http://www.epe2019.com/

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THE 12TH INTERNATIONAL SYMPOSIUM ON LINEAR DRIVES FOR INDUSTRY APPLICATIONS LDIA2019

Neuchâtel, Switzerland, July 1-3, 2019

https://ldia2019.epfl.ch/

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http://www.icpe2019.org/

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🔰 معرفی موقعیت‌های تحصیلی بیشتر در:👇

🏁 https://news.1rj.ru/str/ApplyTime_Positions

https://ai.google

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Dear All,

We are happy to announce that the program for the 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA
2018) is now available at:
http://cvssp.org/events/lva-ica-2018/program/

LVA/ICA 2018 will be the held at the University of Surrey, Guildford, UK from July 2-6, 2018.

Early registration is available until 31 May 2018.

We look forward to welcoming you to Surrey!

Best wishes,

Mark Plumbley
Co-Chair, LVA/ICA 2018

--
Prof Mark D Plumbley
Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) 
University of Surrey, Guildford, Surrey, GU2 7XH, UK
Email: m.plumbley@surrey.ac.uk

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PhD Position in Machine Learning: Early detection of epidemiological hazards (TU Darmstadt)

https://www.ke.tu-darmstadt.de/staff/jobs/ESEG

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Workshop on Computational Biology (https://sites.google.com/view/wcb2018) in Stockholmsmässan, Stockholm SWEDEN (http://icml.cc/ and https://www.ijcai-18.org/) (July 10-15, 2018).

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Postdoc: multiview learning and neuroimaging, Marseille

Understanding individual differences in neuroimaging using multi-view machine learning. Methods and applications.


We are seeking candidates for a two years postdoctoral, for developping new machine learning methods to deal with heterogeneous data such as anatomical, functional and diffusion MRI. This post-doc will be funded by the newly established Institute for Language, Communication and the Brain in Marseille, France (http://www.ilcb.fr), and will be awarded through a competitive selection process. The laureate will work in both the Institut de Neurosciences de la Timone (http://www.int.univ-amu.fr/) and the Laboratoire d'Informatique et Systèmes (http://www.lis-lab.fr/).
In brain imaging, traditional group analyses rely on averaging data collected in different individuals. This averaging offers a summary representation of the studied group, thus providing a way to perform inference at the population level. However, it discards the specificities of each individual, which have recently proved to carry critical information to develop diagnosis and prognosis tools for neurological and psychiatric diseases or to understand high level cognitive processes.

Estimating robust population-wise invariants while preserving individual specificities is a challenge that can be addressed by integrating the information offered by different neuroimaging modalities, such as anatomical, functional and diffusion MRI, which respectively allow assessing brain shape, activity and connectivity. This can therefore be framed as a multi-view machine learning question. The tasks of the post-doctoral fellow will consist in 1. finding adequate representations of data (e.g. graph, stack of images, …) that preserve structural information, 2. designing and implementing machine learning algorithms that exploit both the representations and the multiple views using kernel methods and/or neural networks, and 3. evaluating them on a variety of MRI datasets dedicated to studying language and communication.

The candidate should have completed a PhD in computer science, applied mathematics or electrical engineering, with a focus on machine learning. He/she should also have a strong motivation to work in neuroscience, as the working environment will be truly inter-disciplinary. Interested candidates should imperatively contact sylvain.takerkart@univ-amu.fr, francois-xavier.dupe@lis-lab.fr and hachem.kadri@lis-lab.fr before May 25 2018 for a first contact.

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We propose a PhD funding for a student willing to work on optimal transport and deep learning.
Deadline: 4th June 2018
Nicolas Courty
Associate Professor in IRISA
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Relational Artificial Intelligence Days
August 27th - September 4th 2018
Ferrara, Italy

http://raid2018.unife.it/

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Researchers, Optimization methods for on-demand planning of public buses, Faculty of Applied Economics, University of Antwerp,

https://goo.gl/Tb5932

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PhD student in bedrock geology, Lund University

https://goo.gl/xNPFf8


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Open PhD positions, Medical University of Vienna

https://goo.gl/qY5pZx

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University Assistant (post doc) at the Department of Business Administration, University of Vienna

https://goo.gl/Bvy31o

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PhD research fellow at the Centre for Educational Measurement at the University of Oslo

https://goo.gl/SjmNUR

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1- مشاوره در مسیر اپلای
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📅 همچنین به منظور رزور کردن وقت #مشاوره‌ی #تلفنی، #اسکایپی و یا #حضوری، تنها کافی است به ادمین کانال پیامی ارسال نمایید.

🌈 پل اولیه‌ی ارتباط با ما:

🎭 Admin: @Dr_Apply

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Move ahead! It’s apply time. Let’s go!
We know that there is a path to get there!

http://kdd.di.unito.it/pap2018/

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🔆 بیش از ۵۰ موقعیت‌ تحصیلی جدید معرفی شد:👇

🏁 https://news.1rj.ru/str/ApplyTime_Positions

https://sites.google.com/site/icml18limitedlabels/

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Post-doc in multi-agent reinforcement learning at Northeastern University

This project will explore methods for multi-agent reinforcement learning for a team of aerial robots in dynamic environments. The post-doc will focus on developing learning methods, but will coordinate with other students, post-docs and professors to test the approaches with aerial robots. 

For full consideration *please apply by May 25th*

Qualifications:

PhD in Computer Science or related field
Top-tier publications in the general area of multi-agent reinforcement learning (broadly defined)
Programming experience in a high-level language such as C++ or python
Self-motivated
Works well with a team

Knowledge of the following is helpful, but not required: deep reinforcement learning, decentralized POMDPs or multi-robot learning. 

The position will be for up to 2 years and will be supervised by Chris Amato (http://www.ccs.neu.edu/home/camato/) at Northeastern University. 

Northeastern University is located in the heart of Boston, a city with one of the richest research environments in the world, with over 10K researchers, 50K graduate students, and a top startup community. Northeastern University is home to 35,000 full- and part-time degree students. The past decade has witnessed a dramatic increase in Northeastern’s international reputation for research and innovative educational programs (according to CSRankings.org, Northeastern is ranked 19th in the USA overall and 26th in robotics). For more information about Northeastern and the College of Computer and Information Science, please visit http://www.ccis.northeastern.edu/

To apply, please send your CV and either two reference letters or contact information for two references to camato@ccs.neu.edu with MARL-postdoc in the subject. Feel free to also email if you want more info.

Christopher Amato
Assistant Professor
College of Computer and Information Science (CCIS)
Northeastern University
http://www.ccs.neu.edu/home/camato/

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