A postdoc and   Ph.D. position is offered at Inria Lille, in collaboration with CWI, Amsterdam.
The successful applicants will work with Daniil Ryabko at Inria, and will collaborate
with Peter Grünwald at CWI, Amsterdam, spending some of  time in Amsterdam.
(For postdoc between 3 and 6 months.)

Application Deadline: 26/04/2015, but better apply earlier
Duration: 36 months for PhD, 16 months for postdoc
Starting date: October, 2015

Please contact Daniil dot Ryabko at inria.fr before applying, with  [phd] in the subject line.

The topic is non-parametric sequential prediction.
The topic belongs to the areas of machine learning and (extremely) nonparametric statistics. The central theme of this topic is to explore which regularities are "learnable" from sequential data.
Specifically, this general question is considered for the problem of probability forecasting, that is, predicting the probabilities of future outcomes of a series of events given the past. The question to be addressed is: under which assumptions on the stochastic mechanism generating the data is it possible to give forecasts whose error becomes negligible as more data becomes available? Here we specifically allow for the possibility that the predictions are based on a model that is `wrong yet useful', i.e. it does not contain the data generating mechanism. In this 'nonrealizable' or 'misspecified' case, the question becomes: under what conditions it is possible to give forecasts that converge to the best available ones as more data becomes available?

Questions of this kind find applications in a variety of fields, such as finance, data compression, bioinformatics, environmental sciences,  and many others. However, the research topic is mainly about theoretical foundations rather than applications.


Background papers: paper1 (Ryabko), paper2 (Ryabko), paper3 (Grünwald/van Ommen)

The successful applicant will have a strong mathematical background with an M.Sc. in mathematics, computer science or statistics.


About Inria and the job

Established in 1967, Inria is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria’s 3,500 researchers
with 350 working at the Inria  centre in Lille.

Lille is only 1h away from Paris, 34min from Brussels and 1h30 from London -  all by train.

Benefits: Possibility of French courses, Help for housing, Financial support from Inria to catering and transportation expenses, Scientific Resident card and help for visa, Catering service

Monthly salary after taxes: around 1580 € the 1st two years and 1660 € the 3rd year (social security included).

About CWI:

CWI is the national research institute for mathematics and computer science in the Netherlands, located in Amsterdam. It conducts pioneering research in these fields and transfers its results to society. With 55 permanent research staff, 40 postdocs and 70 PhD students, CWI is a compact institute that lies at the heart of European research in mathematics and computer science. It was the birthplace of the European internet and was home to the invention of the popular programming language Python. CWI is located within easy biking distance from the centre of one of Europe's most beautiful, lively and international cities.
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Pulse Lab Jakarta is a joint programme between the United Nations and
Government of Indonesia through UN Global Pulse (http://unglobalpulse.org/)
and the Indonesian Ministry of National Development Planning (Bappenas).
Our mission is to harness big data for development and humanitarian action
and an internship at our lab can offer you a distinguished, unique
opportunity to help tackle development challenges with the public sector,
applying your skills around data analytics, modeling and visualization.



As a data innovation lab, the Research team at Pulse Lab Jakarta, together
with our colleagues in Pulse Lab New York and Pulse Lab Kampala, are
exploring various opportunities of applying big data in different sectors,
such as food security, public health, urban dynamics and economic
well-being, with different types of big data, such as social media, online
news, remote sensing, and online search keywords. This year, in particular,
we hope to test other methodologies and approaches by using other data
sources, e.g., financial transactions and mobility data.



We are looking for talented PhD students who have already published papers
at top-tier conferences and journals in a broad area of data science,
including (but not limited to) social media analysis, user behavior
modeling, statistical model, informational retrieval, NLP, predictive
analytics, complex network analysis, geospatial analysis, image processing,
and data visualization.



Starting dates and internship are negotiable depending on the selected
candidates' availability (preferably, two to three months, at least).
Applications for the internship should be received by *April 24th, 2015**. *
Please submit an application with your CV and motivation letter (clearly
highlighting the speciality, previous research, and/or which sector you
want to work in, if any) to Jong Gun Lee, the Data Scientist and Research
Lead at Pulse Lab Jakarta, jonggun.lee@un.or.id. Applications will be
evaluated on a rolling basis. We will invite shortlisted candidates for
interviews.

Applications for Türkiye Scholarships will start by February 25th. The application deadline is 31st March 2015. Applications for undergraduate, master and PhD programmes will received through the same application cycle.

The application to Türkiye Scholarships programmes is online and totally free process.

Candidates can apply only one scholarship programme in accordance with their educational background and academic goals.

Türkiye Scholarships include both scholarship and university placement at the same time. Applicants will be placed in a university and programme among their preferences specified in the online application form.

Most programmes in Turkish universities are instructed in Turkish. However, some departments and universities offer programmes in English or French. The candidates who want to study in these languages need to have an internationally recognized certificate to prove their language proficiency. Also, most of these foreign language programmes may ask international admission test scores such as GRE, GMAT etc. Candidates can check the language of instruction while selecting the programmes.

All Türkiye Scholarships winners who do not have C1 Level Certificate for Turkish Proficiency (including those who are placed into English or French-taught programmes) must attend 1-year Turkish Preparatory Course.

Art and Sport Scholarship Programmes, available for the first time this year, is specifically designed to encourage the skilled international students in the fields of art and sport to study at undergraduate, master or PhD (proficieny in art) degree levels in the prestigious Turkish universities with opportunities of Türkiye Scholarships. Applicants selected to be funded take one-year Turkish Language Course covered by scholarship. Subsequently, they have to receive an acceptance from the relevant faculties of Turkish universities. Applicants are expected to have documents (offical certificate, portfolio, etc.) to prove their success in the field they apply for.

The Scholarship Covers...

• Monthly stipend (600 TL for undergraduate, 850 TL for master and 1200 TL for PhD )
• Full tuition fee
• Free 1-year Turkish language course
• Free accommodation
• Round-trip air ticket
• Health insurance

 

To be eligible for Undergraduate Programmes, applicants must;

• be a citizen of a country other than Turkey (Anyone holding or ever held Turkish citizenship before cannot apply),
• not be a registered student in Turkish universities at the level of study they are applying,
• be have graduated or are likely to graduate from a secondary education institution,
• be under the age of 21 (no earlier than 01.01.1994),
• have at least specified (% 90 for medical sciences, % 70 for other undergraduate programs) cumulative grade point average, diploma grade, national exam or international exam score,
• be in good health

 

To be eligible for Postgraduate Programmes, applicants must;

• be a citizen of a country other than Turkey (Anyone holding or ever held Turkish citizenship before cannot apply)
• not be a registered student in Turkish universities at the level of study they are applying.
• be a bachelor's or master's degree holder by 30th of July 2015 at the latest
• be under the age of 30 for master's programmes (no earlier than 01.01.1985)
• be under the age of 35 for doctorate programmes (no earlier than 01.01.1980)
• have at least 75 % cumulative grade point average or diploma grade over their maximum graduation grade or have at least 75 % success in any accepted national or international graduate admissions test.
• be in good health

 

Required Documents

Undergraduate Level

• Online application
• A copy of a secondary school diploma or document indicating that the candidate is secondary school senior student,
• A certified secondary school transcript (indicating courses taken and relevant grades of the candidate)
• A copy of a valid ID card (passport, national ID, birth certificate etc.)
• Passport photo

Postgraduate Level

 

• Online application
• A copy of a bachelor or master's diploma or document indicating that the candidate is bachelor or master's senior student
• A certified bachelor and/or master's transcript (indicating courses taken and relevant grades of the candidate)
• A copy of a valid ID card (passport, national ID, birth certificate etc.)
• Passport photo

Application Procedure

Candidates are supposed to;

• go to www.turkiyeburslari.gov.tr
• click the online application form,
• create an account by entering an e-mail and password,
• read the application guide,
• log in to the system and fill out the application form,
• upload the required documents,
• and finally finish the application.

 

Click here to reach the Scholarship Programmes brochures and applications

 

Click here to apply

http://www.exeter.ac.uk/studying/funding/award/?id=1809

PhD in Engineering: Water Management - Emergency planning in the Water Sector Ref: 1809

About the award

Location: Streatham Campus, University of Exeter, EX4 4QJ

Primary supervisor: Professor David Butler

Secondary supervisor: Dr Sarah Ward

Project Description: this PhD focuses on the important role of emergency planning and preparedness in the water sector.  The aim of the project is to explore the various threats or emergencies that are planned for and to understand the role of emergency planning in promoting water sector resilience.  Specific areas of study will be: plans relating to drought, flood response and water contamination incidents; how such plans are implemented and; how organisational learning (from a variety of sources) may result in revision or redevelopment of these plans. 

Close attention will be paid to how a plan is matched to a threat, subsequent impacts and potential consequences and to how appropriate standards or best practice have been developed. These plans will be compared and contrasted with other sectoral emergency plans (utility, infrastructure, health), local authority emergency plans and central government advice.  Methodologically, the PhD is quite flexible and a range of approaches that are complementary to the topic under study may be used. Such methods could include document content analysis, participant interviews, situational analysis or agent-based modelling.

The implications of different plans and planned responses will be incorporated into technical system models (developed by other team members) and their impact on the reliability, resilience and sustainability of the systems will be assessed. 

Recommendations for improved practice will be developed for a range of stakeholders and the candidate will facilitate project knowledge exchange, translation, communication and engagement.  This PhD forms a part of Professor David Butler’s EPSRC research fellowship on developing a new paradigm for ‘Safe SuRe’ urban water management in the UK in response to emerging challenges and global uncertainties. 

The successful candidate will work in a team of researchers embedded within the wider Centre for Water Systems at the University of Exeter.

Contact for Informal enquiries: Professor David Butler (01392 724064)

Application criteria

Applicants should have or expect to achieve at least a 2:1 Honours degree, or equivalent, in engineering, environmental science, geography, planning or allied subjects.

Summary

Application deadline:	27th March 2015

PhD Fellowship: ISGlobal, Universitat de Barcelona

Employer: ISGlobal, Universitat de Barcelona
Location: Barcelona, Spain
Deadline: April 5, 2015

Description

Euroleish.net, a Marie Sklodowska-Curie - Innovative Training Network, is offering a PhD Fellowship for the project: Economic Evaluation of Public-Private Partnerships (PPPs) for the Development of Drugs and Diagnostic Tools for Leishmaniasis and Other Neglected Tropical Diseases (NTDs) and Private Business Impact.

Hosting Institution: Barcelona Centre for International Health Research- ISGlobal
Principal Supervisor: Dr. Elisa Sicuri

Partner Institutions:
Swiss Tropical and Public Health Institute Foundation for Innovative New Diagnostics - FIND (Switzerland)

Objectives:

To evaluate the cost effectiveness of Public-Private Partnerships (PPPs) for the development of drugs and diagnostics for leishmaniasis and other NTDs from the public health perspective and the market/business impact.
Job Description:
Conduct a review of the literature on PPPs for the development of drugs and diagnostics for neglected tropical diseases
Estimate of the market/business and welfare impacts of PPPs for NTDs
Conduct a cost-effectiveness analysis comparing PPPs and standard market procedure for the development of drugs and diagnostic tools for leishmaniasis and other NTDs
Prepare manuscripts for the publication in peer reviewed journals and prepare the PhD thesis

Profile:

Background: Master of Science in economics/health economics

Essential:

ITN Requirements:
Experience: candidates must be in the first four years of their research career and not yet have a doctoral degree.
Mobility: candidates must not have resided or carried out their main activity in Spain for more than 12 months in the 3 years immediately prior to 1st July 2015.
EUROLEISH-NET Requirements:
English proficiency (oral and written)
Availability to join the CRESIB/ISGlobal on the 1st July 2015.
Fulfil academic requirements to enrol the PhD programme in International Health at University of Barcelona on the 1st July 2015 (see details here). Note: To get enrolled at the PhD programmes, the Spanish universities require an MSc degree in related topics to the field of the thesis for all science graduated students, except for those owning a degree on Pharmacy, Medicine or Veterinary Science.
Network Mobility: willing to spend a significant amount of time (minimum 6 months) in Partner institutions when required.

Desirable:

Enthusiastic student with high interest in the economics of poverty related diseases
Has very good quantitative and analytic skills
Able to work both independently and in team
Knowledge of Spanish and/or French is a plus

How to apply:
http://www.isglobal.org/en/web/guest/programme-train/-/asset_publisher/oSgA0dGQ1Hzi/content/euroleish-net#content3

__._,_.___

The EIS research group <http://eis.iai.uni-bonn.de/About.html> at the
University of Bonn in Germany is pleased to announce


*Three full time PhD student positions in the field of question answering on
interlinked datasets*


The successful candidates will carry out research towards a PhD on one
of the following topics: (1) Effectively and efficiently supporting
dataset maintainers in semi-automatically cleaning and enriching
datasets to make them fit for question answering. (2) Discovering and
retrieving datasets of a high quality for QA with a high precision and
recall; automating dataset quality assessment. (3) Efficient and precise
translation of natural language questions into structured queries
against a federated knowledge base.


The successful candidates will work in the Marie SkÅ,odowska-Curie
International Training Network WDAqua (Answering Questions using Web
Data), undertaking advanced fundamental and applied research into
models, methods, and tools for data-driven question answering on the
Web, spanning a diverse range of areas and disciplines (data analytics,
social computing, Linked Data, and Web science). They will participate
in the networkâ?Ts training schedule and perform internships with other
project partners. There will be no teaching obligation but teaching can
be arranged, if desired.


On top of a generous basic salary we offer a mobility allowance and, if
applicable, a family allowance. Initial appointment will be for one year
with a possible extension to 3 years. The position starts as soon as
possible. Initial appointment will be for one year with a possible
extension to 3 years.


*We offer:*


  * Two or more academic supervisors from the WDAqua network (the PhD

    student working on topic (1) will obtain a dual PhD degree with
    Université Jean Monnet Saint-�tienne, France)
  * A support grant to attend conferences, summer schools, and other
    events related to your research.
  * The possibility to obtain a discounted public transport ticket


*Requirements*


  * A Master degree in Computer Science or equivalent.
  * Not having resided/worked in Germany for more than 12 months in the
    3 years before starting the work (Marie SkÅ,odowska-Curie mobility rule)
  * Proficiency in spoken and written English. Proficiency in German is
    a plus.
  * Proficiency in Programming languages like Java/Scala or JavaScript,
    and modern software engineering methodology.
  * Familiarity with Semantic Web, Natural Language Processing, Indexing
    and Data Analytics is an asset.


*How to apply*


To apply, please send the following documents in pdf to
eis-leaders@lists.iai.uni-bonn.de before 28th February 2015.


  * CV
  * Master certificate or university transcripts
  * A motivation letter including a short research plan targeted to one
    of the topics listed above,
  * Two letters of recommendation
  * English writing sample (e.g. prior publication or master thesis
    excerpt).



Please direct informal enquiries to the same address or see
http://www.iai.uni-bonn.de/~langec/wdaqua/.


The University of Bonn is an equal opportunities employer. Preference
will be given to suitably qualified women or persons with disabilities,
all other considerations being equal.