations, such as TanDEM-X and Planet Scope.


  • To establish the AI4EO for Social Good working group, our lab offers four open positions for outstanding postdocs and senior scientists (initially for two years with the possibility to prolongate).


  • Interested applicants shall share the vision of the working group. The main research tasks will be AI4EO for addressing the challenges of our time, building up on the expertise and data available at the chair. The exact topic will be defined jointly by the candidate and Prof. Xiaoxiang Zhu – the PI of the lab. Interested applicants should have an excellent track record and a PhD in machine learning, computer science, statistics, remote sensing, mathematics or a related discipline.


  • Application materials comprise: CV Full set of transcripts Statement of purpose


  • Briefly state what drives you and what are your goals in applying to the SiPEO lab Names for at least two references (For each reference, please include name, title, and email address.


  • References should expect to be contacted for a reference letter.) Please submit these documents to [email protected] by November 30th , 2022.


  • Please kindly consider that due to the high requests, we will not be able to consider incomplete applications.




CALL FOR JUNIOR TECHNICIAN - (22000054) - PAVIS LAB - IIT GENOVA - ITALY



  • Commitment & contract: 1 year fixed term contract, renewable Location: Genoa, Via Enrico Melen 83


  • WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience.


  • YOUR TEAM You will be working in the Pattern Analysis and Computer vision (PAVIS) Research Line, a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out the research on Computer Vision and Artificial Intelligence.


  • EXTRA AWESOME Experience with Machine Learning and Deep Learning models (e.g. Pytorch, Tensorflow, CUDA)


  • Experience with modern software development tools and technologies (CI/CD, test driven development, Git, microservices, Docker, MQTT, DevOps)


  • Working experience in the public or private research sector


  • Experience developing software for interfacing sensors (cameras, PTZ, RGBD sensors, thermocameras) or GPUs


  • Experience in managing computer networks and network programming Good communication skills Strong problem solving attitude High motivation to learn


  • Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary and multicultural environment


  • COMPENSATION & BENEFITS Competitive salary package for international standards Private health care coverage Wide range of staff discounts 2 days of teleworking per week Flexible working time


  • WHAT’S IN IT FOR YOU? State of the art equipment with access to one of the top High Performance Computing infrastructures in Italy


  • Learn from a dynamic and highly motivated team working at the edge of computer vision and machine learning technology composed by the brightest minds in the field


  • The chance to develop AI systems from scratch and put your mark on it


  • Weekly reading groups for staying up to date with the most recent trend and developments in the field of Machine Learning and Computer Vision


  • The opportunity to collaborate with the most important and ambitious multi-national companies of the world


  • An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us!


  • We like contamination and encourage you to mingle and discover what other people are up to in our labs!


  • If paperwork is not your piece of cake, we got you! There’s a specialized team working to help you with that, especially during your relocation!


  • If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations


  • If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!


  • We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission!


  • If you feel this tickles your appetite for change, do not hesitate and apply!


  • Please submit your application using the online form and including a detailed CV:https://iit.taleo.net/careersection/ex/jobdetail. ftl?lang=it&job=22000054


  • Application’s deadline: 21/11/2022


  • We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.


  • Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.


  • Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email:[email protected] kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening).




Permanent contract to be filled - Doctor in R&D Computer Science - System and Network for dissemination to your networks



  • In charge of the Corporate Relations, Partnerships and Recruitment department within ABG (Bernard Gregory Association), we are currently looking for a PhD specialized in the field of IT / System and Network for a permanent position within the start-up Weblib.


  • We would like to disseminate this job offer to your networks of PhD students who may be interested in:


  • https://www.abg.asso.fr/fr/ candidateOffers/show/id_offre/107962/job/doctor-in-r-d-computer-system-and-network-h-f


  • We remain at your disposal if you have recommendations or suggestions to make us to relay this offer more widely.




Research Engineer IoT IA NLP - European Project



  • As part of the project European-Japanese e-VITA (https://www.e-vita.coach/), IMT Atlantique's RAMBO team offers an engineer position of one year of research in the field of ambient technologies (IoT, data fusion, AI, cloud/edge, user services, coaching, NLP, etc.).


  • For more information and apply: https://institutminestelecom. recruitee.com/l/fr/o/ ingenieure-or-engineer-in-fusion-multimodal-cdd-12-month




Job : CDD (12 months), Engineer in Multimodal data fusion, IMT Atlantique (Brest)



  • Dear all,In the framework of the European/Japanese e-VITA project (https://www.e-vita.coach/), IMT Atlantique is offering a one-year position in the field of active living technologies (IoT, data fusion, AI, cloud/edge architectures, user services, coaching, NLP, etc.).


  • Description and link to apply: https://institutminestelecom.recruitee.com/l/en/o/ingenieure-or-engineer-in-fusion-multimodal-cdd-12-month




Post-doc / Research Engineering offer



  • Context: PerSCiDO platform (https://perscido.univ-grenoble-alpes.fr/) is an open platform for sharing research datasets in a way that makes them easily findable thanks to a user-friendly interface and semantic metadata enabling in particular to link datasets with related scientific publications and software. PerSCiDO promotes the use of standard identifiers to improve the visibility of datasets and to facilitate their linkage with related publications or source code. PerSCiDO is based on the Semantic Web technologies and the Linked Data principles. As a result, it can be easily extended to new metadata to describe datasets of varied domains. A distinguishing characteristics of PerSCiDO is that the description of datasets with rich metadata is decoupled with the storage od the datasets themselves, which facilitates its interoperability with other platforms.


  • After getting familiar with the current version of PerSCiDO, the goal is to extend the functionalities of the current version of PerSCiDO in two directions: first, to take into account easily new metadata coming from standards of some domains ; second, to develop the interoperability of PerSCiDO with other existing or future research data repositories.


  • This position is funded by the European project FAIR-IMPACT (https://fair-impact.eu/fair-impact-expanding-fair-solutions-across-eosc) and the candidate will be hosted in the SLIDE group (https://www.liglab.fr/fr/recherche/equipes-recherche/slide) of the Laboratory of Informatics in Grenoble (LIG). This group develops scalable algorithms and infrastructures for data management, data mining, data linkage, ontology-based data access and crowdsourcing. SLIDE is involved in the FAIR-IMPACT WP6 aiming at making interoperable the tools and platforms for sharing research data in the European Open Science Cloud (EOSC). The candidate will participate to the regular meetings of the FAIR-IMPACT European project, and is expected to be source of proposals within Task 6.1 "Semantic and Technical core interoperability across domains". He will also have to validate the proofs-of-concepts on a certain number of use cases defined in the project


  • We are looking for a motivated research engineer or postdoctorate candidate, with a good experience of Semantic Web technologies (RDF, RDFS, SPARQL) and programming skills in pytho, with some experience in using docker and gitlab or github.


  • Employer: CNRS Context: FAIR-IMPACT project (www.fair-impact.eu) Duration: 12 months Where: LIG, University of Grenoble


  • Contact: marie-christine. [email protected] --




Creation of a data warehouse for the integration of antimicrobial resistance (antibiotic resistance) data



  • Duration of the contract: 2 years Required degree: Master or PhD in Computer Science


  • Job brief This position is proposed as part of a research project whose objective is to create a data warehouse to integrate and analyse data from project partners related to antibiotic resistance ( antibiotic resistance).


  • The development of the data warehouse is being carried out with an engineer from the Zenith team of the National Institute for Research in Digital Sciences and Technologies (Inria). The Zenith team, expert in scientific data management, has a solid experience in processing large amounts of data produced by different methods.


  • After the warehouse is set up, we will need to analyze the data to extract new knowledge linking human health, animal health, and the environment.


  • The main activities of the recruit are: • Contribute to the development of the data warehouse. • Integrate partner data into the data warehouse. • Contribute to the creation of web pages to visualize query results and update data.


  • Technical skills and level required: • Master's or Ph.D. in Computer Science • Knowledge of data management systems. • Knowledge of website development.


  • Gross salary Between 2500 and 3800 Euros gross monthly (depending on the experience of the candidate).


  • Place of work Team Zenith, Montpellier


  • Contact Reza Akbarinia:[email protected] Florent Masseglia:[email protected]




Fully funded robotics Ph.D. positions in Fall 2023 at George Mason University Last call for applications. Deadline December 1 2022 for Fall 2023 start.



  • The RobotiXX lab at the Department of Computer Science, George Mason University in the Washington, D.C. area (https://www2.gmu.edu/), is looking for self-motivated Ph.D. students in the area of robotics starting Fall 2023. The candidate will be supported with full tuition and stipends.


  • At RobotiXX lab, we perform robotics research at the intersection of motion planning and machine learning, with a specific focus on deployable field robotics. Any candidate with relevant experience in robotics, motion planning, and machine learning is encouraged to apply. Hands-on knowledge in robotics hardware, field experience, and a good publication record is strongly preferred.


  • The selected candidates will conduct independent research to develop highly capable and intelligent mobile robots that are robustly deployable in the real world with minimal human supervision, and publish papers in top-tier robotics conferences and journals. To apply, please visit George Mason University's admission website (https://www2.gmu.edu/admissions-aid) and send a single PDF of the following documents to Dr. Xuesu Xiao, Assistant Professor ([email protected]): 1. cover letter, 2. curriculum vitae, 3. transcript, 4. three references, 5. relevant publications, 6. other relevant materials, with the subject line “[jobs] YOUR AFFILIATION - YOUR NAME”.


  • For more information, please see the lab’s website (https://cs.gmu.edu/~xiao/RobotiXX/lab.html), research statement (https://cs.gmu.edu/~xiao/xuesu_website_files/Research_Statement.pdf), and YouTube Channel (https://www.youtube.com/channel/UCCePdJzWg35eml4WRGkX3GQ/videos).




Fully-funded PhD position in Athens, Greece, for deep learning/computer vision research



  • For those interested into cutting-edge research on computer vision, artificial intelligence and machine/deep learning, the Harokopio University of Athens (https://dit.hua.gr/index.php/en/) offers a fully-funded vacancy for a PhD candidate.


  • The offer is addressed to holders of M.Sc./M.Eng. in computer science/informatics/computer engineering, with an interest in computer vision and willing to move to Athens.


  • CVs are to be e-mailed to Prof. Georgios Th. Papadopoulos, at the following address:[email protected]


  • Feel free to disseminate to interested individuals.




Open Rank Professorship in AI for Cyber-Physical Systems at the University of Zurich (includes Robotics and Computer Vision)



  • My institute, the Dep. of Informatics at the University of Zurich, has the following opening. I would be glad if you could share this post within your network of interested applicants.


  • Application deadline: January 15th, 2023


  • The position can be filled at any level (Assistant with Tenure Track, Associate or Full Professor), starting at the earliest in Fall 2023. Candidates applying for Assistant Professorship shall hold a Ph.D. degree in computer science, electrical engineering, mechanical engineering, or related areas with a specialization in machine learning, mobile robotics, or perception, and shall have an excellent record of academic achievements in the relevant fields. Candidates applying for Associate or Full Professorship shall have an excellent research record in machine learning, mobile robotics, or perception and strong teaching skills both at the undergraduate and the graduate levels. The successful candidate is expected to perform research in any (but not limited to) of the following areas:


  • - Multi-modal, multi-task, embodied AI,


  • - Learning from past experiences, auto reconfiguration and adaptation, - Robust and intelligent perception,


  • - Human imitation (e.g., learning prediction and action from large unlabeled videos of humans), - Robot learning.


  • The performance evaluation will be undertaken in line with DORA and the Open Science Policy of the University of Zurich.


  • Through its educational and research objectives, the University of Zurich attracts leading international researchers who are willing to contribute to its development and to strengthening its reputation as a future-oriented university with excellence in research, promotion of young researchers, and innovative research-based teaching. The University of Zurich is an equal opportunity employer and in particular strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are encouraged to apply.


  • Please submit your application including motivation letter, CV, publication list, research, and teaching statement as well as a diversity and inclusion statement, and a list of references athttps://www.facultyhiring.oec. uzh.ch/positiondetails/26279943




Fully-funded PhD studentships in Safe and Trusted AI



  • Are you interested in becoming an expert in methods of safe and trusted artificial intelligence?


  • The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI) (https://safeandtrustedai.org) will fully-fund 12 PhD studentships to start in October 2023. The application deadline for Round A is 28 November 2022 :https://safeandtrustedai. org/apply-now/


  • We anticipate up to three further application rounds for October 2023 entry.


  • The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King’s College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI).


  • As a student at the CDT, you will engage in various training activities alongsid your individual PhD project, ensuring that not only are you trained in state-of-the-art AI techniques, but also that you acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting.


  • You will graduate as expert in safe and trusted AI, able to consider the implications of AI systems in a deep and serious fashion, to recognise this as a key part of the AI development process and equipped to meet the needs of industrial and public sector organisations.


  • Our fully-funded studentships are 4 year awards that include tuition fees, a tax-free stipend set at the UKRI rate plus London-weighting (for 2022-23, students studying full-time in London receive a stipend of £19,668) and a generous allowance for research consumables and conference travel.


  • Applications are now open! The CDT will consider applications in several rounds, until all places have been filled. Round A deadline is 28 November 2022 Apply Now - Safe & Trusted AI (safeandtrustedai.org)




2 thesis topics within the framework of the ANR/FNR AI4C2PS (Artificial Intelligence for Cognitive Cyber-Physicial Systems interoperability)



  • Are you passionate about research? So are we! Come and join us


  • The Luxembourg Institute of Science and Technology (LIST) (https://www.list.lu) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT.


  • By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.


  • You ‘d like to contribute as PhD student? Join our IT for Innovation


  • Apply online https://www.list.lu/en/jobs/ Your application must include:


  • • A motivation letter oriented towards the position and detailing your experience;


  • • Sketch of PhD project


  • • A scientific CV with contact details;


  • • List of publications (and patents, if applicable);


  • • Contact details of 2 references (optional).