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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>

Info Beasiswa 2015 : PhD position at the Max Planck Graduate Center in Mainz, Germany

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Dear all,

FYI.
 
Best regards,
Iwan H. Sahputra



PhD position at the Max Planck Graduate Center in Mainz, Germany

Metal-organic framework growth: Mechanistic insight for tailored device design

Job offer from March 17, 2015
Metal-organic frameworks (MOFs) are increasingly attracting attention as versatile functional materials for sensing, catalysis, optoelectronics and energy storage/conversion applications. Particularly attractive is the possibility of strategic combination of metallic and organic building blocks to create custom-tailored MOF materials with desired structure and functionality. In order to achieve such systematic MOF device design, fundamental understanding of the nucleation phase and early growth stages that govern the final material properties is urgently required.
The overall aim of the proposed PhD project is to derive a theoretical model for electrochemically controlled MOF growth that relates relevant tunable synthesis parameters, such as initial structure and composition, to the resulting MOF 2D/3D structure and chemical functionality.
More specific, we will investigate how metal/organic-linker/dopant concentrations and electrochemical synthesis potential govern the structure and crystallinity as well as the chemical sensing properties of a showcase luminescent Zn-MOF routinely used in advanced sensing applications. With help of such a theoretical model, bottom-up fabrication protocols can be developed that enable rational design of functional MOF materials.
The project will involve the advance of current computational electrochemistry techniques on a multiscale approach where small size electronic structure calculations will be combined with largescale atomistic simulations including reactive force fields (Jun. Prof. M. Sulpizi, JGU). The simulated models will be tested against experimental data, namely electrochemical vibrational spectroscopy (nearfield and nonlinear Raman, infrared) and complementary in situ scanning probe techniques (STM, AFM) (Dr. K.F. Domke, MPIP). The powerful combination of theoretical and experimental insight will provide a unique base for the development of strategic preparation protocols for MOFs with tailored architectures and functionalities.

Who can apply?
Mandatory requirements are: - master in Physics, Chemistry or Materials Science - good knowledge of Statistical Mechanics or Electronic Structure Theory; good knowledge of modern programming and scripting languages; proficiency in spoken and written English language. 
Application process
Applications including a statement of interest, curriculum vitae and name and address of at least one reference person, should be sent to sulpizi@uni-mainz.de.

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Posted by: Iwan Halim Sahputra <halimits@yahoo.com>

Info Beasiswa 2015 : PhD Position in Atomistic Mechanics of Glasses, Karlsruhe Institute of Technology

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Dear all,

FYI.
 
Best regards,
Iwan H. Sahputra

PhD Position in Atomistic Mechanics of Glasses, Karlsruhe Institute of Technology
Friction and wear are important processes that determine the function of many mechanical devices, but their underlying microscopic physical principles are complex and often not well understood. Amorphous – or glassy – materials often form on surfaces that have experienced frictional loading. The research will involve large-scale molecular dynamics simulation of the near-surface deformation upon indentation and scratching of network and bulk metallic glasses. The goal is to build a fundamental understanding of energy dissipation channels and plastic deformation processes in these materials, and to identify potential differences in the behavior of ceramic and metallic glass formers. The project will also make connection with higher level meso- and macroscale theories for the description of the plasticity of glasses.
The research will be carried out in the group of Dr. Lars Pastewka in a project funded by the Emmy-Noether program of the German Research Foundation. The group is embedded in the MicroTribology Center (μTC) which bundles tribology-related research activities at KIT-IAM and Fraunhofer IWM. KIT provides excellent infrastructure for computational research, including multiple high-performance computing platforms and large-data storage facilities.
The candidate has an MSc (or equivalent) with a strong focus on Material Science, Mechanics, Physics or Chemistry. Additional knowledge of glasses, numerical methods, atomic-scale simulation, and experience with Python and C/C++ is an asset.
Remuneration occurs on the basis of the wage agreement of the civil service in TV-L. The application deadline is May 31, 2015.
For more information please contact Dr. Lars Pastewka, Email: lars.pastewka@kit.edu. Interested candidates are asked to send a cover letter, curriculum vitae, transcripts and contact information for at least one academic reference to the IAM-CMS front office reachable at office-CMS@iam.kit.edu.
KIT is an equal opportunity employer. Women are especially encouraged to apply. Applicants with disabilities will be preferentially considered if equally qualified.

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