The Data Mining and Machine Learning group (DM2L) at LIRIS laboratory (UMR 5205 CNRS, Lyon France) invites applications for a PhD position in Machine Learning. Context Nano 2017 is a new research and development programme specifically dedicated to nanotechnologies for superconductors in which one PhD student will be funded for 3 years. This research and industrial development program involves primarily STMicroelectronics and other local partners, including LIRIS, and aims to achieve, by 2017, a new technological breakthrough in the control and dissemination of nanoelectronics applications. Semiconductor processes are currently pushed to the limits of the current technology, resulting in processes that have little or no margin for error. There is an Increasing need for fast, accurate, and sensitive detection and classification of equipment and process faults to maintain high process yields and high throughput in manufacturing. Early detection is critical to minimize scrap wafers and improve product yields for semiconductor manufacturing. The PhD student will develop powerful machine learning algorithms for analyzing large unbalanced data sets including sensor data streams (at varying temporal resolution), selecting and extracting predictive features, assessing their relevance and performing early fault detection and classification in a supervised and/or semi-supervised context. The overall aim is to detect and classify faults faster and more accurately, resulting in improved process yields and higher throughput, while controlling the false alarm rate. Work environment Lyon is France's second largest city and capital of the Rhône-Alpes region. Combining an exceptional historical heritage with a natural liking for good food, Lyon is an ideal city for discovering all the charm of the French way of life. A stage for more than 2000 years of history, the city has a remarkable architectural heritage. Expanding towards the east throughout the centuries, without destroying the existing areas, 500 hectares of its city centre became a Unesco World Heritage Site in 1998. University Lyon 1 is one of the leading academic communities in France. Renowned for its leafy campus (443,000 m2), and state-of-the-art equipment, it enrols over 35, 000 students in approximately hundreds of study programs. University Lyon 1 employs 2630 researchers and teachers. The Data Mining and Machine Learning group (DM2L) at LIRIS laboratory (UMR 5205 CNRS), focuses on the development of principled approaches to machine learning and data mining, and their applications to diverse areas including bioinformatics, anomaly detection, forecasting, process monitoring, medical diagnosis etc. DM2L currently consists of 12 researchers and 10 PhD students. See : http://liris.cnrs.fr/equipes?id=46 What we expect from you: You should meet the following requirements: • A Master's degree (or equivalent) in Computer Science, Electrical Engineering or Statistics with a strong interest in machine learning, pattern recognition and data analysis; • Strong programming skills in Python, R (or Matlab); • Good knowledge in probability and statistical inference; • Commitment and a cooperative attitude; • Good proficiency in spoken French and written English. If you are interested in this position, please provide a detailed curriculum vitae, a short explanation of your interest in the proposed research topic, a list of courses (including grades) that you have successfully completed, a publication list, copy of your publication(s) in English and the names of two references, and all other information that might be relevant to your application Please send your application by mail not later than September 30th 2014 to: Prof. Alexandre Aussem, Email : aaussem@univ-lyon1.fr. http://perso.univ-lyon1.fr/alexandre.aussem/
__._,_.___
Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>
| Reply via web post | • | Reply to sender | • | Reply to group | • | Start a New Topic | • | Messages in this topic (1) |
Improvements in Yahoo Groups Search
Searching for new groups to join is easier than ever. We've honed our algorithm to bring you better search results based on relevance and activity. Try it today!
INFO, TIPS BEASISWA, FAQ - ADS:
http://id-scholarships.blogspot.com/
===============================
INFO LOWONGAN DI BIDANG MIGAS:
http://www.lowongan-kerja.info/lowongan/oil-jobs/
===============================
INGIN KELUAR DARI MILIS BEASISWA?
Kirim email kosong ke beasiswa-unsubscribe@yahoogroups.com
http://id-scholarships.blogspot.com/
===============================
INFO LOWONGAN DI BIDANG MIGAS:
http://www.lowongan-kerja.info/lowongan/oil-jobs/
===============================
INGIN KELUAR DARI MILIS BEASISWA?
Kirim email kosong ke beasiswa-unsubscribe@yahoogroups.com
.
__,_._,___
