PhD Position in High-Dimensional Machine Learning -- LOEWE-Project "Dimension Curse Detector"



  • The research group Knowledge & Data Engineering at the University of Kassel announces a


  • PhD position (salary scale TV-H E13, 100%) in the context of the LOEWE-Project "Dimension Curse Detector" [1].


  • The position [2] is supervised by PI Dr. Tom Hanika [3] in cooperation with Prof. Dr. Gerd Stumme and Prof. Dr. Martin Schneider (TU Freiberg).


  • The group's emphasis is on researching and developing methods and algorithms at the confluence of Knowledge Discovery, Artificial Intelligence and Mathematics.


  • The research project aims at exhibiting concentration phenomena in the realm of high-dimensional machine learning and data science applications.


  • We welcome talented and highly motivated candidates with knowledge in discrete structures or mathematical foundations of machine learning, as well as good programming skills in Python, GNU R, Fortran, or Java.


  • Furthermore, a high social competency and a very good command of the English language are expected. Applicants to the PhD position must have a relevant *Master's degree* (or equivalent) in Computer Science, Mathematics, Physics or a related field.


  • The position is (at first) limited to *2 years* (cf. Qualifikationsstelle gem. § 65 HHG i. V. m. § 2 Abs. 1 Satz 1 WissZeitVG; Promotionsmöglichkeit).


  • Please submit your complete application (including all necessary documents and a letter of intent) via the application portal [4].


  • Applications are accepted as of now until *2022-02-15*.


CDI Engineer AI researcher at CEA/cadarache



  • Hi all I would like to send you a job offer at the CEA in Cadarache: this is a permanent engineer researcher in artificial intelligence at the IRFM (Cadarache)


  • Anyone interested can contact [email protected]


  • Thank you in advance for your sharing! France


  • Description of the offer Located within the Fusion Plasma Physics Department (SPPF), the Intensive Computing and Computer Infrastructures (GC3I) group aims to strengthen the skills of the Institute for Research on Fusion by Magnetic Confinement (IRFM) in Artificial Intelligence (AI). The GC3I therefore aims to contribute to the development and deployment of new AI models applied to fusion and to enrich IRFM's knowledge of the opportunities that AI can bring.


  • The candidate recruited for this position will have the following duties:


  • 1. Bring expertise to IRFM engineers by integrating AI into internal and international projects from the design stage


  • 2. Contribute to the development of methods and deployments of innovative AI-based tools in the following areas: has. Reliability and security of the operation of a tokamak


  • b. Validation, exploration and processing of experimental and simulated data


  • c. Control and optimization of diagnostic operation


  • 3. Bring external AI expertise to the IRFM by creating a national and international network of collaborators


  • 4. Maintain a technological watch on methods and architectures dedicated to AI


  • He/she will evolve and work in an international environment in close collaboration with multidisciplinary researchers (digital, plasma physics, instrumentation,...).


  • Below is the link containing the announcement:


  • https://www.emploi.cea.fr/job offer/job-engineer-researcher-in-artificial-intelligence-h-f_19748.aspx


CDD AI developer - coral reefs - Reunion Island



  • Reef Pulse is looking for an AI developer for a 12-month fixed-term contract based in Reunion Island.


  • He/She will be responsible for developing an artificial intelligence solution to automate the processing and analysis of data collected by passive acoustics in coral reefs.


  • This will include the development of one or more learning algorithms for the automatic detection of signals of interest from spectrograms (images).


  • If you are interested in this opportunity, please send your CV and cover letter to the following email


  • ([email protected]), indicating "REEF PULSE – AI developer station" in the subject line.


Few Shot Learning Post-doc offer at CEA Saclay



  • Hello You will find attached a Post-doc offer to CEA LIST in Saclay. Applications should be sent to [email protected].


  • Sincerely, F. Ngolè Mboula


  • This postdoc is part of HIASCI (Hybridization of AIs and Simulation for Control In- dustriel), an internal CEA LIST project of collaboration which aims at building a platform of IA methods and tools for manufacturing applications, ranging from quality control to pro- cess monitoring.


  • LS2D contributes to HIASCI by developping efficient methods of anomaly detection for acoustic or vibrational signals operating with small amount of training data.


  • This “small data” scenario is certainly a challenge for the classic deep learning methods, yet becomes an increasingly common situation in many industrial domains.


  • The objective of this postdoc study is to develop methods of unsupervised few-shot detection of signal anomalies.


  • This is more realistic than the supervised detection since new types of anomaly have to be discovered without any labelled data. Starting from the existing theory of supervised FSL, the candidate is expected to accomplish the following objectives:


  • Adapt classical supervised FSL methods to the context of DSA. Study the feature extractors like LSTM-based autoencoder.


  • Propose methods for the unsupervised detection or the “zero-shot learning” problem.


  • All proposals and developments have to be validated by testing on real/simulated data, and integrated into the platform of the project HIASCI.


  • Application


  • The candicate should


  • possess a PhD in applied mathematics/computer science or related domains, with a focus on machine learning


  • have strong programming skills (Python etc.) and experiences in deep learning archi- tectures and libraries (Tensorflow, PyTorch...)


  • The application should include


  • • CV and statement of past research accomplishments


  • • contact information of at least two references


  • Email: [email protected]


  • Email: [email protected]



professorship at LERIA - University of Angers



  • Hello A professorship in computer science (section 27) is open for competition at the University of Angers for the start of the 2022 academic year.


  • The. job description is in PJ.


  • Teaching will be at the Computer Science Department of the UFR Sciences et la personne recruited will be attached to LERIA.


  • Its research profile will have to be integrated into the theme "Artificial learning and representation of the knowledge" of the laboratory.


  • Thank you for broadcasting this announcement within your structures.


  • Interested candidates can contact: Béatrice Duval and Stéphane Loiseau, responsible for the ARC theme [email protected] [email protected]


  • David Lesaint, Director of [email protected]


HPC/IA Senior Lecturer at the University of Reims



  • Hello A senior lecturer position in the field of HPC/HPDA and artificial intelligence 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 LICIIS for research, and UFR Sciences Exactes et Naturelles de Reims (MMI Department) for teaching.


  • Keywords : HPC, HPDA, deep learning and AI, algorithmics and parallel programming model, combinatorial optimization


  • Candidate's research profile:


  • The recruited candidate, qualified under section 27 of the CNU, will participate in the research activities of LICIIS and LRC


  • DIGIT whose main scientific themes are based on:


  • the performance and programming models of hybrid architectures with computing accelerators and the applications of scientific computing that can benefit from them;


  • • the implementation and operation of hybrid clusters;


  • • scientific visualization in HPC environment.


  • More specifically, it will reinforce the research themes around the axes "AI, HPDA and HPC applications" and "Programming models for hybrid architectures" by relying on the resources of the ROMEO regional data center. As such, it will be expected an investment in these axes, as well as in transversal application themes.


  • Beyond the specific research aspects mentioned above, particular attention will be paid to the application potential of the proposed research project, in coherence with the thematic axes of the laboratory, and to participation in large-scale research networks, national and international, through ANR, European and other projects.


  • The future colleague will also contribute to the scientific animation of the laboratory and will be led to take the role of URCA correspondent of the action "AI, HPDA and applications to HPC", within the framework of the LRC DIGIT.


  • The Laboratory: The Laboratory of Computer Science in Intensive Computing and Image for Simulation (LICIIS) is a research unit of the University of Reims Champagne-Ardenne (URCA) located on the Moulin de la Housse Campus. Created on 1 January 2021, LICIIS is also a contract unit (LRC DIGIT) with the French Alternative Energies and Atomic Energy Commission (CEA).


  • Its missions are both theoretical and applied research, training and valorization through technology transfer.


  • It develops research activities at the heart of information and communication sciences and technologies in the fields of supercomputing, artificial intelligence, scientific visualization and graphic computing.


  • LICIIS relies on a leading technological environment through the ROMEO and Centre Image


  • platforms. It also holds the C2I2 Chair, which aims to develop research in digital sciences with the support of major industrial players such as Atos, Intel and Nvidia.


  • Driving many national (PIA, ANR, FUI) and international academic projects, LICIIS is also a major player in innovation in the Region, through its transfer actions (SATT and CIFRE contracts) in partnership with both large industrial groups and startups.


  • Candidate's teaching profile: Teaching computer science in Bachelor and Master. Diplomas in which the teacher will be required to participate:


  • Computer Science License


  • Master with a specialization in High Performance Computing and Simulation (CHPS)


  • Cursus Master Ingénierie High Performance Visual Computing (CMI HPVC)


  • Skills in General Computer Science (programming, system, networks, database) for the entire program of the Computer Science license. Specific skills (e.g.parallel/distributed programming, HPC architecture, GPU programming, Machine Learning and Deep Learning, numerical simulation) that can be applied to master's mentions carried by the department, including the CHPS master and the HPVC CMI.


  • Job address: Place of work: Campus Moulin de la Housse, Reims.


  • If you would like further information please contact: Luiz Angelo Steffenel (Director of LICIIS): [email protected]


Offre for Phd : COVID-19 Knowledge Graphs, University of Lubeck



  • 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


CDI, 3 offres ingenieur R&D, LINAGORA



  • Linagora develops the open source speech recognition and natural language processing technologies LinTO(https://linto.ai).


  • We currently offer several permanent job offers for our R D department (LINAGORA Labs: https://labs.linagora.com) in the fields of Automatic Speech Recognition and Automatic Language Processing.


  • R D engineer speech recognition: https://job.linagora.com/poste/engineer-rd-recognition-of-speech/


  • R D engineer natural language processing: https://job.linagora.com/poste /engineer-rd-processing-langage-natural/


  • R D engineer development: https://job.linagora.com/poste/ingenieur-rd-developpement/


Fully Funded PhD - ICube, Strasbourg, France: Domain invariant interpretable representation learning for satellite image time-series



  • A fully funded PhD position is open at the University of Strasbourg (ICube).


  • The position will be jointly funded by the French National Centre for Space Studies (CNES) and the Chair SDIA.


  • The candidate will join the SDC research team under the supervision of Dr Thomas Lampert, the Chair of Data Science and Artificial Intelligence, and join his international team to develop novel deep learning approaches to domain invariant representation learning for satellite image time-series (SITS).


  • Domain invariant interpretable representation learning for satellite image time-series


  • The goal of the project is to develop models for learning domain invariant representations using deep learning for the analysis of satellite image time-series.


  • It is difficult and expensive to annotate the huge amount of data generated by satellites, but this is needed for the success of deep learning algorithms.


  • To overcome this, transfer learning and domain adaptation techniques will be developed to exploit unlabelled data.


  • These techniques allow an algorithm’s performance to be improved with minimal (or potentially no) additional annotation, lowering the cost of deployment.


  • The successful candidate will have (or will soon obtain) an MSc in Computer Science or related subject. Experience with deep learning is required and experience with time series and/or remote sensing is a bonus.


  • Send a letter of motivation, transcript of grades, and your CV to Thomas Lampert ([email protected] - !remove the numbers!) with the subject beginning with [CNES PhD].


  • The application deadline is 15/3/2022 and the starting date will be September 2022 (or soon after).


  • Detailed Description: https://drive.google.com/file/d/1_eil1utHBjfTwhmXQjR6VUM07jbJkYgk/view?usp=sharing