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Info beasiswa terbaru ; beasiswa] [INFO] S2 dan S3 di Tokyo Institute of Technology untuk September 2016

14.8.15 |


Berikut informasi penerimaan mahasiswa baru Program PascaSarjana di
Tokyo Institute of Technology untuk keberangkatan bulan September 2016

Application Period: August 3, 2015 - November 30, 2015.

Informasi selengkapnya
http://www.titech.ac.jp/english/graduate_school/international/graduate_program_a/index.html

Alokasi beasiswa MEXT untuk mahasiswa international 2015
http://www.titech.ac.jp/english/graduate_school/international/graduate_program_a/pdf/mext2015.pdf

Salam,

Muhammad Kunta Biddinika
Twitter: @katakatakunta

Beasiswa : The neurocognitive correlates of attentional control and lapses of attention in semi-structured ecological settings

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POSTDOCTORAL FELLOW
Human Neuroscience and Visual Cognition & ASTECCA Laboratories, Department of Psychology, Wright State University

We are seeking a postdoctoral fellow to take a leading role in our research on the neurocognitive correlates of attentional control and lapses of attention in semi-structured ecological settings. The goal of this project is to rigorously characterize the relationship between laboratory measures of attentional control and failures of attention in realistic task contexts. We specifically aim to combine cognitive behavioral studies, ERP experiments, and computational modeling to test the extent to which laboratory measures can predict individual differences in susceptibility to attentional failures. We will investigate how these combined measures can be used to identify which individuals are most likely to benefit from a cognitive training paradigm aimed at enhancing attentional control. The postdoctoral fellow will be responsible for designing the studies, programming the experimental paradigms, recruiting participants, and collecting the data. In addition, the fellow will be responsible for data analysis and reporting the research findings in peer-reviewed journals.  

The position is fully funded for three years. The successful candidate will hold a PhD in Cognitive Neuroscience, Cognitive Psychology, Computer Science, or any other related discipline by the start date of the position. Experience in computer programming, especially with Matlab, and familiarity with fMRI or EEG research are required. Experience in computational cognitive modeling will be considered a strong advantage.

The Department of Psychology is housed in the College of Science and Mathematics, offers a Ph.D. in Human Factors and Industrial/ Organizational Psychology, and has 3 undergraduate concentration areas: (1) Cognition and Perception, (2) Industrial/ Organizational, and (3) Behavioral Neuroscience. Wright State University was recently ranked among the “Best in the Midwest” universities by The Princeton Review, listed among 260 Best National Universities in the annual “America’s Best Colleges” rankings by U.S. News and World Report, and ranked fourth nationally among universities with limited numbers of doctoral programs in the Faculty Scholarly Productivity Index. Wright State University is an Equal Opportunity/Affirmative Action Employer.

For more information on this position contact Assaf Harel, Ph.D. at assaf.harel@wright.edu or Ion Juvina, Ph.D. at ion.juvina@wright.edu. Applicants should visit the following link to upload CV and statement of research:  <http://jobs.wright.edu/postings/9380>. In addition, please have three letters of reference sent directly to Ion Juvina, Ph.D., Assistant Professor, Department of Psychology, 313G Fawcett Hall, 3640 Colonel Glenn Hwy, Wright State University, Dayton, OH 45435. 

Review of complete applications will begin August 8, 2015, and continue until the position is filled. All new hires must go through a criminal background check before they can be hired

Info Beasiswa Terbaru 2015 : PhD position in small animal neuromodulation and neuroimaging

20.4.15 |

The Neural Control of Movement Laboratory (NCM) in the Department of Health Sciences and Technology (D-HEST) of ETH Zurich has an opening for a fully funded
PhD position in small animal neuromodulation and neuroimaging
The goal of this project will be to gain better understanding of the neural basis of autistic behavior. The applicant will develop and apply new technologies for neuromodulation and neuroimaging in animal models for Autistic Spectrum Disorder (ASD). Planned studies will utilize MR imaging, optogenetic, pharmacogenetic, molecular and behavioral methods to explore the neural circuitry linking brain stimulation, functional connectivity and behavior.

ETH has access to excellent technical facilities including small-animals 7T and 9.4T MR scanners and laboratories for behavioral testing and optogenetics.
Employment is expected to begin in the second half of 2015 and international applicants are welcome.
A successful applicant will have, or is expected to soon receive a Master’s degree in one of the following disciplines: Neuroscience, Biology, Biomedical Engineering or Health Sciences and Technology. Proficiency in English and the ability to communicate with collaborators across a range of disciplines will be required. Candidate must be highly motivated to perform innovative large-scale studies and willing to work with small animals. Prior experience with optogenetic and/or image analysis is preferred but not mandatory. Above all, candidates should be enthusiastic with a strong willingness to learn new skills.
For further information please contact Prof. Nicole Wenderoth at nicole.wenderoth@hest.ethz.ch
(no applications) and visit our website www.ncm.hest.ethz.ch.


We are looking forward to receive your online application by May 1, 2015. It should include a CV (including publication list), a statement of interest and the names and email addresses of two potential referees. Please send it to: ETH Zurich, Ms. Nadja Lang, Human Resources, CH-8092 Zurich.

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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>

Info Beasiswa 2015 di PhD position in Human System’s Neuroscience

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The Neural Control of Movement Laboratory (NCM) in the Department of Health Sciences and Technology (D-HEST) of ETH Zurich has an opening for a fully funded
PhD position in Human System’s Neuroscience
The goal of this project will be to gain better understanding of the neural basis of movement observation (or “motor resonance”) in humans. The applicant will primarily use eye tracking, brain stimulation (TMS) and brain imaging techniques (EEG, fMRI). 

ETH offers an exciting, multidisciplinary research environment with a vibrant neuroscience community. Furthermore, there is access to excellent technical facilities including a research-dedicated 3T MR scanner and laboratories for electroencephalography (EEG), transcranial magnetic stimulation (TMS), and transcranial direct current stimulations (tDCS).
Employment is expected to begin in the second half of 2015 and international applicants are welcome.
A successful applicant will have, or is expected to soon receive a Master’s degree in one of the following disciplines: Neuroscience, Psychology, Biology, Biomedical Engineering or Health Sciences and Technology. Proficiency in English and the ability to communicate with collaborators across a range of disciplines will be required. Prior experience in signal processing and data analysis in MATLAB or similar high-level language is also necessary. Above all, candidates should be enthusiastic with a strong willingness to learn new skills.
For further information please contact Prof. Nicole Wenderoth at nicole.wenderoth@hest.ethz.ch (no applications) and visit our website www.ncm.hest.ethz.ch.


 
We are looking forward to receive your online application by May 1, 2015. It should include a CV (including publication list), a statement of interest and the names and email addresses of two potential referees. Please send it to: ETH Zurich, Ms. Nadja Lang, Human Resources, CH-8092 Zurich.

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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>

Info Beasiswa 2015 : PhD position in Mobile Rehabilitation Technology

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The Neural Control of Movement, Rehabilitation Engineering, and Mobile Health Systems Laboratories in the Department of Health Sciences and Technology (D-HEST) of ETH Zurich have an opening for a fully funded
PhD position in Mobile Rehabilitation Technology
The goal of this collaborative project will be to develop mobile rehabilitation technology for translation into clinical and home settings. The applicant will work on medical devices that interface with smartphones to communicate remotely with a clinician or experimenter. The work will make an important contribution to providing technology access and improving rehabilitation outcomes for neurological patients with movement disorders.

The host laboratories have a broad range of expertise in hardware and software development in the context of medical applications, in fundamental movement neuroscience research and in clinical trials.
Employment is expected to begin in the second half of 2015 and international applicants are welcome.
A successful applicant will have, or is expected to soon receive a Master’s degree in a technical discipline (e.g. Engineering/Applied Mathematics, Computer Science, Physics, or equivalent). Skills, both in software (e.g. microcontroller/mobile app programming, signal processing and data analysis in MATLAB or similar high-level language) and hardware (e.g. CAD, circuit and PCB design) are required. Proficiency in English and the ability to communicate with collaborators across a range of disciplines is also necessary. A demonstrated interest in the application of technology in the field of neurorehabilitation will be viewed favorably. Above all, candidates should be enthusiastic with a strong willingness to learn new skills.
For further information please contact Prof. Nicole Wenderoth at nicole.wenderoth@hest.ethz.ch (no applications) and visit our website www.ncm.hest.ethz.ch.


We are looking forward to receive your online application by May 1, 2015. It should include a CV (including publication list), a statement of interest and the names and email addresses of two potential referees. Please send it to: ETH Zurich, Ms. Nadja Lang, Human Resources, CH-8092 Zurich.

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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>

Info Beasiswa 2015 : PhD position on semantic hashing

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=====================
 PhD thesis position
=====================


Summary :
---------
3-years position in Computer Science
Laboratoire Hubert Curien, UMR CNRS 5516, Saint-Etienne, France.
Apply before 7th may 2015 to christophe.gravier@univ-st-etienne.fr
Start your thesis between september and october 2015.


For more information, contact Christophe Gravier <christophe.gravier@univ-st-etienne.fr> or Julien Subercaze <julien.subercaze@univ-st-etienne.fr>




Description :
-------------

On the Web and in social networks, textual similarity search is a problem of the utmost practical interest.
Devising metrics for textual contents (Web pages, tweets, ..) serves the purpose of today Web services â?" search engine, recommender system, online advertising, ... to name a few. 


In this context, one of the popular strategy to overcome scalability issues is Semantic Hashing, which has been proposed in the early 2000 [2, 4]. Semantic hashing aims at embedding the data points from high dimensional spaces of traditional approaches into a Hamming hypercube of size n. In semantic hashing, each data point is associated to a binary code of length n, so that their Hamming distance is similar to the one in the original space. The problem to find how to perform such an embedding provides a hot topic for the computer scientists. Many semantic hashing schemes rely on machine learning: using a corpus, binary classifiers are trained in order to satisfy different optimisation functions [6, 12, 13, 11, 3, 8, 5].


The main issues with what is commonly accepted are the following:
- data dependency : the entire corpus needs to be known in advance â?" or a sufficient portion of it making the approach also subject to cold start.
- concept-insensitive : as these processes relies on keyword feature spaces, two documents semantically similar but making use of different terms are not mapped to close binary codes.
- language-dependant : while some of the most recent works consider hashing textual and multimedia items together, few works focus on multi-lingual corpus [10].


Instead of high dimensional vector spaces, we consider in this thesis other document representation as candidates for hashing. We especially consider graphs as a document representation that can be tuned to be data-independant, concept-sensitive, and language-independant. We aim at exploring further if this representation is more suitable for semantic hashing. This track has been settled in the institute in the last couple of years. Especially, in [9] we demonstrated that a graphical model is a suitable document representation for semantic hashing, as it presents an interesting an massive speed-up for pairwise similarity computation at the cost of a limited loss of semantic similarity with respect to high dimensional models. In [1], we extended our model and we show that an external taxonomy used in the semantic hashing scheme provide concept-sensitivity to our semantic hashing process. The candidates are strongly advised to read these two publications from the team.


In this thesis, we aim at improving this method and evaluate what are the performances and limitations of a semantic hashing scheme based on a graphical representation of documents.
We will put focus on under-studied applications of semantic hashing : multi-lingual semantic hashing and speed up of natural language processing tasks.


Supervisors : Christophe Gravier and Julien Subercaze




Requirements:
-------------


The candidate MUST have :
1. a Master degree in Computer Science,
2. a good mathematical background,
3. a strong background in programming, Java experience is a plus,
4. excellent english writing skills.


In addition, although an obvious and very useful quality in general, it is not mandatory to speak French to apply.




How to apply:
--------------


* Agenda


Submission deadline : May 7th 2015 11:59pm Paris time.
Interview, if selected : between 11-13 May 2015.
Notification : between 10-15 June


* Application file


Your application file MUST contain the following items :
1. A curriculum vitae,
2. The master diploma as a PDF file,
3. The details of your marks for the two last years of the Master,
4. Contact details of two associate professors or professors you had interacted with as reference.


Your application file MAY also contain any information or link you think is appropriate (e. g. scientific publication you have contributed to, online service you maintain, link to your social coding account, ...).


You must send your application as a single, zipped, PDF file to : christophe.gravier@univ-st-etienne.fr




* Evaluation of applications


All applications will be reviewed by all the members of the Knowledge and Representation project, a subdivision of the Connected Intelligence group at Hubert Curien laboratory.
A first selection will be made from your application folder.
If selected, you will enter a second phase of selection based on three exerices :
- A motivation interview so that we can know each others. The interview includes the advisors, but also the other researchers from the laboratory with a more remote perspective on the research,
- A technical assignment : a basic 2-hours Java (or C++) programming task.
- An english assignment.


The entire process may not exceed half a day and are all held the same day.
On that day, you are invited to come to the laboratory.




Location :
----------


Saint-Etienne is located about 2 hours from the mediterranean sea and 2 hours from Alps slopes. Lyon city is at 50 km. Saint Etienne has about 180.000 inhabitants including more than 20.000 students. Surrounded by hills where hiking and mountain biking are significant, Saint Etienne is also member of the Unesco Creative Cities Network for design.




References :
------------


[1] Bamba, P., Subercaze, J., Gravier, C., Benmira, N., and Fontaine, J. (October, 30th 2012). The Twitaholic Next Door. In Proc. of 21st ACM International Conference on Information and Knowledge Management (CIKMâ?T12), pages 2275â?"2278, Maui, Hawaiâ?Ti, USA. ACM.
[2] Gionis, A., Indyk, P., Motwani, R., et al. (1999). Similarity search in high dimensions via hashing. In VLDB, volume 99, pages 518â?"529.
[3] Gu, X., Zhang, Y., Zhang, L., Zhang, D., and Li, J. (2013). An improved method of locality sensitive hashing for indexing large-scale and high-dimensional features. Signal Processing, 93(8):2244â?"2255.
[4] Indyk, P. and Motwani, R. (1998). Approximate nearest neighbors: towards removing the curse of dimensionality. In Proceedings of the thirtieth annual ACM symposium on Theory of computing, pages 604â?"613. ACM.
[5] Ji, J., Li, J., Yan, S., Zhang, B., and Tian, Q. (2012). Super-bit locality-sensitive hashing. In NIPS, pages 108â?"116.

[6] Lin, R.-S., Ross, D. A., and Yagnik, J. (2010). Spec hashing: Similarity preserving algorithm for entropy-based coding. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 848â?"854. IEEE.
[7] Matousek, J. (2013). Lecture notes on metric embeddings. In Department of Applied Mathematics, Czech Republic, and Institute of theoretical Computer Science Zurich, page 126 pages.
[8] Shrivastava, A. and Li, P. (2014). Densifying one permutation hashing via rotation for fast near neighbor search. In Proceedings of The 31st International Conference on Machine Learning, pages 557â?"565.
[9] Subercaze, J., Gravier, C., and Laforest, F. (2013). Towards an expressive and scalable twitterâ?Ts users profiles. In Proceeding of Web Intelligence, pages 101â?"108.
[10] Ture, F., Elsayed, T., and Lin, J. (2011). No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity. In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pages 943â?"952. ACM.
[11] Wang, Q., Si, L., Zhang, Z., and Zhang, N. (2014). Active hashing with joint data example and tag selection. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pages 405â?"414. ACM.
[12] Zhang, D., Wang, J., Cai, D., and Lu, J. (2010). Self-taught hashing for fast similarity search. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, pages 18â?"25. ACM.
[13] Zhang, L., Zhang, Y., Tang, J., Gu, X., Li, J., and Tian, Q. (2013). Topology preserving hashing for similarity search. In Proceedings of the 21st ACM international conference on Multimedia, pages 123â?"132. ACM.
_______________________________________________

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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>

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