Job offers

Phd position at IECL: Simultaneous model and pattern learning in spatial data. Application to the statistical analysis of the mixing dynamics of geological fluids

March 2019

CIFRE PhD Position at PSA

Doctoral position at Inria Sophia-Antipolis - Warning: the deadline to apply is April 10, 2019 instead of April 17, 2018 as stated in the document.

Doctoral positions at LUE (Lorraine), OLKi project

Doctoral position at UC Louvain: High-dimensional graphical models: Estimation and Inference

Temporary position at CNRS: data analyst

Call for PhD Applications

Marie Skłodowska-Curie – ITN, Industrial Doctorate program

PHILHUMANS Project

We are starting a new project funded by the European Union’s Horizon 2020 research & innovation programme under the Marie Skłodowska-Curie – ITN, Industrial Doctorate program.

The project is titled PHILHUMANS: Personal Health Interfaces Leveraging Human-MAchine Natural interactionS, and it has 8 PhD positions in the areas of Computational Intelligence, Computer Vision, and Natural Language Processing.

Highly competitive and attractive salary is offered (it meets the EU Marie Skłodowska-Curie standards), plus mobility and family allowances as applicable.

See the list of PhD positions below.

The following two positions will be hosted at the University of Catania:

ESR5 - SCENE UNDERSTANDING AND INTERACTION ANTICIPATION FROM FIRST PERSON VISION

Hosted by University of Catania and Philips - PhD awarded by University of Catania, IT

Details: https://www.philhumans.eu/esrs/esr-5

ESR6 - FACE ANALYSIS AND BODY LANGUAGE UNDERSTANDING FROM EGOCENTRIC CAMERAS

Hosted by University of Catania and Philips - PhD awarded by University of Catania, IT

Details: https://www.philhumans.eu/esrs/esr-6/

The ESR candidates should have a Master degree in Computer Science, Information Engineering or equivalent. Traveling will be part of the program, substantial secondments to partner locations are planned. Candidates are required to meet the Marie Sklodowska-Curie Early Stage Researcher eligibility criteria. In particular, at the time of the appointment, candidates must have had less than four years full-time equivalent research experience and must not have already obtained a PhD. Additionally, at the time of recruitment, the ESR must not have resided, or carried out his/her activity in the country of the hiring institution for more than 12 months in the 3 years prior to recruitment date.

The application procedure will be formally opened in the beginning of January. Main entry point to send applications is the PHILHUMANS website http://www.philhumans.eu

More information about the program, the open positions and hosting organizations is available on the website of the project: http://www.philhumans.eu

_ AVAILABLE PhD POSITIONS _

ESR1 - COMPUTATIONAL INTELLIGENCE FOR BEHAVIOR UNDERSTANDING

Hosted by Philips - PhD awarded by University of Aberdeen, UK

Details: https://www.philhumans.eu/esrs/esr1

ESR2 - A CONVERSATIONAL AGENT AS A DIGITAL COUNSELLOR FOR AUTOMATED THERAPY

Hosted by Philips - PhD awarded by University of Cagliari, IT

Details: https://www.philhumans.eu/esrs/esr-2

ESR3 – DEEP PROGRAM INDUCTION FOR PERSONAL HEALTH SERVICES

Hosted by TU/e and Philips - PhD awarded by University of TU/e, NL

Details: https://www.philhumans.eu/esrs/esr-3/

ESR4 - NLP, SEMANTICS AND SENTIMENT ANALYSIS FROM TEXT

Hosted by University of Cagliari and Philips - PhD awarded by University of Cagliari, IT

Details: https://www.philhumans.eu/esrs/esr-4/

ESR5 - SCENE UNDERSTANDING AND INTERACTION ANTICIPATION FROM FIRST PERSON VISION

Hosted by University of Catania and Philips - PhD awarded by University of Catania, IT

Details: https://www.philhumans.eu/esrs/esr-5

ESR6 - FACE ANALYSIS AND BODY LANGUAGE UNDERSTANDING FROM EGOCENTRIC CAMERAS

Hosted by University of Catania and Philips - PhD awarded by University of Catania, IT

Details: https://www.philhumans.eu/esrs/esr-6/

ESR7 - NATURAL LANGUAGE GENERATION FOR PERSONALISED HEALTH COMMUNICATION Hosted by University of Aberdeen and Philips - PhD awarded by University of Aberdeen, UK

Details: https://www.philhumans.eu/esrs/esr-7

ESR8 - BUSINESS ECONOMICS AND ROBOTICS

Hosted by R2M Solutions - PhD awarded by University of Cagliari, IT

Details: https://www.philhumans.eu/esrs/esr-8

PhD Position: Wasserstein embeddings for language model visualization and document clustering (Saint-Etienne)

February 2019

2 vacant PhD positions at Skoltech Moscow

January 2019

Data Scientist at TKM

December 2018

Thèse CIFRE au LNE : Traitement d’incertitude associée à la segmentation et la complétion d’images par algorithmes d’apprentissage profond : application à la mesure par images MEB de nanoparticules

Thèse financée dans le cadre de l'ANR VISCAP

Acteurs : Le laboratoire de Mathématiques de l'université de Savoie Mont-Blanc avec Didier Bresch L'INRIA de Bordeaux (Equipe Cardamom) avec Mathieu Colin et Mario Richiuto, Le LCTS avec Guillaume Couégnat et Gérard Vignoles

Dates : Début de thèse en septembre 2019 au LAMA université Savoie Mont-Blanc

Stage M2R au printemps 2019 pour lequel un financement peut être obtenu au sein du LAMA université Savoie Mont-Blanc.

Sujet : En raison de leur grande résistance et de leur faible poids, les matériaux composites à matrice céramique auto-cicatrisantes sont l'objet d'une recherche active pour les applications aérospatiales et énergétiques impliquant des températures élevées. En particulier, les pièces chaudes dans les hélices de réaction d'avions civils sont des composants cibles de cette classe de matériaux, car ils sont nettement plus légers que les alliages métalliques et ils peuvent permettre un fonctionnement à plus hautes températures, réduisant ainsi le coût et l'impact de l'aviation civile sur l'environnement.

L'objectif de la thèse est d'apporter une expertise mathématique dans le cadre de la modélisation, de l'analyse des modèles et de la simulation du processus de cicatrisation en présence de fissures. Le sujet fait appel à l'état de l'art actuel mathématique concernant la propagation d'interfaces en présence d'interactions chimiques mais inversement travailler sur un sujet en interaction avec d'autres disciplines permettra sans nul doute de développer de nouvelles mathématiques autour de la dynamique de surfaces.

Il est bien évident que l'évolution du travail plus ou moins théorique et/ou plus ou moins numérique dépendra des attentes et des qualités du ou de la candidat-e au fur et à mesure du déroulement de la thèse.

Le-la candidat-e intéressé-e peut nous contacter avant fin décembre 2018 pour discuter plus à même du sujet et de l'environnement scientifique.

Contact: Didier Bresch didier.bresch@univ-smb.fr

September 2018

October 5, 2018

European Forum on employment for PhD holders

August 2018

Data Scientist position at CEREMA, Lyon

July 2018

PhD positions at LIG lab.

LIG lab, in Grenoble, has two open PhD positions that combine Machine Learning with Test Automation based on models.

These positions are funded by the PHILAE project in collaboration with Australia, Norway, and 2 partners from industry.

position in Machine Learning and Software Test Automation
PhD position in Machine Learning and Software Engineering

If you are interested, please contact:

Christophe Brouard christophe.brouard@univ-grenoble-alpes.fr
AND
Roland Groz roland.groz@univ-grenoble-alpes.fr

PhD position: Cobotic in industrial environment for agile de- and re- manufacturing

Subject description A PhD position is now available at University of Grenoble Alpes (France) in “Cobotic in industrial environment for agile de- and re- manufacturing”. The candidate will be involved in the Circular project*. The PhD Thesis will focus on safety of the operators when they cooperate with industrial robots in a common workspace. It will explore the different aspects related to safety of the operators and cooperation with industrial robots: (i) regarding 3D perception to monitor the common workspace and (ii) regarding control, the industrial robot must be able to integrate constraints provided by the perception and adapt its behavior to these constraints. Finally, perception and control will be integrated on a demonstrator to show that the combination of these two streams of research will allow to provide the necessary level of safe workspace sharing required for de- and re- manufacturing.

More information are available at: https://circular.univ-grenoble-alpes.fr/medias/fichier/fiche-navette-doctorant-idex-circular-aycard_1523030804900-pdf.

Requirements The position is open to candidates with Master in artificial intelligence (machine learning/probabilistic models/algorithms), robotics, perception and control. English is required and French is a plus. ROS knowledge is a plus.

Contract The open position is a 3 years Phd fellowship with competitive salary.

Expected starting date: October 1st 2018

Deadline of applications: July 31st, 2018.

Address to send their application: aycard@imag.fr, pierre-brice.wieber@inria.fr

Context

The CIRCULAR project is a 3.5 years Cross Disciplinary Project (https://circular.univ-grenoble-alpes.fr/), funded by IDEX Grenoble (https://www.communaute-univ-grenoble-alpes.fr/en/) for an amount of 1.45 Million Euros.

The CIRCULAR project aims at developing reliable circular industrial systems able to transform post-used products into new added-value products.

Industrial systems will have to face the main Industry of the Future challenges: resource scarcity, energy efficiency, customization expectations, job quality required by the fourth industrial revolution, etc. This project will show that agile circular industrial systems will give companies the ability to satisfy those requirements while proposing new high-added-value products while minimizing the use of material and energy resources. We want to move towards a circular economic “take-make-consume-reuse” model instead of a classical linear “take-make-consume-dispose” model. The main scientific obstacles are production systems agility, human/ machine collaboration, implementation of the numerical solutions and design and implementation of the new necessary organizations.

In this framework, the project consortium has the strong ambition to develop a sustainable multidisciplinary research and industrial network to address the circular industrial system issues at local, national and international levels. The objective is to launch several ambitious projects with the main renowned international universities in the field and the relevant industrial networks.

Voilà une annonce qui pourrait intéresser des étudiants en Master de votre groupe : https://www.jobbnorge.no/ledige-stillinger/stilling/155540/phd-research-fellowship-position-within-computational-geosciences

Le CINES recrute en CDD un Ingénieur de Recherche expert en calcul scientifique contractuel. Le poste à pourvoir dès que possible et pour une durée d’un an (renouvelable). Le profil du poste et les conditions de rémunération sont consultables ici : https://www.cines.fr/annonces/recrutement-et%20-stages/ Les candidatures sont à faire parvenir par courriel à contact-admin@cines.fr ou par courrier postal à M. le Directeur du CINES.

Olivier Rouchon olivier.rouchon@cines.fr 04.67.14.14.14 Responsable Département Calcul Intensif Centre Informatique National de l'Enseignement Supérieur 950 Rue de Saint Priest - 34097 Montpellier Cedex 5 - France http://www.cines.fr/

Data Analyst at Boehringer Ingelheim, Toulouse. Contact: Daniel.PIALOT@boehringer-ingelheim.com

June 2018

PhD position: 2018-00761 - Hierarchical generalized linear models for analyzing plant diversity : application to rice diversity, IMAG / AGAP, Montpellier.

PhD position: 2018-00761 - Computational developments for integrative structural biology : small-angle scattering using polynomial expansions, Inria, Grenoble

PhD position: LIDAR and spectral data segmentation and classification for autonomous vehicles simulation, ARMINES / MINES ParisTech PhD 2018

May 2018

CEMEF PhD offers: http://www.cemef.mines-paristech.fr/sections/postuler-au-cemef/copy_of_doctorats-cemef

https://jobs.atos.net/job/grenoble/expert-machine-learning-performance-h-f/5343/6893141

PhD Position: Efficient synthesis of controllers using symbolic models

Supervisor: Antoine Girard (Antoine.Girard@l2s.centralesupelec.fr / https://sites.google.com/site/antoinesgirard/) Location: Gif-sur-Yvette (Paris area), France Laboratoire des Signaux et Systèmes - L2S (http://www.l2s.centralesupelec.fr) Institution: CNRS – CentraleSupélec – Univ. Paris-Sud – Univ. Paris-Saclay Duration: Three years, starting fall 2018 Position fully funded by European project (ERC consolidator) PROCSYS

Context and Objectives

Cyber-physical systems (CPS) consist of computational elements monitoring and controlling physical entities. The main objective of the PROCSYS project is to propose a general framework for the design of programmable CPS that will allow engineers to develop advanced functionalities using a high-level language for specifying the behaviors of a CPS while abstracting details of the dynamics. Controllers enforcing the specified behaviors will be generated from a high-level program using an automated model-based synthesis tool. Correctness of the controllers will be guaranteed by following the correct by construction synthesis paradigm through the use of symbolic control techniques [1,2]: the continuous physical dynamics is abstracted by a symbolic model, which is a discrete dynamical system; an interface consisting of low-level controllers is designed such that the physical system and the symbolic model behaves identically; a high-level symbolic controller is then synthesized automatically from the high-level program and the symbolic model.

Work description

We will develop efficient controller synthesis techniques based on incremental exploration of the dynamics of the symbolic model, which can be computed on the fly while synthesizing the controller. This has been the approach developed in our preliminary work [3], which has demonstrated significant improvements in terms of scalability for safety specifications and deterministic symbolic models. The main idea is to define priorities on the transitions of the symbolic model and explore the transitions with higher priority first. The transitions of lower priority are only explored if the control specification cannot be met with the former transitions. In the PhD thesis, we will develop efficient controller synthesis algorithms, which extend the work above in the following directions: 1. Non-deterministic symbolic models, extending the applicability of the approach to a broad class of systems 2. General specifications defined in the high-level language developed within the PROCSYS project, describing rich and complex behaviors 3. Additional synthesis objectives (timing constraints, quantitative performance criteria, robustness) Applications to case studies, e.g. in the field of autonomous driving will be considered.

Background of the candidate

The candidate must hold a Master in control theory, applied mathematics or computer science with a strong mathematical background. Programming skills are also needed.

References

[1] Belta, C., Yordanov, B., & Gol, E. A. (2017). Formal Methods for Discrete-Time Dynamical Systems (Vol. 89). Springer. [2] Tabuada, P. (2009). Verification and control of hybrid systems: a symbolic approach. Springer Science & Business Media. [3] Girard, A., Gössler, G., & Mouelhi, S. (2016). Safety controller synthesis for incrementally stable switched systems using multiscale symbolic models. IEEE Transactions on Automatic Control, 61(6), 1537-1549. https://hal.archives-ouvertes.fr/hal-01197426v2/document

Nous sommes à la recherche de candidats pour une thèse CIFRE avec STMicroelectronics de Crolles

Proposition de sujet de Thèse Cifre : developpement d'une strategie hybride geometrique-topologique pour l'optimisation de forme en ecoulement compressible et tournant (CFD-Numerics)

April 2018

PhD position at ENS Lyon

PhD position at BioSP, INRA, Avignon

PhD position at IECL / LORIA

General context

Over the last twenty years, an increasing attention has been paid to recommender systems, widely popularized by the Netflix Challenge. The main goal of a recommender system is to provide some users, with personalized products, taking into account their profile and preferences.

Recent challenges are about the recommendation of products very complex to describe : jobs, partners… Their characteristics can mix heterogeneous features: quantitative (as ratings) and/or qualitative (as reviews).

Moreover, new questions are emerging about explainability of algorithms. Nowadays, Artificial Intelligence algorithms are democratized in our erveyday life, and consumers want to understand the decision resulting from these algorithms (why this decision and not another one ?) as well as quantify the importance of each factor (element) in the decision process (which element is the most important/sensitive). They require more explainability of AI algorithms.

In addition, the new European legislation on data protection foresees to impose more transparency to Artificial Intelligence algorithm. The law envisages to make compulsory the agreement of users for using personal data, which will reduce the amount of data that can be collected about users. The customer will also have to be informed about the way their personal data is used. From the algorithms point of view, the decrease of data will impact the quality of the recommmendations.

All these changes, will impact shortly and significantly the design of algorithms. In this thesis, we aim at designing and implementing new explainable and transparent recommender systems for complex products, in the frame of data sparsity.

Scientific challenges and program

The challenges are four fold :

Definition, in a quantitative way, of the concept of transparency, and develop statistical methods to automatically quantify the transparency degree of an algorithm.
Classification of recommender systems from the literature, from the transparency point of view and/or robustness degree with respect to missing data
Conception of new hybrid and explainable recommender systems, robust to sparse data. The products being complex, the heterogeneous descriptions of the products, as well as the multi-sources of information, will be used to construct understandable explanation. Especially, natural language processing, and hybrid (content/social) approaches will be studied. The algorithms will also be able to quantify the weights and the sensitivity of each factor in the final decision.
Constitution of data sets, allowing to evaluate transparency of recommender systems

Application

The application should include a brief description of research interests and past experience, a CV, degrees and grades, a copy of Master thesis (or a draft thereof), motivation letter (short but pertinent to this call), relevant publications (if any), and other relevant documents. Candidates are encouraged to provide letter(s) of recommendation or contact information to reference persons. Please send your application before 12 May 2018 in one single pdf to : armelle.brun@univ-lorraine.fr marianne.clausel@univ-lorraine.fr The application of the preselected candidates will be reviewed by the Doctoral School IAEM of University of Lorraine in June 2018 for completing the selection process.

Practical informations

Duration: 3 years (full time position) Starting date: October, 2018

Supervisors

A. Brun, University of Lorraine/LORIA, France, https://members.loria.fr/ABrun/ M. Clausel, University of Lorraine/IECL, France, https://sites.google.com/site/marianneclausel/

Working Environment

The PhD candidate will work between the Probability and Statistic team of the IECL lab and the KIWI Team of the LORIA lab which are two leading institutions, respectively in Mathematics and Computer Science in France. The two labs are both located at Nancy, France on the same campus.

The Probability and Statistic team of IECL is working on interdisciplinary projects involving probabilistic modeling and inference methods, with a focus on many applications as textual datas, biology, spatial datas…

The KIWI team of LORIA is a dynamic group working on recommender system and connected scientific domains over 20 researchers (including PhD students) and that covers several aspects of the subject from theory to applications, including statistical learning, data-mining, and cognitive science. Location : Nancy, which is the capital of Lorraine in France, with excellent train connection to Luxembourg (1h30) and Paris (1h30). Salary after taxes: around 1600 euros.

Position as research engineer at Institut Carnot

PhD Position at University of Luxembourg :
Data Analytics for Fraud Detection in Personalized Insurance

PhD Position at Institut de Mécanique des Fluides, Toulouse :
Poromechanics of heterogeneous tissues: a study of osteosarcoma

Le Carnot SMILES est un institut public de recherche (SU, UPD, CNRS) spécialisé en modélisation mathématique, simulation numérique, optimisation, et science des données, tourné vers la recherche partenariale avec les entreprises. Il rassemble des équipes pluridisciplinaires (mécanique des structures et des fluides, acoustique, biologie, chimie, électronique, physique…) autour des mathématiciens (modélisation, analyse numérique, optimisation, statistiques, probabilités), afin d'apporter une réponse globale aux défis technologiques complexes des entreprises.

visit: http://www.carnot-smiles.fr/recrutement/

L'équipe TADaaM de Bordeaux propose une thèse en calcul haute performance intitulée Data Placement Strategies for Heterogeneous and Non-Volatile Memories in High Performance Computing Tous les détails et le lien pour candidater sont disponibles sur cette page https://jobs.inria.fr/public/classic/en/offres/2018-00386

Several PhD positions are available within the Laboratori de Càlcul Numeric (LaCàN) at Universitat Politècnica de Catalunya - BarcelonaTech. The projects belong to the line of investigation on high-fidelity numerical methods and reduced order models for complex industrial problems. They are funded within the framework of the Spanish national project CrediblE “Data assimilation for Credible Engineering simulations” and the H2020 Marie Sklodowska-Curie ITN ProTechTion “Industrial decision-making on complex Production Technologies supported by simulaTion-based engineering”. Fields of application include computational fluid dynamics, nonlinear mechanics, electromagnetism and inverse problems in computational geoscience. The prospective PhD students will integrate a very active research group of experts in numerical methods and computational mechanics. The supervisory team will include Prof. A. Huerta, Prof. P. Díez, Dr. S. Zlotnik, Dr. A. García-González and Dr. M. Giacomini.

Prerequisites: knowledge of numerical approximation of PDEs and finite element method; good programming skills (Matlab and/or Fortran); hard-working and enthusiastic attitude; commitment to develop high-quality research.

Starting date is flexible during 2018.

Applications should include CV, cover letter and the contact information of at least two references. Deadline for applications is April 30th, 2018. Evaluation of applications will begin May 2nd, 2018 although the positions will remain open until suitable candidates are identified.

For inquiries and applications, please refer to Dr. M. Giacomini (matteo.giacomini@upc.edu). https://www.lacan.upc.edu/node/904

March 2018

The CREATIS laboratory (Lyon, France) opens a PhD fellowship on the topic of region-of-interest (ROI) computed tomography (CT) reconstruction for dose reduction: https://www.creatis.insa-lyon.fr/site7/fr/node/46603

Location: CREATIS, Léon Bérard cancer center, Lyon, France Net salary: 1400 € / month (funded by http://www.agence-nationale-recherche.fr/) Duration: 36 months

PhD position in machine learning at ST Microelectronics (Grenoble).

Sujet de thèse au CEA - LETI (Grenoble), co-encadré à l'EMSE. Le travail porte sur la métamodélisation et l'optimisation numérique en présence de paramètres quantitatifs et qualitatifs.

February 2018

PhD Position at IRSTEA, Grenoble

Ingénieur de recherche (CDI) à l'INRA

PhD Proposal: UMREA, Mesure acoustique sur smartphone : contrôle qualité des données. Etat de l’art, étude préliminaire et prospective

January 2018

PhD proposals by Alban Pothérat, Professor of Fluid Mechanics Applied Mathematics Reasearc Centre, Coventry University, (UK) see: http://www.coventry.ac.uk/research/research-students/research-studentships/the-non-linear-states-of-convection-in-the-earth-core/

Internship : Nous avons le plaisir de proposer deux offres de stage très bien rémunérées en apprentissage pour l'imagerie médicale à Sophia Antipolis (06) en commun entre l'équipe EPIONE d'INRIA (auparavant ASCLEPIOS) et l’entreprise Median technologies. Ces offres pourront mener à une embauche dans l'entreprise MEDIAN ou à une thèse Cifre en collaboration:

https://team.inria.fr/epione/files/2011/07/Offer_intersnhip_Median_Inria.pdf

Position: 2 Joint Median/Inria M2 Internships (up to 6 months)

Title: Imaging Phenomics using Deep Learning for the Automatic Analysis of Liver Lesions in Medical Imaging Data

Profile: * MSc in computer science or applied mathematics * Motivated by the artificial intelligence revolution and eager to work in the medical field, considered as one of the field where AI will have the largest impact * Good Knowledge of Machine Learning and Statistical Analysis, Familiar with standard Deep Learning architecture, good coding skills in Python * Fluent in English (Reading, Writing, Speaking) * High general scientific culture and research spirit, eager to learn and take initiatives

Contact: * Send you Vitae and motivation letter to Xavier .Pennec@inria.fr, Herve.Delingette at Inria.fr and estanislao.oubel@mediantechnologies.com

Offre de thèse au CEA-Saclay, sur :

“Couplage multi-modèles en dynamique rapide avec interaction fluide-structure pour des écoulements complexes calculés par une approche volumes-finis”.

Vous trouverez le descriptif du sujet et les informations pratiques sur le lien suivant : http://www-instn.cea.fr/formations/formation-par-la-recherche/doctorat/liste-des-sujets-de-these/couplage-multi-modeles-en-dynamique-rapide-avec-interaction-fluide-structure-pour-des-ecoulements,18.html

The 7th edition of online Jobdating “Métiers de la Data” (data science jobs), organized by Seekube, will be held from February 7 to 16.

November 2017

L'IGE (Institut des Géosciences de l'Environnement, http://www.ige-grenoble.fr/) et GRICAD (mésocentre de Grenoble, http://gricad.univ-grenoble-alpes.fr/) propose un poste d'IR Calcul Scientifique dont le profil est accessible ici :

https://mobiliteinterne.cnrs.fr/afip/owa/consult.affiche_fonc?code_fonc=C58008&type_fonction=&code_dr=11&code_bap=E&code_corps=IR&nbjours=&page=1&colonne_triee=1&type_tri=ASC

The Applied Mathematics Graduate Group at UC Merced invites applications for two Visiting Assistant Professor positions for AY 2018-2019. This special (non-tenure track) position requires successful candidates to conduct research and teach 3 courses per academic year; the position is renewable for up to 3 years based on performance and subject to funding. A Ph.D. or equivalent in Applied Mathematics, Mathematics or a related field is required by the time of hire. We are seeking exceptionally qualified candidates with expertise in areas across the field of applied mathematics. Special attention will be paid to applicants who can collaborate with researchers in applied mathematics and other fields in natural sciences, engineering and/or social sciences at UC Merced. Interested candidates should apply online at https://aprecruit.ucmerced.edu/apply/JPF00548 For more information about the position please contact Prof. Mayya Tokman at mtokman@ucmerced.edu.

https://sites.google.com/site/codpleray/Downhome/News/recrutementingenieurmaturation12mois “L’objectif de ce projet de maturation est de consolider notre librairie logicielle PILGRIM concernant l’apprentissage des réseaux bayésiens dynamiques, de développer une couche applicative dédiée au Process Mining s’appuyant sur ces outils, et de proposer une solution logicielle générique répondant aux demandes du marché, en favorisant l’essaimage potentiel d’une start-up consacrée à l’exploitation de cette solution. ”

Araxxe (Lyon) search for statistician: https://www.indeed.fr/voir-emploi?t=statisticien+hf&jk=6512311689d08e71&_ga=2.125800202.1682474184.1510216575-1832409491.1506687829

Doctoral student position for tree and forest modelling open at TUT (Finland)

October 2017

Poste d'ingénieur de recherches en CDD pour 3 ans au CMAP (Ecole Polytechnique) pour travailler sur le développement d'un logiciel d'optimisation de structures en lien avec la fabrication additive. Voir : http://www.cmap.polytechnique.fr/~allaire/engineer.html

Le Cerfacs ouvre un poste d’ingénieur HPC pour renforcer ses actions dans le domaine. Le poste est à pourvoir pour 12 mois renouvelable à Toulouse. Vous pouvez postuler en nous contactant par mail monnier@cerfacs.fr. Niveau Minimum Requis : PhD ou Ingénieur Contacts : Nicolas Monnier, DSI, monnier@cerfacs.fr - Isabelle d’Ast, dast@cerfacs.fr & Gabriel Staffelbach, Gabriel.Staffelbach@cerfacs.fr. Ingénieurs HPC. Dates et lieu : Poste à pourvoir au Cerfacs à Toulouse à partir de décembre 2017 pour une durée de 12 mois.

2-year postdoc position within project FACTORY (New paradigms for latent factor estimation), funded by the European Research Council under a Consolidator Grant. Full announcement available at http://projectfactory.irit.fr/announcement.pdf

September 2017

PhD Position at National Centre for Meteorological Research, Toulouse, France

Title : Object processing of convective-scale model outputs

Supervisors : Dr Laure Raynaud, Dr Philippe Arbogast, Dr Etienne Mémin (HDR)

laure.raynaud@meteo.fr, philippe.arbogast@meteo.fr, etienne.memin@inria.fr

Summary

The French convective-scale Arome model, operational at Météo-France, is able to accurately represent some severe weather events, such as thundertsorms, heavy precipitation, fog or strong winds. However, the first years of Arome utilization suggest that these forecasts are affected by position, amplitude and timing errors. In order to improve these deterministic forecasts, an ensemble prediction system based on the Arome model has recently been developed, and provides an estimation of the forecast uncertainty. The development of relevant post-processing methods is another way of improving forecasts. Among them, a possible solution is the object-based approach: the main idea behind object-oriented processing consists in extracting the predictable signal from forecasts, under the form of coherent features, while the smaller and less predictable scales are filtered out. In this context, Arbogast et al. (2016) and Destouches (2017) proposed a probabilistic approach to automatically detect and track precipitation objects. The method is based on the use of segmentation methods for the detection part and of a stochastic particle filter for the tracking part. The goal of the PhD is to pursue this work and to extend its application to other meteorological parameters such as cloud cover and wind gusts.

Organization of the PhD

The first part of the PhD plans to refine the current detection/tracking algorithm for precipitation forecasts. In particular, the goal is to provide a robust algorithm, able to automatically detect and recognize precipitation of different types.

The verification of object detection/tracking methods has been mainly subjective so far. Objective verification will be the next important aspect to consider, in order to quantify the added value of the object processing.

Finally, this work will be extended to other weather parameters. Basically, all parameters with a high spatial and/or temporal degree of intermittency could benefit from this object processing.

Good knowledge of numerical modelization, data assimilation and image processing would be useful.

References

M. Destouches, 2017 : Detection and tracking of precipitation objects in convective-scale forecasts, Research internship report. Arbogast, P., O. Pannekoucke, L. Raynaud, R. Lalanne and E. Mémin, 2016 : Object‐oriented processing of CRM precipitation forecasts by stochastic filtering. Quart. J. Roy. Meteor. Soc. Raynaud, L., and F. Bouttier, 2016: Comparison of initial perturbation methods for ensemble prediction at convective scale. Quart. J. Roy. Meteor. Soc., 142, 854-866.

joboffers.txt · Last modified: 2020/11/18 15:59 by oudet