PhD position proposal #2 on Digital Twin for Building Security Management Systems
We are open to applications to be reviewed as soon as possible, and followed by an (re- mote) interview, if accepted. Potential candidates MUST hold a Master-level degree or equivalent (e.g., a French diplome d’ing ˆ enieur ́ ) and have experience in domains related to this thesis offer (digital twin, building management systems, machine learning, model- driven engineering) as well as a strong motivation for research. The candidate SHOULD provide the following items as an application package by email to ALL points of contact:
• up-to-date resume (CV); • a copy of the latest degree (or ongoing if completion date is September 2022); • letters of recommendation, or a list of references (people that would recommend the candidate).
Incomplete packages will not be reviewed.
Contacts • Gregory Blanc ([email protected])
• Jean Leneutre ([email protected]) • Olivier Levillain ([email protected])
We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity.
The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations).
We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation.
KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022).
Offer * We offer a research position for 2 years starting September 1 or the latest October 1, 2022.
* We offer a competitive wage and yearly budget to attend conferences.
* We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching.
* Access to our deep learning cluster which contains the latest GPU hardware.
If interested,please apply the latest by August 20h, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found.
Responsibilities * Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues.
* Collaborate with the other European partners of the ANTIDOTE project.
* Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses.
Profile
* You have (or are near completion of) a master or PhD in Computer Science .
* Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa.
* You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus.
* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing.
* You are good at collaborating with others.
* You work proactively and independently and have good communication skills.
* You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian).
* You are highly motivated, ambitious and result-oriented.
For more information please contact Dr Damien Sileo mail: [email protected] or Prof. Dr. Marie-Francine Moens, mail: [email protected] with [XAI22] in your e-mail subject.
from September 19, 2022 until August 31, 2023, we are looking for a full-time computer science teacher.
Job description and application procedures: https://espaces-collaboratifs.grenet.fr/share/s/7LZxKzCBR0CNt6tAZUHbgQ
The person may, if they wish, participate in research activities within LISTIC -https://www.univ-smb.fr/listic
Submission of the application file: August 23, 2022 last deadline.
LIFO - Laboratoire d'Informatique Fondamentale d'Orléans (France), in joint collaboration with LIS Lab (UMR 7020 CNRS), has received funding from the French National Research Agency to study and develop ML techniques for analyzing multimodal underwater imaging data. We are inviting applications for the Postdoctoral Fellow position in the field of self-supervised learning, weakly supervised learning.
The fellowship will be at the University of Orléans, France and will be offered for a period of 18 months. The start date is around 11/2022.
Applications will be evaluated constantly and filled on as soon as a suitable candidate is found. Students expecting to finalise their degree in the coming months are also welcome to apply.
Link for the AD to this position: https://bit.ly/3vEGJug
GUEVARA: Visual Guides for Learning in Augmented Reality
Research team: IMT Atlantique Brest, Computer Science Department (INFO), INUIT research team
Funding: 24 months (start before January 2023)
Keywords: Augmented reality, human-computer interfaces, perception, cognitive psychology, ergonomics
Contact: Etienne Peillard ([email protected])
Job description The INUIT team (IMT Atlantique) is looking for a highly qualified young researcher with experience and motivation in the field of Augmented Reality (AR).
This position is open by IMT Atlantique Brest (France). The GUEVARA project aims at proposing visualization techniques for mixed reality adapted to spatially complex learning tasks, and in particular at exploring and proposing methods of representation and guidance with objects outside the user's field of view in AR. Presentation of the research project The principle of augmented reality (AR) lies in the fact of displaying virtual elements and real elements in a superimposed way.
Thus, it allows to add virtual elements to reality or to modify real elements, and this in a co-located way.
In such an application, the user can be surrounded by virtual elements linked to his environment. However, only the elements placed in front of him, in his field of vision, will be visible.
All the other virtual elements will be invisible as long as they are not looked at; the information which is not in the field of vision is thus not perceived. The representation of information outside the field of vision is therefore a strong challenge for AR in order to make such information perceptible.
This problem is in fact twofold. On the one hand, it is a question of representing objects that are outside the user's field of vision in order to "inform" him of their presence (Petford 2019).
On the other hand, techniques aiming not to represent objects but to guide the user's gaze can also be used (Biocca, 2007).
In this context, the objective of this project will be to propose visual guides and methods for representing objects outside the field of vision in a specific situation: that of learning procedures in augmented reality.
1. We will first rely on existing proposals in terms of AR representation, evaluating them with respect to our application case in order to highlight their shortcomings and possible improvements.
2. We will then focus on an evaluation based on cognitive psychology and ergonomics to propose representation and guidance techniques adapted to a learning task.
3. These results will finally allow us to propose a set of techniques and best practices for the development of AR learning applications.
These recommendations will be particularly suitable for an industrial use of AR, which enables learning of complex procedures (Bottani, 2019).
Research environment IMT Atlantique is a technological university and offers very competitive salary conditions, with a postdoc salary corresponding to a junior assistant professor level. Successful candidates will also benefit from 49 days of paid vacation per year.
The INUIT team focuses on immersive technological solutions and their evaluation to improve their naturalness and concentrates on the proposal or improvement of these interaction devices.
To improve this naturalness, the scientific themes are the study of immersion, research on tangible or gestural interfaces and multimodality (visual, haptic, sound).
The project is led by Étienne PEILLARD, associate professor, who joined the Lab-STICC and IMT Atlantique on December 1, 2020. He has a PhD in Computer Science, specializing in the study of the impact of mixed and augmented reality devices on perception.
Charlotte HOAREAU, associate professor at the Université Catholique de l'Ouest and associate researcher of the INUIT team will also be involved in the supervision of this project.
She has a PhD in Cognitive Psychology and specializes in the development and evaluation of ergonomic recommendations for learner guidance in procedural learning situations.
Profile of the candidate The successful candidate should have a PhD in Computer Science or Cognitive Psychology with a strong link to 3D computing. He/she should have experience in research work related to perception in virtual or augmented environments as well as expertise in software development related to these technologies. Any experience related to training or learning via immersive devices will be a plus.
How to apply Applicants should send their complete application by e-mail to project leader, including:
• A motivation letter. • Complete CV with list of publications.
• PDF of a representative article (or slide show) by the candidate related to this project.
• Letters of recommendation (preferably sent directly from the mentor).
IMT Atlantique offers a 15-month post-doc in IoT and IA in the framework of the European e-VITA project
Description and link to apply: https://institutminestelecom.recruitee.com/o/postdoctorante-ou-postdoctorant-en-fusion-de-donnees-multimodales-cdd-15-mois
The ANR Project HERELLES offers a two years Post-doctoral position Interactive multi-paradigm collaborative learning for time series analysis
The post-doctoral project aims to propose an innovative method of interactive multi-paradigm collaborative learning, which combines supervised and non-supervised methods while allowing interaction with the expert.
The candidate will propose and define novel mechanisms that allow supervised and unsupervised methods to collaborate efficiently to reach a classification consensus. The modalities of information exchange between them will have to be specified. He/she will also have to define a protocol for interaction between the user and the learning methods through the use of constraints. Finally, he/she will have to concretely implement the proposed approaches to allow their testing and validation.
Location: Saclay (AgroParisTech campus, 22 place de l'Agronomie, 91120 Palaiseau) (A location at Strasbourg can be discuted)
Duration: One year (renewable once) – starting as soon as possible
Salary: between 2500€ and 2700€ before taxes (brut) monthly according to past experience
Contact: Antoine Cornuéjols [email protected] and Pierre Gançarski, [email protected]
EXPECTED PROFILE - PhD in Computer Science and specialized in Machine Learning/Data Mining.
- Strong knowledge in Data Science and more particularly in standard classification and clustering methods. Experience in using collaborative/ensemble models or constraint integration would be a plus.
- Good verbal (English or French) and written (English) communication skills.
- Interpersonal skills and the ability to work individually or as part of a project team.
TO APPLY Send an email to [email protected] included curriculum vitae, list of publications, letter of motivation and contact details of three references. Applications will be accepted until the position is filled.