Master-PhD Scholarships, Koç University, Turket

SCHOLARSHIPS AND FINANCIAL AID

THERE IS NO SEPARATE APPLICATION PROCESS FOR PHD SCHOLARSHIPS. AS A CANDIDATE YOU SIMPLY APPLY TO YOUR PROGRAM(S) OF CHOICE AND IF YOU RECEIVE AN ADMISSION OFFER YOU WILL ALSO RECEIVE THE SCHOLARSHIP. There are a wide range of scholarship opportunities for graduate students at Koç University. According to the funding source they can be:

• • Graduate Fellowship Program funded by Koç University
• • Externally-funded Graduate Scholarships that are co-funded by both external sources (eg. EU, industry-supported projects, governments, foundations) and Koç University

According to the level of graduate program they are: MASTERS SCHOLARSHIPS Different scholarships are available for qualified students in all the Graduate Schools. These scholarships are awarded on academic merit and potential. There is no separate application process to be awarded these scholarships as they are offered alongside an unconditional admission offer from the relevant Graduate School. They may include:

• • Full or partial annual tuition fee exemption
• • Free on campus dormitory accommodation or monthly housing allowance
• • Monthly stipend
• • Laptop
• • Private health insurance.

PhD SCHOLARSHIPS Students who are given an offer of admission to a PhD program (both Turkish and international) receive the following support:

• • Full annual tuition exemption
• • Monthly living stipend (exact amount varies based on different factors)
• • Accommodation in shared graduate student apartments near campus OR monthly housing allowance
• • Meal card
• • Private health insurance
• • Office space and laptop computer
• • Coverage of thesis related expenses (including costs of attendance to approved conferences)

IMPORTANT: for detailed information on the specific benefits awarded by each Graduate School please visit the websites below:

• • Graduate School of Sciences and Engineering Financial Aid page
• • Graduate School of Social Sciences and Humanities Financial Aid page
• • Graduate School of Health Sciences Financial Aid page
• • Graduate School of Business

COUNTRY SPECIFIC SCHOLARSHIPS

In addition to the main Koç University scholarships, international students may also be eligible for country-specific scholarships through agreement the university has established with prestigious institutions across the world. You can also apply for specific scholarships offered by your country’s government or other agencies to fund your living expenses, air travel expenses or other costs by checking if Koç University is an eligible university. If you would like to know more details about any of the scholarships below please email study@ku.edu.tr

Country	Name of scholarship	Institution	Level	Details
All Nationalities	Turkish Scholarships	T.C Başbakanlık Yurtdışı Türkler ve Akraba Topluluklar (YTB)	Undegraduate, Masters and PhD	Click here
UN’s Least Developed Countries (LDCs), Landlocked Developing Countries (LLDCs) or Palestine	Kofi Annan Scholarship	Kofi Annan Foundation	Graduate School of Business (MBA, MIM)	For more information please emailstudy@ku.edu.tr
CHINA (incl. Hong Kong and Macau)	Fung Graduate Fellowship	Victor and William Fung Foundation	PhD	Click here for English 点击此处查看中国
COLOMBIA	ICETEX – Koç University	ICETEX	Masters and PhD	Click here
PAKISTAN	HEC – Overseas Scholarship at Koç University	Higher Education Commission (HEC)	MA leading to PhD	Click here
PAKISTAN	HEC – HRDI UESTP Scholarship at Koç University	Higher Education Commission (HEC)	MA leading to PhD	Click here
SYRIA	IIE Syria Consortium – Koç University	Institute of International Education (IIE)	Masters and PhD	Please emailstudy@ku.edu.trfor more information

MS-PhD Scholarships, UST Daejeon, South Korea

Position available: 

• PhD or integrated program

Research area: 

• organic solar cells, perovskite solar cells (device fabrication)

Campus: 

• Korea research institute of chemical technology (KRICT) Daejeon.

University: 

• University of science and technology(UST) Daejeon

How to apply

• Please send CV to jahandar@krict.re.kr

For further details about admission and scholarship please visit

• http://www.ust.ac.kr/index.do

For more scholarships

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10 faculty positions in data science at the University of Exeter, UK

As part of an exciting major initiative, the University of Exeter is aiming to recruit 10 new posts in data science and related disciplines.  Successful applicants will join rapidly expanding research strengths in analytics and data science with opportunities to participate in multi-disciplinary collaborations across the university. 

These posts, from Lecturer (Assistant Professor) to Professor, will contribute to extending the research profile of data science at Exeter, particularly in areas related to machine learning, statistical science, data science, uncertainty quantification, high performance computing for data intensive science, databases and data management, text analytics, data visualisation and modelling.  We particularly welcome applications spanning more than one of these areas. 

The University of Exeter is a Russell Group university that combines world-class research with very high levels of student satisfaction. With over 21,000 students we are a global top 100 universities according to the Times Higher Education World University Rankings 2015-16. Exeter is also ranked 7th in The Times and The Sunday Times Good University Guide 2016, 9th in the Guardian University Guide 2016 and 10th in The Complete University Guide 2016. In the 2014 Research Excellence Framework (REF), the University ranked 16th nationally, with 98% of its research rated as being of international quality. 

Applicants are encouraged to contact the Dean of the College of Engineering, Mathematics and Physical Scences, Prof Ken Evans (tel: +44 1392-723648, email:K.E....@exeter.ac.uk) to discuss the posts further. Informal enquiries can be made to Profs Richard Everson (tel: 01392-724065, email: R.M.E...@exeter.ac.uk) and David Stephenson (tel: +44 1392 725275, email: D.B.Ste...@exeter.ac.uk). 

Please see http://tinyurl.com/exeter-data-science for the full advertisement and links to the application. 

Closing date for applications: 14th April 2016. 

The University of Exeter is an equal opportunity employer which is 'Positive about Disabled People'. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. 

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2 PhD Positions in Big Data Analytics, University of Copenhagen

Introduction 

1-2 PhD positions are available at the Department of Computer Science, University of Copenhagen (DIKU). The PhD student(s) should start between August 1st 2016 and January 1st, 2017.

The PhD students will be part of strong team in algorithms and machine learning at DIKU, working on theoretical computer science published in e.g. STOC, FOCS, SODA, NIPS, ICML, AISTATS and COLT, but also conducting experimental work in cooperation with industry partners. We have access to huge data and the experimental work is expected to have impact on at least millions of people.

The PhD student(s) and the team are part of the DAnish Center for Big Data Analytics and Innovation (DABAI).  DABAI involves researchers from University of Copenhagen, Technical University of Denmark and Aarhus University. The PhD student(s) will work with colleagues from all the involved universities but will be anchored at the Algorithm research group at University of Copenhagen.

The team at DIKU - involved in DABAI - is involved in other strong Big Data initiatives. More information about these initiatives and the team can be found athttps://sites.google.com/site/dabaidiku/

Expectations
The PhD student(s) should - during the project - produce strong theory papers, experimental papers, some implementation, and cooperate with other researchers from different departments and universities, in addition to cooperation with industry partners.  That includes working on theory and implementation of algorithms for the domains in focus in the project. The primary industry partner/focus for the team at DIKU will be companies making software for education. Therefore, the cooperation with companies will e.g. focus on optimizing personalized learning and recommender systems for efficient decision support in educational learning.

Qualifications
Applicants should hold an MSc degree - from an internationally recognized University. The MSc thesis should be in an area relevant for the project, e.g., algorithms, machine learning, mathematics, or information retrieval. Candidates who do not yet have their MSc degree, but who are expecting to be able to enroll August 1st, 2016 or latest January 1st, 2017 should specify the expected date of graduation, confirmed by their main MSc supervisor.

Among the qualified candidates, criteria to be considered include, among others:

-Published research papers at highly recognized venues
-High grades in algorithms, mathematics, machine learning, and other relevant courses
-Recommendations from highly recognized researchers in algorithms and machine learning
-Previous experience in Big Data Analytics implementation,
-Excellent English skills, written and oral (if coming from non-English speaking countries, proof of passing English language tests and/or graduate education in English)
-Good communication and interpersonal skills

Applicants must document their successful MSc studies by a high-grade average. If the applicant’s MSc work has resulted in a publication (accepted or in draft) this is considered a strong advantage.

The applicants should submit as part of the application a recommendation letter from one of the researchers athttps://sites.google.com/site/dabaidiku/. To get such a recommendation, email Henrik Hochreuter: h...@di.ku.dkand specify which researcher you wish to get in contact with, and also attach the necessary information needed to make a recommendation (e.g. cv, grades transcript).

Application

Applicants are requested to submit their application below including:

-A cover letter (max. 1 page) including two lines of motivation, stating when the applicant can start, and any information needed to read and understand the remaining appendix.
-Recommendation from one of the researchers at DABAI as stated above.
-Curriculum vitae (max. 2 pages)
-List of publications (if relevant) incl. papers accepted or submitted for publication and title of thesis.
-Title and abstract of MSc thesis
-Transcript of university examinations (in English)
-Contact details of 1-2 persons for references
-Letters of recommendation from researchers not associated DABAI at DIKU.

Procedures and shortlisting

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. An expert assessment committee decides if the applicant is qualified or not. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant himself/herself. The Head of Department, based on the recommendations of the assessment committee, will make the final selection of successful candidates.

Terms of salary and employment
Terms of appointment and payment are in accordance with the agreement between the Danish Ministry of Finance and the Danish Federation of Professional Associations (AC). The appointment is for a period of 3 years and must lead to a dissertation.

 The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is June 15, 2016.

Applications received after the deadline, or with insufficient documentation or otherwise not complying with the above requirements, June not be considered. It is expected that the successful candidate will be enrolled at the PhD School of the Faculty of Science, August 1, 2016 or latest January 1, 2017.

Further information can be obtained via email to:
Henrik Hochreuter: h...@di.ku.dk

APPLY NOW VIA

http://employment.ku.dk/phd/

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career

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Postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London

Title
==================================================== 
Postdoctoral position in Machine Learning and Computational Biology 

Position 
==================================================== 
Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London. 

Description of job and requirements
===================================================
The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position. 

The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology. 

Location of the position
===================================================
This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.uk/). 

Duration
===================================================
This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months. 

Salary
===================================================
The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance. 
The position is funded by a joint BBSRC/NSF grant. 
To apply go to: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0316-094 

Contact for correspondence
===================================================
For an informal discussion about the post, please contact Prof Alberto Paccanaro, alb...@cs.rhul.ac.uk. 
The Human Resources Department can be contacted with queries by email at: recru...@rhul.ac.uk. 
Please quote the reference: 0316-094. 

Deadline/closing date
===================================================
Closing Date:  Midnight, 10th April 2016. 

Interview Date: To be confirmed. 

The College is committed to equality and diversity, and encourages applications from all sections of the community. 

For more scholarships
===================================================
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Four open MARIE S. CURIE PhD positions at University of Deusto (Bilbao, Spain) in Artificial Intelligence, ITS, Seamless Positioning and Vehicular Communications

The DeustoTech Mobility Research Laboratory (http://goo.gl/FexrWt) from 
the University of Deusto (Bilbao, Spain) is looking for four full-time 
PhD students. The position is offered in the frame of the Horizon 2020 
Marie Sklodowska-Curie COFUND Programme (http://goo.gl/GeWHW7). The 
grant will have duration of 3 years under a regular employment contract 
with full social security coverage. The gross monthly salary (including 
social security, before taxes) will be approximately 2.600€. 

*LAST CALL: DEADLINE NEXT SATURDAY* 

*TOPICS* 

The topics for the positions are the following: 

     Topic 1. A social cooperative monitoring tool for the production of 
inclusive public spaces (https://goo.gl/eV68Vx). Contact: Alfonso 
Bahillo, at alfonso...@deusto.es 
     Topic 2. Communication and application protocols to support the 
coexistence of automated and conventional vehicles 
(https://goo.gl/lZmgzf). Contact:  Unai Hernández, at 
unai.he...@deusto.es 
     Topic 3. Ensemble Data Mining by SoftComputing Techniques in Big 
Data traffic environments (https://goo.gl/5rJYff). Contact: Enrique 
Onieva, at enrique...@deusto.es 
     Topic 4. Soft Computing and Big Data Mining Techniques for reliable 
travel time prediction (https://goo.gl/ZbXQH9). Contact: Antonio D. 
Masegosa, at ad.ma...@deusto.es 

*REQUIREMENTS* 

     - An official Master’s degree in Computer Science, or related field. 
     - An excellent academic record (grades of B or higher). 
     - Advanced command of English (minimum C1 or equivalent). 
     - Interest in research and ability to work both independently and 
in team. 
     - Early Stage Researchers rule: Applicants shall be in the first 
four years (full-time equivalent research experience) of their research 
careers and not yet have been awarded a doctoral degree. 
     - Mobility rule: At the time of the relevant deadline for 
submission of proposals, researchers shall not have resided or carried 
out their main activity (work, studies, etc.) in Spain for more than 12 
months in the 3 years immediately prior to the reference date. 
Compulsory national service and/or short stays such as holidays are not 
taken into account. 

For more details about requirements please visit  http://goo.gl/epFPKj. 

*PROCEDURE AND DEADLINE FOR APPLICATIONS* 

Applicants should forward their CV, academic transcripts, two reference 
letters, proof of writing skills (paper, article or thesis), a cover 
letter (max. 800 words), and a motivation letter (max. 800 words) about 
why they choose the topic, to the corresponding contact person indicated 
above. 

*THE DEADLINE FOR APPLICATIONS IS MARCH 19, 2016* 

A pre-selection will be made from amongst the submitted applications. 
The next step will involve an online application. 

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Health Data Scientist Position at University of Manchester

Health Data Scientist

The University of Manchester - Medical & Human Sciences, Institute of Population Health, Centre for Health Informatics

Location:	Manchester
Salary:	£30,738 to £37,768 per annum
Hours:	Full Time
Contract Type:	Contract / Temporary

Placed on:	8th March 2016
Closes:	8th April 2016
Job Ref:	M&HS-07879
★ View Employer Profile

Closing date : 08/04/2016

Reference : M&HS-07879

Faculty / Organisational unit : Medical & Human Sciences

School / Directorate : Institute of Population Health

Division : Centre for Health Informatics

Employment type : Fixed Term

Duration : until 31/01/2018

Location : Oxford Road, Manchester

Salary : £30,738 - £37,768 per annum

Hours per week : 1.0 FTE

The Centre for Health Informatics is seeking a research associate in health data science to drive innovation at the interface between biostatistics, machine learning, and software engineering. Working with clinical, IT and healthcare data experts, you will drive the modelling of health data using state-of-the-art methods from biostatistics and machine learning.

You will have previous relevant experience in academia or industry encompassing a strong mathematical element and significant statistical knowledge. You will be educated to PhD level in Statistics, Machine Learning, or related fields; have experience in the analysis of complex healthcare problems and datasets; and have significant statistical modelling and programming experience.  Candidates without a PhD will be considered if they have significant demonstrable research and/or industry experience and are in possession of a relevant higher degree.

Domain knowledge of statistical and machine learning analyses of health, biological or social datasets; epidemiological models and complex causal inference; and multi-level regression are highly sought.  Experience of training others in statistical analysis and machine learning are also desirable.

The Institute of Population Health is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The Institute received a Bronze Award in 2013 for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visithttp://www.mhs.manchester.ac.uk/about-us/athena/.

Enquiries about the vacancy, shortlisting and interviews:

Niels Peek, Reader in Health Informatics

Email: niels.peek@manchester.ac.uk

Tel: 0161 306 0674

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 01565 818 234

Date of external posting:     Tuesday 8 March 2016.

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button below to find out more.

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