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Stage : conception et implémentation de visualisations graphiques de simulations numériques

Contexte:

L’institut des systèmes complexes de Paris est une structure de recherche du CNRS interdisciplinaire et un lieu d’échange pour des scientifiques de nombreuses disciplines. Une de ces missions est de développer des outils transversaux pour les systèmes complexes.

Le logiciel libre OpenMOLE est développé depuis 2008 au sein de l’ISC-PIF. Il permet l’exploration et la validation de modèles de simulation scientifique. Son cœur est codé en Scala, et son interface web en Scala-js (Scala compilé vers du javascript). Un démonstrateur de cette application est disponible ici : demo.openmole.org.

OpenMOLE propose de nombreuses méthodes avancées pour l’exploration des modèles de simulation (calibrage automatique, analyse de sensibilité, optimisation multi-objectifs, recherche de diversité, etc). Ces méthodes itératives produisent des résultats bruts à haute information mais ne possèdent pas pour l’heure de représentation graphique ergonomique. Une API fournissant pour chaque méthode la convergence, les meilleurs résultats obtenus depuis le début de la simulation, est en cours de développement.

Missions:

Le stage s’articule en quatre temps :

1) une prise en main des méthodes produisant des données à représenter dans le cadre du stage.
2) la construction sous forme de mockup d’un tableau de bord de l’évolution de la simulation pour les méthodes envisagées.
3) l’implémentation de ces deux tableaux de bord dans une application autonome. Ces implémentions se feront en Scala / Scala-js et utiliseront la librairie graphique Plotly.
4) l’intégration des tableaux de bord dans l’application OpenMOLE

Technologies et compétences à mettre en œuvre durant le stage:

  • Scala / Scala-js
  • Mathématiques niveau licence
  • UX – Expérience Utilisateur
  • Plotly
  • Javascript
  • OS : linux
  • Attrait pour le monde de la recherche et le logiciel libre

Détails:

Durée: 4 à 6 mois

Lieu: Institut des Systèmes Complexes (ISC-PIF) / Paris-13

Niveau: Licence ou Master

Contact : mathieu.leclaire@iscpif.fr, romain.reuillon@iscpif.fr

Stage indemnisé (environ 500€ / mois)

Candidature:

  • CV détaillant les formations reçues et les expériences professionnelles antérieures
  • Lettre de motivation
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Mobile Developer Internship

We are looking for students who are interested in Mobile development, especially Android!

Diploma required: Bac + 5 in a quantitative field (applied mathematics, statistics, computing…)
Internship starting date: Flexible
Duration : 2 – 6 month
Salary policy: the internship is paid according to the legal wage rates (approx. 560€/month)

About the Institute of Complex Systems (ISC-PIF)

Created in 2005, ISC-PIF is a CNRS service and research unit dedicated to the inter-institutional and inter-disciplinary development of research on complex systems. At once a research laboratory, project incubator, shared resource centre, conference centre and academic co-working space, this scientific hub provides researchers with a dynamic research environment and innovative tools based on big data and high-performance computing.

Address :
Institut des Systèmes Complexes de Paris IdF,  113 rue Nationale 75013 Paris

About the internship

Description :

We are looking for students interested in a  2-6 months internship to help us create the equivalent of our existing iOS apps for Android. You are free to use either React Native or Android (Java/Kotlin) or a combination of both.

Some of the existing iOS apps:

These iOS apps have essentially the same structure and features which makes it easy to reuse across the 3 Android apps.

Requirements : 

  • Proficient in Android (Java, Kotlin) or strong knowledge of React.js
  • Experience with third-party libraries and APIs
  • Very comfortable with NoSQL Databases like MongoDB and Elasticsearch
  • Solid understanding and experience with JavaScript, HTML5, CSS3
  • Solid understanding of the full mobile development life cycle
  • (Bonus) Published an app to the Google Play Store
  • (Bonus) Familiarity with REST and Websockets on mobile
  • (Bonus) Experience with the MVVM and/or MVP design patterns

Responsibilities (two or more) :

  • Converting Politoscope iOS app to Android
  • Converting SciCope iOS app to Android
  • Converting 24 News iOS app to Android

How to Apply :

Please email your job application (reference in the subject line: Multivac Intern) including a cover letter, a resume, and an indication of availability date to maziyar dot panahi at iscpif dot fr. 

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Data Science Internship Program

Multivac Big Data Architecture

 

NOTE: This position is open for the year 2021.

We are looking for students who are interested in Data Science and Machine Learning! A great opportunity to work with cutting-edge technologies and billions of data. You will be working on Multivac Platform developed at ISC-PIF : our platform is one of the biggest academic repositories with over 15 billion documents hosted across 80 servers on dedicated servers and cloud services.

Diploma required: Bac + 5 in a quantitative field (applied mathematics, statistics, computing…)
Internship starting date: Flexible
Duration : 2 – 6 month
Salary policy: the internship is paid according to the legal wage rates (approx. 560€/month)

About the Institute of Complex Systems (ISC-PIF)

Created in 2005, ISC-PIF is a CNRS service and research unit dedicated to the inter-institutional and inter-disciplinary development of research on complex systems. At once a research laboratory, project incubator, shared resource centre, conference centre and academic co-working space, this scientific hub provides researchers with a dynamic research environment and innovative tools based on big data and high-performance computing.

Address :
Institut des Systèmes Complexes de Paris 113 rue Nationale 75013 Paris

About the internship

Description :

You will be working on the Multivac Platform developed at ISCPIF. Multivac Platform is one of the biggest academic repositories with over 75 billion documents hosted across 100 servers on dedicated servers and cloud services. The datasets contain metadata from published scientific papers and social networks with a wide range of topics. Multivac platform is meant as an interface between researchers and Big Data, especially in the domain of NLP and text mining. It offers services such as comprehensive dashboards that enable scientists to explore and discover facts with a wider overview of large-scale data through visualizations. It also offers API access that allows researchers to exploit this huge architecture and computation without any prior technical knowledge. In addition, Multivac Data Science Lab offers interactive notebooks over Apache Hadoop/Spark cluster in private Cloud.

Why Multivac Platform :

Multivac Platform is built by cutting-edge technologies such as:

  • Large-scale databases (MongoDB and Redis with over 12 billion documents)
  • Search engine clusters (Elasticsearch/Kibana with over 6 billion documents)
  • Distributed computations and real-time processing (RabbitMQ, NodeJS, etc.)
  • Cloudera Hadoop 2.0 with interactive Spark notebooks (HDFS, YARN, Apache Spark, Apache Hive, Apache HBase, Apache Zeppelin, Hue, etc.)
  • Cloud services (OpenStack)

You get to learn all about these new technologies and have access to Multivac Data Science Lab. Multivac Platform hosts over 14 billion data with over 50 million data every day.

Multivac Data Science Lab

Multivac Data Science Lab

Requirements : 

  • Master in Statistics or Data Sciences
  • Basic knowledge of Machine Learning Algorithms
  • Good knowledge of Scala, Python, or R
  • Good knowledge of Deep Learning libraries (BigDL, Tensor Flow …)
  • Strong knowledge of text mining in social networks
  • Interest in NLP tasks and Graph analytics
  • Experience with Twitter datasets and other REST API services (Bonus)
  • Familiar with Apache Spark or any other Hadoop components (Bonus)

Responsibilities (two or more) :

  • Work on unsupervised learning algorithms for topic detection
  • Work on supervised learning algorithms for classifications and predictions
  • Develop and optimize our existing LDA implementations
  • Develop algorithms to perform NLP tasks such as clustering, topic detections, etc. (StanfordCoreNLP)
  • Implement algorithms to improve sentimental analysis and mentions clustering
  • Develop and implement methods of automatic detection of opinions in Tweets
  • Implement methods of keyword extractions in scientific publications

How to Apply :

Please email your job application (reference in the subject line: Multivac Intern) including a cover letter, a resume, and an indication of availability date to maziyar dot panahi at iscpif dot fr. 

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Gargantext Front End Developer (ReactJS & Purescript)

Gargantext recrute un.e développeur.se Front End pour travailler au sein de ISC-PIF et collaborera avec l’Institut Mines-Telecom. Elle/il sera responsable de la création d’interfaces robustes et ergonomiques ​​pour la plate-forme Text-Mining Gargantext et Community Explorer (Comex).

Lire la suite
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