Coupling Simulation and Machine Learning for
Il y a 2 mois
**Coupling simulation and machine learning for decision aid in supply chains**:
- Réf
- **ABG-114226**
- Sujet de Thèse- 07/05/2023- Contrat doctoral- Idex université Grenoble Alpes- Lieu de travail- Grenoble - Auvergne-Rhône-Alpes - France- Intitulé du sujet- Coupling simulation and machine learning for decision aid in supply chains- Champs scientifiques- Informatique
- Sciences de l’ingénieur
**Description du sujet**:
- Simulation and machine learning are two decision support tools commonly used independently for predictive analysis. Each of these methods has advantages and disadvantages, but they are also very complementary.- The simulation models rely on in-depth knowledge of business processes. It allows to observe and to understand causal effects between the events and offers an overview of the levers by which the system can be controlled. This provides the user with some transparency and explainability of the results obtained by these techniques. One of the advantages of simulation is that it does not require lots of input data to predict a future state of the system it models. As a consequence, it can be applied to cases where the data are missing or insufficient. However, the construction and the exploitation of the simulation models are time consuming. Even though the quantity of data is small, the models need to test lots of scenarios in order to capture as much relevant information on the system as possible. An important problem is then to be able to define the most interesting scenarios to test for the analysis. Nowadays, in most industries, these scenarios are defined using the judgement and the expertise of professionals, but they do not include all the scenarios that are potentially promising. In this context, the techniques of machine leaning can help to define the initial potentially promising scenarios to increase the efficiency [1, 2].- Contrary to the simulation, machine learning is a data centric approach. It is able to learn and to predict future data using exclusively information about what has already happened or is about to happen. The quality of data used is then critical: if the data include errors or bias, or if they are not representative of the future data or incomplete, the reliability of the predictions provided by machine learning is affected. Furthermore, machine learning can be seen as a black box. It provides a predictive analysis without explanations on how the learning algorithm determines the results. In this case, the simulation can be used, for example, to validate the recommendations provided by the learning method and to explain the results. It can also be useful to generate missing data of a data base in order to reduce the potential bias (e.g. for rare events).-
[1]
M. S. S. R. B. C. G. J. von Rueden L., Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions, vol. 12080, C. Springer, Éd., Berthold M., Feelders A., Krempl G. (eds) Advances in Intelligent Data Analysis XVIII. IDA 2020. Lecture Notes in Computer Science., 2020.
[2]
D. Ivanov et A. Dolgui, A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0, vol. 32:9, T. &. Francis, Éd., Production Planning & Control, 2021, pp. 775-788.
**Main Tasks**:
- A state of the art on the simulation and machine learning algorithms is expected. This literature review should help to enumerate the complementary characteristics of these two approaches.
- Design and development of models and algorithms
- Analysis of the performance of the coupling approaches and the limits of the proposed methods
**Nature du financement**:
- Contrat doctoral**Précisions sur le financement**:
- Projet MIAI**Présentation établissement et labo d'accueil**:
- Idex université Grenoble AlpesOne of the major research-intensive French universities, Univ. Grenoble Alpes** enjoys an international reputation in many scientific fields, as confirmed by international rankings. It benefits from the implementation of major European instruments (ESRF, ILL, EMBL, IRAM, EMFL* ). The vibring ecosystem, grounded on a close interaction between research, education and companies, has earned Grenoble to be ranked as the 5th most innovative city in the world. Surrounded by mountains, the campus benefits from a natural environment and a high quality of life and work environment. With 7000 foreign students and the annual visit of more than 8000 researchers from all over the world, Univ. Grenoble Alps is an internationally engaged university.
A personalized Welcome Center for international students, PhDs and researchers facilitates your arrival and installation.
Key figures:
- + 50,000 students including 7,000 international students
- 3,700 PhD students, 45% international
- 5,500 faculty members
- 180 different nationalities
- 1st city in France where it feels good to study and 5th city where it feels good to work
- ISSO: International Students & Sch
-
Cmos/spintronics Co-design of a Coupling Chip for
Il y a 2 mois
Grenoble, France CEA - Commissariat à l'Energie Atomique Temps plein**General information**: **Organisation **:The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas: - defence and security, - nuclear energy (fission and fusion), - technological research for industry, - fundamental research in the physical sciences and life...
-
Machine Learning Research Scientist for Robotics
il y a 2 semaines
Grenoble, France NAVER LABS Europe Temps plein**What we do**: The Robot Learning team aims at endowing mobile manipulators with generic learning systems to make them able to perform diverse complex physical tasks in a safe, robust and versatile manner. Our learning systems are based on multimodal foundation models, allowing multi-level sequential reasoning, continual self-improvement and incorporation...
-
Hierarchical Multi-agent Reinforcement Learning for
il y a 2 semaines
Grenoble, France NAVER LABS Europe Temps pleinNAVER LABS Europe’s Action Group is focussed on enabling embodied agents to efficiently execute complex tasks and navigate in dynamic environments. Within the Optimization With Learning (OWL) team of the Action group, the intern will focus on the optimization of a fleet of robots. Those robots must perform a set of tasks associated with specific locations,...
-
Research Scientist, Computer Vision and Machine
il y a 6 jours
Grenoble, France Google Temps pleinGoogle welcomes people with disabilities. **Minimum qualifications**: - PhD in Computer Science, a related field, or equivalent practical experience. - Experience with Machine Learning libraries (e.g., TensorFlow, PyTorch, JAX). - Experience in C++ or Python. **Preferred qualifications**: - Experience in research agendas in the fields of computer vision...
-
Retrieval Augmented Machine Learning
il y a 4 semaines
Grenoble, France NAVER LABS Europe Temps pleinNAVER LABS is the R&D arm of NAVER, Korea’s leading internet company. Its world-class researchers in Korea and Europe create new connections between people, machines and spaces by advancing technology in AI and robotics. NAVER LABS Europe is the biggest industrial research lab in AI in France and conducts advanced research in Machine Learning, Computer...
-
Master By Apprenticeship in Data Lake and Ai for
il y a 3 semaines
Grenoble, France CEA - Commissariat à l'Energie Atomique Temps plein**Domaine**: Mathématiques, information scientifique, logiciel **Contrat**: Alternance **Durée du contrat (en mois)**: 10 **Description de l'offre**: The past 10 years, technological advances in DNA sequencers have enabled the generation of large amounts of genomic data stored in public data repositories. Research projects seeking to take advantage of...
-
Talent Growth and Continuous Learning Officer
il y a 2 semaines
Grenoble, France Renaissance Fusion Temps pleinWe are looking for an energetic and passionate Talent growth and continuous learning officer to manage the design, development and implementation of innovative initiatives to foster talent growth and continuous learning within our organization. **Your main responsibilities will be**: Design of Staff Development Programs: - Work closely with managers to...
-
Simulation Engineer
il y a 4 semaines
Grenoble, France Verkor Temps plein**About this role**: - We are currently looking for our future Simulation Engineer to join our Logistics Process Team ! This job is located in our Innovation Center based in Grenoble (France). **Main responsibilities**: - Ability to develop new system simulation frameworks, performance models and algorithms, threat models and command and control models. -...
-
Simulation Engineer
il y a 2 jours
Grenoble, France Verkor Temps plein**About this role**: - We are currently looking for our future Simulation Engineer to join our Logistics Process Team ! This job is located in our Innovation Center based in Grenoble (France). **Main responsibilities**: - Ability to develop new system simulation frameworks, performance models and algorithms, threat models and command and control models. -...
-
Master By Apprenticeship in Data Lake and Ai for
il y a 3 semaines
Grenoble, France CEA Temps pleinDescription du poste **Domaine**: - Mathématiques, information scientifique, logiciel **Contrat**: - Alternance **Durée du contrat (en mois)**: - 10 **Description de l'offre**: - The past 10 years, technological advances in DNA sequencers have enabled the generation of large amounts of genomic data stored in public data repositories. Research...
-
Simulation Numérique de L'impression 3D de
Il y a 2 mois
Grenoble, France CEA - Commissariat à l'Energie Atomique Temps plein**Domaine**: Matériaux, physique du solide **Contrat**: Post-doctorat **Intitulé de l'offre**: Simulation numérique de l'impression 3D de composants bi-métalliques H/F **Sujet de stage**: Simulation numérique de l'impression 3D de composants bi-métalliques **Durée du contrat (en mois)**: 24 mois **Description de l'offre**: This position will take...
-
Electromechanical-mechanical Modelling Engineer
il y a 2 semaines
Grenoble, France Verkor Temps pleinVerkor is a French industrial company aiming to pioneer low-carbon battery manufacturing in France. With the backing of prominent industrial companies such as Renault Group, Plastic Omnium and Schneider Electric, Verkor intends to electrify the future of European mobility. With over 200+ experts from 29 different countries, our endeavor is to unite...
-
Grenoble, France ESRF Temps pleinContext & Job description Scanning X-ray techniques are among the most widely used at ESRF, notably for spectroscopy applications, providing rich spatial and elemental information on a large variety of samples (cultural heritage, batteries, metallurgy, semi-conductors, etc..). The ESRF ‘Extremely Brilliant Source’ upgrade has led to an increase in...
-
Grenoble, France ESRF Temps pleinContext & Job description Scanning X-ray techniques are among the most widely used at ESRF, notably for spectroscopy applications, providing rich spatial and elemental information on a large variety of samples (cultural heritage, batteries, metallurgy, semi-conductors, etc..). The ESRF ‘Extremely Brilliant Source’ upgrade has led to an increase in...
-
Quantitative Researcher, Deep Learning
Il y a 2 mois
Grenoble, France TrailStone Group Temps plein**Grenoble Office | On-site Working | Full-time Role** **About the Role** Trailstone seeks to advance the scientific frontiers of forecasting power production for wind and solar parks. As a Quantitative Researcher working at the intersection of deep learning and meteorology, you will play a central role in our mission of making sustainable energy...
-
Quantitative Researcher, Deep Learning
il y a 2 semaines
Grenoble, France TrailStone Group Temps plein**Grenoble Office | On-site Working | Full-time Role** **About the Role** Trailstone seeks to advance the scientific frontiers of forecasting power production for wind and solar parks. As a Quantitative Researcher working at the intersection of deep learning and meteorology, you will play a central role in our mission of making sustainable energy...
-
Simulation Automation Engineer
Il y a 2 mois
Grenoble, France McPhy Temps pleinJoining the McPhy team means taking part in an **exciting human and professional adventure** in a rapidly growing group. In today’s world full of technological, environmental and social transformations, **our ambition is to play a part in rolling out zero-carbon hydrogen as a solution to climate change**, and to help build a **social model which is more...
-
Grenoble, Auvergne-Rhône-Alpes, France ESRF Temps pleinContext & Job Description Scanning X-ray techniques are widely used at ESRF for spectroscopy applications, offering rich spatial and elemental information on various samples like cultural heritage, batteries, metallurgy, and semi-conductors. The recent upgrade to the ESRF 'Extremely Brilliant Source' has increased experiment throughput, necessitating more...
-
Gnss System Engineer And Jamming
il y a 3 jours
Grenoble, Auvergne-Rhône-Alpes, France CEA Temps pleinOnce confined to very specific applications, satellite navigation systems, also known as GNSS (Global Navigation Satellite Systems), are now widespread and can BE found in numerous devices, including some sensitive systems such as autonomous vehicles and military applications. Alongside the rapid expansion of this technology, the frequency and complexity of...
-
Modèles Système Pour La Simulation Cem
il y a 2 semaines
Grenoble, France Université Grenoble Alpes Temps plein**Modèles système pour la simulation CEM multi-échelle // System Level models for Multiscale EMC simulation**: - Réf **ABG-124557** **ADUM-58096** - Sujet de Thèse- 11/06/2024- Université Grenoble Alpes- Lieu de travail- Grenoble cedex 1 - France- Intitulé du sujet- Modèles système pour la simulation CEM multi-échelle // System Level models for...