Dear colleagues and students,

The IDLab research group of the University of Antwerp and imec, has several interesting open positions. We're looking both for enthusiastic PhD students and senior post-doctoral researchers.

More specifically, we have the following open positions

PhD Students

PhD Vacancy in Artificial Intelligence for Graph Evolution Prediction: working on GNNs and its application to process control in domains such as chemical engineering, water treatment and HVAC.

PhD Vacancy on Next Generation AI for Perception and Cognition: working on next generation neural network architectures such as spiking neural networks and hyperdimensional computing

PhD Vacancy in Artificial Intelligence for an Automated Lab: automating process control systems in the pharmaceutical sector

Senior researchers Senior Researcher on Causal Artificial Intelligence: leading a small team of PhD students working on topics such as causal machine learning and relational learning Artificial Intelligence Project Manager: translating machine learning research to applied projects in collaboration with industry.

All these positions can be found at https://jobs.idlab.uantwerpen.be/

Feel free to forward this mail to anyone that comes to mind.

Thanks in advance, Steven Latre [email protected] -- prof. dr. Steven Latré

Director at IDlab, University of Antwerp, in collaboration with imec [email protected]

The Beacon I Sint-Pietersvliet 7 I 2000 Antwerpen I Belgium T: +32 3 265 34 47

W: idlab.uantwerpen.be| idlab.technology | www.imec.be

T: @IDLabResearch

We are now accepting applications for the NVIDIA Graduate Fellowship Program for the 2022-2023 academic year!

The program, now in its 21st year, advances the frontiers of science by awarding grants and providing technical support to graduate students who are doing outstanding GPU-related research.

We’re especially seeking doctoral students pushing the envelope in accelerated computing, artificial intelligence, robotics, autonomous vehicles, and related fields.

Awards are for up to $50,000 per student and will be awarded in the 2022-2023 academic year.

Since its inception in 2002, the NVIDIA Graduate Fellowship Program has awarded 175 Ph.D. graduate students with grants that have helped accelerate their research efforts.

More importantly, this funding has helped some students achieve major breakthroughs in their research ― ones that may not have been possible without additional funding.

The program is open to applicants worldwide. The deadline for submitting applications is September 10, 2021.

Eligible graduate students will have already completed their first year of Ph.D.-level studies at the time of application in the areas of computer science, computer engineering, system architecture, electrical engineering, or a related area.

In addition, applicants must also be available to complete a summer internship prior to the start of their fellowship year.

Please share this opportunity with your departments, students, and friends.

For more information on eligibility and how to apply, visit https://www.nvidia.com/en-us/research/graduate-fellowships.

Hello, as part of a recovery plan project, we offer 2 theses on the following themes:

- Security quantification in a 5G network: https://cloudgravity.github.io/files/jobs/beyond5g-t3.2_phd.pdf

- 5G Slice Security: https://cloudgravity.github.io/files/jobs/beyond5g-t3.3_phd.pdf

The topics and the application procedure are detailed in the links below.

The theses will start at the earliest in October 2021.

Sincerely, Gregory Blanc Télécom SudParis Institut Polytechnique de Paris

Hello, as part of a project of the Polytechnic Institute of Paris, we offer 2 theses on the following themes:

- Modeling and safety assessment of a complex system: https://cloudgravity.github.io/files/jobs/ceres-lot1_phd.pdf

- Digital twin for the security of technical building management: https://cloudgravity.github.io/files/jobs/ceres-lot2_phd.pdf

We also offer a platform engineer position: https://cloudgravity.github.io/files/jobs/ingenieur_pf-ceres_fr.pdf

The subjects and the application procedure are detailed in the links above.

The theses will start no earlier than October 2021.

Cordially, Gregory Blanc Telecom SudParis Polytechnic Institute of Paris

3-year PhD position is vacant at the Image, Data and Signal department of Telecom Paris – one of the leading French engineering schools, a member of Paris Polytechnic Institute.

The position is within the project funded by the Starting Grant of the French National Agency for Research in category Artificial Intelligence (ANR JCJC, CE23).

The successful candidate is expected to conduct research on the topics including both theoretical and computational constituents focused on development of large-scale and robust statistical and machine learning methodology.

Expected qualifications of the successful candidate: - Master or similar degree in statistics / data science / machine learning / artificial intelligence.

- Knowledge of programming in languages of machine learning: R / Python, C / C++, or similar.

- A good command of English.

To candidate, following documents are to be sent on [email protected] (please also feel free to write on this address for more details about the position):

- Motivation letter.

- Curriculum vitae.

- Copy(ies) of diploma(s).

- Name(s) / email(s) of at least two references.

Earliest starting date: 1st of October 2021.

Pavlo Mozharovskyi Associate Professor

LTCI, Telecom Paris, Institut Polytechnique de Paris 19 place Marguerite Perey, F-91120, Palaiseau, France https://perso.telecom-paristech.fr/mozharovskyi/

CIFRE thesis, Télécom Paris / Valeo: “Anomaly detection for large scale and heterogeneous data from production lines”

Anomaly detection is a branch of machine learning which aims to identify abnormal and aberrant events.

Although it knows many applications, it is still under-employed in the industry, while it can provide an essential tool for monitoring and improving production lines.

In this context, the main objective of this thesis is to develop an anomaly detection methodology for large-dimension data measured in large quantities at variable frequencies and also having a hierarchical structure; such data - more and more frequent in industry - is a challenge that is still open.

Indeed, the learning tools must not only make it possible to detect abnormal and aberrant manufacturing parameters with the greatest reliability but also provide an interpretation of the forecast which can be useful in improving the manufacturing process.

The thesis will explore different avenues such as data depth and classification a class. It will be carried out as part of a close collaboration between the company Valeo (Isle d'Abeau production site) and Télécom Paris (Institut Polytechnique de Paris). The developed methods will be applied to databases from a set of latest generation production lines.

Supervisors: Pavlo Mozharovskyi - LTCI, Télécom Paris, Institut Polytechnique de Paris

Florence d'Alché-Buc - LTCI, Télécom Paris, Institut Polytechnique de Paris

Expected qualifications: - Master in statistics / data science / Machine Learning / artificial intelligence / Engineering degree with specialization in these fields.

- Very good level in at least one of the Machine Learning programming languages: R / Python, C / C ++, or similar.

Place : - Télécom Paris (Campus de Institut Polytechnique de Paris, 25 km from Paris), 19 place Marguerite Perey, F-91120 Palaiseau.

- Valeo, L'Isle d'Abeau site.

Deadline: - Until recruitment, but no later than September 15, 2021.

To apply: Send the following documents to [email protected] and [email protected] :

- cover letter;

- curriculum vitae;

- copy (s) of diploma (s);

- name (s) / email (s) at least one referrer.

Pavlo Mozharovskyi Associate Professor

LTCI, Telecom Paris, Institut Polytechnique de Paris 19 place Marguerite Perey, F-91120, Palaiseau, France

https://perso.telecom-paristech.fr/mozharovskyi/

Telecom Paris is hiring an associate professor in machine learning.

Applications from researchers in machine learning for affective/social computing, human-agent interaction, speech processing, natural language processing are welcome.

https://institutminestelecom.recruitee.com/l/en/o/maitre-de-conferences-en-apprentissage-statistique-fh-a-telecom-paris-cdi

*Télécom Paris is one of the top four engineering schools in Fran ce for training general engineers.

Recognized for its close ties with businesses, this public graduate school ensures excellent employment prospects in all industries and is considered the number-one engineering school for digital technology. With its top-level innovative teaching, Télécom Paris is at the center of a unique innovation ecosystem, drawing on the interaction and cross-disciplinary nature of the school’s academic programs, interdisciplinary research, two business incubators and its campuses (Paris and Sophia Antipolis – EURECOM).

Its two laboratories, LTCI on digital sciences, and I3 on social sciences applied to innovation (joint research unit with CNRS), have both been accredited by HCERES as outstanding units for their international reputation and exceptional number of initiatives supporting the socioeconomic world and industry, as well as for their great contribution to teaching.*

*A founding member of Institut Polytechnique de Paris and an IMT (Institut Mines-Télécom) school, Télécom Paris is positioned as the college for digital innovation on the Paris-Saclay Campus.*

*SCIENTIFIC CONTEXT* The Information Processing and Communication Laboratory (LTCI) is Telecom Paris' in-house research laboratory. Since January 2017, it has continued the work previously carried out by the CNRS joint research unit of the same name. The LTCI was created in 1982 and is known for its extensive coverage of topics in the field of information and communication technologies.

The LTCI'score subject areas are computer science, networks, data science, signal and image processing and digital communications. The laboratory is also active in issues related to systems engineering and applied mathematics.

The open position is part of the research strategy of LTCI and Télécom Paris around Machine Learning and Artificial Intelligence.

The assistant professor will contribute as well tp the dynamics of the Institut Polytechnique de Paris with a very riche eco-system where projects in AI abound, whether it be between academic teams or with industrial groups.

In this context, the position will be hosted by the Statistics, Signal processing and Machine Learning (S²A) team, within the Images, Data & Signals department.

*PREFERRED SCIENTIFIC EXPERTISE*

Machine learning - trustworthy machine learning (reliable, robust, fair, explainable)

- online learning, reinforcement learning

- structured prediction / multi-task

- large scale learning, frugal learning

- time-series, spatio-temporal data

*MAIN RESPONSIBILITIES AND DUTIES* 1. Applicants should participate in the design and implementation of courses in their scientific field.

2. They should conduct research.

3. They should participate in the development of partnerships, collaborations, and contractual agreements in their scientific field.

POSITION RESPONSIBILITIESTeaching:* In collaboration with the other faculty members of the department: - Provide courses consistent with areas of knowledge, skills-set, and departmental needs;

- Teach labs and tutorials for undergraduate and graduate students;

- Serve on juries for prospective students who are applying for engineering courses, specialized masters, etc.;

- Contribute to the analysis of training needs;

- Design and organize teaching activities for undergraduate and graduate students;

- Design and implement project-based teaching;

- Supervise student projects;

- Develop courses and teaching tools in the above-mentioned field.

*Research:* - Engage in research activities in the scientific field concerned;

- Write proposals and participate in projects with partners from the Institut Polytechnique de Paris, the Institut Mines-Télécom or other institutions from the academic and/or corporate world, in particular in the framework of fundamental, national, or European projects;

- Carry out industrial research contracts;

- Explore and develop partnerships within the industry and establish contractual agreements.

*Coordination:* - Participate in and contribute to the scientific activities of the Group (seminars, presentations, juries, etc.).

*Fostering the recognition of Telecom Paris and the Institut Polytechnique de Paris:*

- Disseminate research findings via scholarly writing and publication;

- Lead presentations and seminars;

- Take an active role in scholarly and professional organizations;

- Maintain close relations with academic institutions, research centers, and companies.

*Other responsibilities:* - Participate in the scientific, pedagogical, and management activities of the department and/or institution;

- Where appropriate, direct and manage the staff placed under his or her responsibility or supervision;

- Report on the activities and results of the tasks for which he or she is responsible.

Job requirements

*Required skills, experience, and knowledge:*

- In-depth knowledge in the field of expertise.

- An excellent command of spoken and written English.

- If the candidate does not speak French, at the moment of hire he or she must commit to obtaining a professional proficiency of French as quickly as possible while under contract.

*Preferred skills, experience, and knowledge:*

- Post-doctoral or international experience in an academic or industrial laboratory is appreciated;

- Teaching experience.

*Other abilities and skills:*

- The ability to be an active team member in a diverse faculty, staff, and student environment;

- Strong teaching, pedagogical, and mentoring capabilities;

- Superb written and interpersonal communication skills.

*REQUIRED QUALIFICATIONS* *Candidates with one or more of the following required qualifications may apply:*

- Doctorate or equivalent;

- Civil servant recruited through the École Polytechnique or ENA or former student of the École Normale Supérieure and ≥ 3 years of professional experience;

- Holds a post-graduate degree from an engineering, business, or management school and has ≥ 5 years of professional experience;

- Holds a post-graduate degree and has ≥ 5 years of professional experience;

- Is a high-level business executive with ≥ 8 years of professional experience.

*ACADEMIC RANK and CARRIER EVOLUTION* The proposed position is a permanent position. Depending on its experience, the successful candidate will obtain the Assistant Professor or Associate Professor title.

The latter is given to the candidates having the French habilitation diploma, HDR (Habilitation à Diriger des Recherches) or an equivalent international academic experience. To obtain the Full Professor title, one of the conditions is to take the HDR.

*APPLICATION INSTRUCTIONS*

Applicants should submit a single PDF file that includes: - cover letter,

- curriculum vitae,

- statements of research and teaching interests (4 pages)

- three publications

- contact information for two references

*For full consideration, applications should be received no later than September 24, 2021.*

*Contacts :*

Florence d'Alché, Chair on Data Science and Artificial Intelligence for digiltalized industry and services: [email protected]

Stéphan Clémençon, S2A team & Dept. Images Data and Signals: [email protected]

*Postdoctoral researcher in Machine Learning and Natural Language

Processing* *Mission* The postdoc will be part of the TLP team of the \textit{Laboratoire Interdisciplinaire des Sciences du Numérique} (LISN, formerly LIMSI) located at the University of Paris-Saclay and will be supervised by Caio Corro (TLP, LISN) and Nadi Tomeh (RCLN, Laboratoire Informatique de Paris Nord).

The recruted postdoc will be in charge of designing neural architectures for natural language processing. In particular, we will be interested in modeling robustness to certain linguistic phenomena such as reordering.

*Activities*

- Study previous work on neural architectures motivated by expert knowledge, see for example "Group Equivariant Convolutional Networks" (Cohen, Welling)

- Propose new neural architectures motivated by language syntax in monolingual and multilingual settings

- Evaluate the proposed neural architectures on syntactic and/or semantic analysis tasks

- Participate in the supervision of two Master internships on the project's theme

The postdoc will be encouraged to publish in top-ranked conferences (NeurIPS/ICML/ICLR and *ACL/EMNLP).

*Skills* The candidate should have a PhD in machine learning and/or natural language processing. He/she should have a very good understanding of modern neural architectures commonly used in NLP (LSTM, attentional networks/transformers) and should show an interest in syntax and language typology.

The candidate is expected to have good writing and communication skills in English.

*Work context* The work will be carried out in the TLP team of LISN, located in the south of Paris, in collaboration with the RCLN team of LIPN (Northern Paris Computer Science Lab).

The LISN hosts two teams specialized in NLP including different modalities (written languages, spoken languages and sign languages) in a multidisciplinary approach (i.e. researchers in computer science and linguistics). In particular, part of the TLP team in which the candidate will work is specialized in machine learning, machine translation and syntactic analysis.

The candidate will also be an associate member of LIPN and will join the RCLN team, a member of the laboratory of excellence network EFL (Empirical Foundations of Linguistics). The research themes of RCLN are organized around syntactic and semantic analysis, but also annotation and knowledge acquisition from texts.

The researcher will benefit from an environment adapted to the pursuit of his research (equipment and access to several computing clusters). In particular, the team has access to a very large number of NVidia V100 GPUs via the Jean-Zay supercomputer.