Attractive Undergraduate Scholarships, KAIST, South Korea

 1. Undergraduate Admissions

Welcome to KAIST Admissions Office of Undergraduate Program for International Students

Who is eligible to apply for Undergraduate Program as International Students?

International candidates must meet all of the following requirements:

1) Spring Semester, 2017
He or she has graduated or will graduate from his or her secondary education by February 28th, 2017.
    Fall Semester, 2017
He or she has graduated or will graduate from his or her secondary education by August 31st, 2017.

2) He or she is not a citizen of Korea.
* Korean citizens who hold dual citizenship are not eligible to apply as foreign students.

※ Note: International applicant whose parents were born in Korea MUST read the instructions below.
International candidates of Korean origin MUST additionally satisfy one of the following two requirements:

1. Neither of the candidate’s parents is a Korean citizen or;
2. The candidate must have received his/her entire elementary, junior high, and high school education outside of Korea at a comparable and equivalent level of those provided in Korea. But in this case, international schools located in Korea are not acknowledged as foreign schools.
   Candidates of Korean origin who completed their entire education(elementary, junior high, and high school) outside of Korea should submit the Certificate of the Facts Concerning the Entry & Exit issued by the Korean Immigration Office.
   The certificate should have recently been issued.

※ International students of Korean origin who do not meet one of the eligibilities above CANNOT apply for International Admissions. Instead, they must apply for Korean Admissions 

2. Deadlines & Fees

Please download and read the guideline carefully. As a candidate, it is your responsibility to know the application requirements, to submit the necessary materials by the deadline, and to monitor the status of application on the website.

2.1. Admission Timeline

Applicants can choose to apply either SPRING semester or Fall semester.

SPRING semester Deadline: Mon, September 5th, 2016, 10:00 A.M. ~  Fri, November 4th, 2016, 5:00 P.M.

FALL semester Deadline: Thur, December 1st, 2016, 10:00 A.M. ~ Fri, January 20th, 2017, 5:00 P.M.

For more detail about timeline, visit page

       The timeline in this table is based on local time in Republic of Korea and is subject to change without
       prior notice.

* Materials must be received by the dates listed above.
** Interview is NOT required for all accepted candidates. Candidates will be contacted if interview is necessary.
∴ After you pay the application fee, you are not allowed to change your semester (i.e: from SPRING semester to FALL semester)

2.2. Application Fee

The application fee is USD 80 or KRW 80,000. Payment can be made by credit card or bank transfer after writing application form online. Additional charges (i.e. bank charges) should be covered by the candidates. Please note that application fee is non-refundable and you cannot modify application form once you pay the application fee.

3. Requirements & Process

3.1. List of required documents to submit

• Refer to the guideline to prepare for required documents in detail.

Item	Documents	Remarks
Online Application	1. Application Form (original)	Mandatory 1 ~ 8 * 9 and 10 : Only for International Candidates of Korean Origin, ** 11: Optional
Post mail / In-Person Applications	2-1. Statement of Financial Resources – KAIST Scholarship (original) 2-2. Statement of Financial Resources – Sponsorship (original) 3. One Recommendation Letter (original) 4. Secondary / Tertiary School Profile (copy) 5. High school / University Transcript (copy) 6. Standardized Official Test Report (copy) 7. English Proficiency Test Report (copy) 8. Passport or National ID (copy) 9. Certificate of the Facts Concerning the Entry & Exit issued by the Korean Immigration office (original) 10. Loss of Korean Nationality (original) 11. Honors and Awards (copy)

3.2. Application Process

 Read the admission guideline carefully.
Get familiar with the application process and the required materials you need to submit.

Visit http://admission.kaist.ac.kr/international
Fill out your online application form completely according to the instructions and save the file.

Please make sure that the information on your application is correct.
You cannot edit your application after you pay the application fee.

Pay application fee, 80 USD or 80,000 KRW, by credit card or bank transfer.
Any additional charges (i.e. bank charges) should be covered by the candidate.
If you want to do the bank transfer, please don’t forget to fill out the invoice above.

Press the ‘Preview’ button and print out your online application.

Send the printed online application and all additional required materials to the Admissions Office.
- Postal Address -
Office of Admissions, KAIST
Rm #214, 2F, Creative Learning Bld. (E11)
291 Daehak-ro, Yuseong-gu, Daejeon 305-338, Republic of Korea
Tel: (+82-42) 350-2147
Fax: (+82-42) 350-2420

Check whether the submitted documents have arrived or if there are any missing documents.

Submission Complete

We will contact applicants individually if an interview is necessary.

Check your final admission and scholarship result at
https:/apply.kaist.ac.kr/InterApply/InterApply/Login

 4. Scholarships

4.1. KAIST International Student Scholarship

Eligibility

• Applicants of International Student Admission

Subsidies

• Full tuition fee: tuition exemption for 8 semesters
• Living expenses: 200,000 ~ 350,000 KRW per month
• National Health insurance

Requirement

• Students must maintain GPA over 2.7 out of 4.3 at KAIST

Application Period

• Same as Admission Application

Selection Procedure

• Same as Admission Selection

4.2. Korean Government Scholarship (KGSP)

Subsidies

• Full tuition fee: tuition exemption for 8 semesters
• Living expenses: 800,000 KRW per month
• Airfare: one economy round trip
• Korean language training fee: one year
  * Korean language training is mandatory and when the student does not achieve TOPIK grade 3 within a year, she/he is not eligible to enter the degree program.
• Others: medical insurance, settlement and returning expenses

For more information, visit NIIED website

http://www.studyinkorea.go.kr (English version) ⇒ GKS ⇒ Introduction to the projects ⇒ Korean Government Scholarship Program

5. Apply

 https://apply.kaist.ac.kr/InterApply/InterApply/Login

6.Contact Information

Find answers to your question from FAQs

If you have more questions, please contact admissions office:

• Address: E11 Bldg., 2F, Rm#214, 291 Daehak-ro, Yuseong-gu, Daejeon 305-338, Republic of Korea
• Phone: +82-42-350-2147
• Fax: +82-42-350-2420

7. Original source of information

Follow the link

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PhD Positions @ CSU - People and Robots Laboratory

PhD Openings/Starting Time



The People and Robots Laboratory (PeRL) at Cleveland State University, led by Professor Pooyan Fazli, has multiple openings for PhD student positions starting in Fall 2016 or Winter 2017.

Specific interest areas include

• Multi-Robot Systems, 
• Motion Planning and Autonomous Navigation, 
• Planning under Uncertainty, 
• Human-Robot Teams/Interaction, 
• Safety in Human-Robot Collaboration, and 
• Cloud Robotics.

Eligibility/Expertise

Candidates should have a Bachelors or Masters degree in Computer Science or a related field. A background in AI, Machine Learning, or Robotics would be advantageous.

How to apply

Interested candidates should send the following documents in a single PDF file to p.fazli@csuohio.edu with the subject line “PhD Application 2016 - PeRL”:

- CV
- Names and contact information of at least three references
- Transcripts

Contact person
Please contact Professor Pooyan Fazli (p.fazli@csuohio.edu) with any questions regarding the positions.

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04 PhD positions in data mining, Halmstad University, Sweden (Salary of 25000 SEK)

Introduction
The Center for Applied Intelligent Systems Research http://caisr.hh.se/ at Halmstad University, Sweden, is currently looking for four PhD students in the area of Information Technology, specialization Data Mining, to work within our research projects together with multiple industrial and public administration partners.

Deadline
The deadline for applications is 15th of June 2016.

Duration-Salary
All positions are fully funded for 4 or 5 years, with full employment benefits and an initial salary of 25000 SEK. The positions may include up to 20% teaching duties. More information is available at http://islab.hh.se/OpenPositions

Description/Requirements
All PhD theses will be in the field of data mining, machine learning and data analysis, with focus on understanding streaming time-series data and detecting deviations by comparing one individual against a group of similar, but not identical systems. The projects will entail developing novel methods and algorithms for combining information, often uncertain, coming from different sources, discovering interesting relations in the available data, evaluating their usefulness, and finally exploiting resulting algorithms to increase efficiently and reliability. The research will be performed in close collaboration with our industrial and public administration partners.
The developed methods will be applied, in various projects, to several different types of data, collected in different settings. Examples include monitoring of sterilizers for surgical equipment, operation of district heating substations in a smart grid, communication of manufacturing equipment in a factory, maintenance and operation of heat pumps, patient flow in the hospital, and more.

Goal of the research
The overall goal of the current and future research at CAISR is to investigate both data-driven and knowledge-driven methods for analysing collected information, and comparing different knowledge representations, in particular models that are general and models that build on the expert knowledge about the specifics of the domain.

Special requirements/technical experience
We are looking for a candidate who has recently received, or is expecting to finalize within a few months, a Master's degree in a relevant field such as Information Technology, Computer Science, Computer Engineering, or closely related fields. Particular strength or experience in machine learning, data mining, computer programming or applied mathematics is very welcome.

How to apply
For more information about the positions, projects and how to apply, visit visit http://islab.hh.se/OpenPositions or contact Slawomir Nowaczyk (slanow@hh.se) and Antanas Verikas (Antanas.Verikas@hh.se)

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PhD in Machine Learning, Centrer for Computational Biology, Mines Paris Tech, France

Title:
Detection of epistasis in genome-wide association studies with machine learning methods for therapeutic target identification.

Duration:
36 months

Starting:
03/10/2016

Application deadline: 
13/06/2016

Location:
Paris / Chilly-Mazarin

Laboratory:
Centre for Computational Biology, Mines Paris Tech — Institut Curie — INSERM / In silico biology, Translational Science Unit, Sanofi

Contacts:
* Chloe-Agathe.Azencott@mines-paristech.fr
* Jean-Philippe.Vert@mines-paristech.fr
* Clement.Chatelain@sanofi.com

The Centre for Computational Biology of Mines Paris Tech and the Translational Science Unit of Sanofi are looking for a PhD candidate interested in a joint PhD project between a pharma industry and academic lab to work at the cutting edge of machine learning and genomics in a stimulating interdisciplinary research environment.

The Centre for Computational Biology is a joint laboratory between Mines ParisTech and ARMINES. It is also one of the teams of the U900 joint laboratory between Mines ParisTech, Institut Curie and INSERM dedicated to epidemiology, bioinformatics and systems biology of cancer.

The Translational Sciences Unit has a strategic position in Sanofi to implement translational research approaches throughout the drug value chain to understand the molecular mechanisms responsible for pathologies and to identify targets and biomarkers.

Context:

Genome-wide association studies (GWAS) have generated huge data sets in the past 10 years in order to find association between genetic polymorphisms and phenotypes. Until recently, most GWASs have focused on individual single nucleotide polymorphisms (SNP) markers, effectively looking at the contribution to disease of variants tagged by them in isolation. Thousands of SNPs have been associated with complex diseases by univariate analysis, but in most cases those variants independently explain only a small fraction of the estimated disease heritability (“missing heritability”). Strong evidence indicates today that genetic variants underlying most complex diseases are non-mendelian. These variants are typically not rare in the population. Independently, they show very little effect with low penetrance, but they may interact with each other in complex non-linear ways. This joint behavior of genetic variants is often referred to as epistasis or multilocus interaction. It has been speculated that epistasis ubiquitously contributes to complex diseases, partly because of the sophisticated regulatory mechanisms encoded in the human genome, and thus explains part of the missing heritability .

A vast number of methods for the detection of epistasis have been developed in recent years. However these methods still faces 3 major challenges: 1) statistical methods traditionally used in univariate SNP-phenotype associations are not adequate to find epistasis; 2) the number of combinations to be tested is tremendous, even for pairwise analyses (billions to trillions). This creates statistical power issues, and reaches the limitation of our actual computational capabilities; 3) the interpretation of the analytical results at a biological level is not straightforward.

Objective:

The objective of this PhD thesis will be (i) to develop new approaches for identifying complex multi-locus interactions in GWAS using machine learning methods, such as random forests or deep neural networks, focusing in particular on models stability and results interpretability, (ii) to implement these methods on GPU or in parallel when possible, in order to efficiently process large datasets and to integrate the solutions in the current GWAS analysis pipeline at Sanofi, and (iii) to apply these methods to selected datasets for complex diseases with an important estimated heritability.

Qualifications:

We are looking for a student with strong theoretical and practical knowledge in machine learning, statistics and optimization methods, highly motivated by an interdisciplinary research project that will take place both in an academic and industry environment. The candidate should have good programming skills (Python, R, C) and a strong interest for biology, in particular genetics and systems biology. Experience in Cuda programming or software development is a plus. The position will be open to candidates of any nationality with a master or equivalent degree (computer science, applied mathematics, statistics, data science, bioinformatics or related area). Good communication skills in French and English is required.

The PhD student will be co-supervised by Chloe-Agathe Azencott, Jean-Philippe Vert (Paris / Mines ParisTech) and Clément Chatelain (Chilly-Mazarin / Sanofi) and will be expected to spend time both at Mines and Sanofi laboratories.  During the PhD, the student will be employed by Sanofi, with competitive salary and benefits.

Application/How to Apply

Interested candidates should contact:
* Chloe-Agathe.Azencott@mines-paristech.fr
* Jean-Philippe.Vert@mines-paristech.fr
* Clement.Chatelain@sanofi.com

Applications must contain a curriculum vitae, a publication list (if applicable), a letter of motivation and a list of two contact references.

Interview

• Selected candidates will be interviewed during June 2016.

For more details, 

• please refer to this document (pdf).  

For original information
 http://cbio.ensmp.fr/index.php?wikipage=CbgPositions

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Sri Lanka Commonwealth Postgraduate Scholarships for Foreign Master Students, 2016-2017

Sri Lanka Commonwealth Postgraduate Scholarships for Foreign Master Students, 2016-2017

Applications are invited from eligible foreign candidates for the award of Commonwealth Scholarships offered by Ministry of Higher Education & Highways Sri Lanka for the academic year 2016/17. Scholarships are available for pursuing a master degree program. Ministry of Higher Education & Highways Sri Lanka is committed to providing educational and professional opportunities for Foreign Students to undertake study, research or professional development overseas. Applicants must hold a first degree of upper second class standard (or above) in a discipline relevant to that in which study is proposed.

Application Deadline: 30 June 2016

Programmes Offered:

• Scholarships are awarded in any subject

Course Level:

 Scholarships are available for pursuing a master degree program at Postgraduate Institute of Management, University of Sri Jayewardenepura and Institute of Biochemistry, Molecular Biology & Biotechnology, University of Colombo.

Eligibility:

• Applicants must hold a first degree of upper second class standard (or above) in a discipline relevant to that in which study is proposed.
• English Language Requirements: Applicants from outside the home country will often need to meet specific English language/other language requirements in order to be able to study there.

Benefit:

The scholarships provide:

• Return economy airfare from the scholar’s home country to the host country
• An arrival allowance of USD 500 to cover removal costs
• Full tuition fees
• A monthly/quarterly stipend intended to cover living costs, sustenance and local transport. Scholars will need to cover accommodation costs from their stipend.

Number of Awards:

Not mentioned

Tenure:

Not mentioned

How to apply:

By post

Further details: http://www.mohe.gov.lk/index.php/en/scholaships/foreign-students/100-scholarships-for-foreign-students

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PHD positions (Italy) on science and technology for electronic and telecommunication engineering, in the "computational vision, automatic recognition and learning”,

PhD call - 2016 PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING, in the "COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 6213)" curriculum.

Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2016 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning.

In this context, Ph.D. positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and at the Visual Geometry and Modeling Lab (VGM Lab) to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes:

Theme A - Computer vision for behavioral analysis and activity recognition
Theme B - Computer vision for the prediction of human intentions
Theme C - Part-based human body modeling for Socially-Aware Computer Vision
Theme D - Crowd behavioral analysis and event recognition
Theme E - Re-identification
Theme F - Time-lapse Computer Vision for long-term learning
Theme G - Semantic 3D scene reconstruction and modelling
Theme H - Sensing humans: enhancing social abilities of the iCub platform
Theme I - Biomedical imaging
Theme L - Connectomics
Theme M - Animal behavior analysis


More info on the above research topics can be found at: https://pavisdata.iit.it/data/phd2016/ResearchThemes_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (vittori...@iit.it) or any other tutor indicated for each theme.

The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images and patterns in

general, thus representing a reference for the other IIT Departments and labs which have to deal with such kind of data. The PAVIS and VGM Lab staff has a wide expertise on image processing, computer vision and pattern recognition, machine learning, and related applications (mainly surveillance/security and biomedical).

For more information, you can also browse the PAVIS and VGM Lab webpages to see our activities and research at: http://old.iit.it/en/research/departments/pattern-analysis-and-computer-vision.html and www.iit.it/lines/visual-geometry-and-
modelling


To apply, follow the instructions indicated in this link: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ in short: a detailed CV, a research proposal under one or more themes chosen among those above indicated, reference letters, and any
other formal document concerning the degrees earned.

Notice that these documents are mandatory in order to consider valid the application.

IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please follow these indications to prepare it: https://pavisdata.iit.it/data/phd2016/ResearchProjectTemplate.pdf

ONLINE APPLICATION DEADLINE is June 10th, 2016 at 12:00 p.m. (noon – Italian time/CET) Strict deadline, no extension.

APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - http://www.studenti.unige.it/postlaurea/dottorati/XXXII/

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Shanghai Government Scholarships for all fields including Medicine and Nursing

Shanghai Government Scholarships for International Students

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Introduction to Shanghai Government Scholarships for International Students:

 
In order to further the development of international student education and attract more outstanding international students to study in Shanghai, the Shanghai Municipal Education Commission established the Shanghai Government Scholarships (SGS) for International Students in 2005. It offers funds to prospective international students to pursue a bachelor’s degree or higher at institutions of higher education in Shanghai.

The scholarship is divided into three categories: Class A, Class B and Class C.  

• Class A (Full Scholarship) offers funds to prospective students applying for graduate programs in Shanghai. It includes tuition, living expenses and Comprehensive Medical Insurance for International Students in China.  
• Class B (Partial Scholarship) funds prospective students applying to pursue a bachelor’s degree or higher in Shanghai. The scholarship covers tuition.  
• Class C (Excellent Student Award) aims to offer support to excellent international students currently pursuing studies at institutions of higher education in Shanghai. Recipients receive a one-off payment during the academic year.

Types of Scholarships

Pilot Scheme of Shanghai Government Scholarships for International Students Click To Download
Application Rules for SGS Category A (Full Scholarship) Click To Download

Application Rules for SGS Category B (Partial Scholarship) Click To Download
Application Rules for SGS Category C (Excellent Student Scholarship) Click To Download

Universities to Apply for:

• FUDAN UNIVERSITY
• SHANGHAI JIAOTONG UNIVERSITY
• SHANGHAI JIAOTONG UNIVERSITY SCHOOL OF MEDICINE
• EAST CHINA NORMAL UNIVERSITY
• SHANGHAI INTERNATIONAL STUDIES UNIVERSITY
• TONGJI UNIVERSITY
• SHANGHAI UNIVERSITY
• SHANGHAI UNIVERSITY OF FINANCE & ECONOMICS
• SHANGHAI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
• SHANGHAI UNIVERSITY OF FOREIGN TRADE
• DONGHUA UNIVERSITY
• EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
• EAST CHINA UNIVERSITY OF POLITICAL SCIENCE AND LAW
• SHANGHAI THEATRE ACADEMY
• SHANGHAI NORMAL UNIVERSITY
• SHANGHAI CONSERVATORY OF MUSIC
• SHANGHAI UNIVERSITY OF ENGINEERING SCIENCE
• SHANGHAI UNIVERSITY OF SPORT
• UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY
• SHANGHAI FINANCE UNIVERSITY
• SHANGHAI OCEAN UNIVERSITY
• SHANGHAI MARITIME UNIVERSITY
• Shanghai Institute of Health Sciences
• SHANGHAI UNIVERSITY OF ELECTRIC POWER
• SHANGHAI INSTITUTE OF TECHINOLOGY
• SHANGHAI IDIAN JI UNIVERSITY
• SHANGHAI LIXIN UNIVERSITY OF COMMERCE
• CHINA EUROPE INTERNATIONAL BUSINESS SCHOOL
• Shanghai Polytechnic University
• Shanghai University of Political Science and Law
• NYU Shanghai
• SHANGHAI BUSINESS SCHOOL

Introduction to Application Process

For Application Details of the Class A Shanghai Government Scholarships for International Students (Full Scholarship) follow the link below.

• • Application Approach and Period
  • Eligibility
  • Coverage and Standards 
  • Application Materials
  • HEIs and Specialties
  • Admission and Notification
    

• http://www.study-shanghai.org/document/Application%20Details%20for%20Class%20A%20Shanghai%20Government%20Scholarships%20for%20International%20Students.pdf
• 
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• http://www.study-shanghai.org/Scholarship_en.asp