Sunday, February 21, 2016

JOBs - Sr. Data Scientist - Expedia, Inc. - USA

View Job Cart (0)Send This Job to a FriendView My Account

Sr. Data Scientist

Job ID #:	41522
Company:	Expedia, Inc.
Location:	USA - WA - Bellevue
Functional Area:	Business Analytics
Employment Type:	Full-Time Regular
Education Required:	Masters
Experience Required:	3-5 Years
Relocation Provided:	Yes

Position Description

Sr. Data Scientist
JOB PURPOSE
Are you excited about solving real world problems with advanced math and machine learning?
Expedia has an exciting and challenging opening for a data scientist / machine learning practitioner.
We are looking for someone with advanced training in computer science, machine learning or an equivalent field whose skills span the complete project cycle, from data wrangling, to modeling to feature implementation and monitoring.

Areas where we do advanced work include:

Recommender systems
Time series analysis
Auctions
Incentive systems and feedback loops
Purchase propensity

Your focus will be developing state of the art algorithms that power both our consumer facing and supplier facing websites. Key problems that we address include consumer travel search and supplier pricing recommendations.

This is an applied research position, so while you will be given the flexibility to pursue new and interesting ideas, the main focus will be developing production algorithms supporting features of the website. Applicants who have competed in one of our Kaggle competitions will be given special consideration.

RESPONSIBILITIES

Understand the business problem, identify the key challenges, formulate the machine learning problem and provide/prototype solutions
Be able to debug and correct your assumptions through AB testing
Document the technical details of your work
Collaborate and brainstorm with other team members
Guide and mentor junior data scientists in best practices regarding methodology (prototype formulation and hypothesis testing), as well as implementation
Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system when facing a business problem.
Collaborate extensively with stakeholders, program management, and software development team members to ensure that solutions meet business needs, permit valid inferences, and have functional feasibility.

REQUIREMENTS

Strong communication skills both written and oral
Master’s degree or PhD in machine learning, computer science or equivalent work experience
Strong programming skills, proficiency with one of low level languages such as c++/java, and one scripting language such as python/R/scala
Experiences with distributed computing (Hadoop/Spark)
3-5 years’ experience of working with real data (data cleaning, data visualization and modeling)
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications

About Expedia, Inc.

Our mission is to revolutionize travel through the power of technology.

Collectively, the Expedia, Inc. brands cover virtually every aspect of researching, planning, and booking travel, from choosing the best airplane seat, to reading personal travel reviews of hotels, to planning what to do in a destination once you arrive. The Expedia, Inc. portfolio serves both leisure and business travelers with tastes and budgets ranging from modest to luxury. Expedia delivers consumer travel demand from nearly every continent to nearly 149,000 hotels and hundreds of airlines, tour operators, car rental companies and destination services supply partners. Please visit http://bit.ly/expediabrands to learn more about our travel brands.

This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

For More Jobs and Scholarships

Join us @ Xplore Scholarship Group

Friday, February 19, 2016

Australia Awards Scholarships for Indo-Pacific Region (Developing Countries)

Australia Awards Scholarships

About Australia Awards Scholarships

Awardees at an Australia Awards Leadership Conference in Canberra, Australia

Australia Awards Scholarships are long term development awards administered by the Department of Foreign Affairs and Trade.

They aim to contribute to the long term development needs of Australia's partner countries in line with bilateral and regional agreements.

They provide opportunities for people from developing countries, particularly those countries located in the Indo-Pacific region, to undertake full time undergraduate or postgraduate study at participating Australian universities and Technical and Further Education (TAFE) institutions.

The study and research opportunities provided by Australia Awards Scholarships develop skills and knowledge of individuals to drive change and contribute to the development outcomes of their own country.

Awards benefits

The Awards are offered for the minimum period necessary for the individual to complete the academic program specified by the Australian higher education institution, including any preparatory training. The following benefits generally apply:

Full tuition fees
Return air travel—payment of a single return, economy class airfare to and from Australia, via the most direct route
Establishment allowance—a once only payment of A$5,000 as a contribution towards accommodation expenses, text books, study materials
Contribution to Living Expenses (CLE) – is a fortnightly contribution to basic living expenses paid at a rate determined by the department. From 1 January 2013, CLE payable to awardees is A$30,000 per year.
Introductory Academic Program (IAP)—a compulsory 4-6 week program prior to the commencement of formal academic studies covering information on life and study in Australia
Overseas Student Health Cover (OSHC) for the duration of the award (for award holder only)—provided to cover the student's basic medical costs (with the exception of pre-existing conditions)
Pre-course English (PCE) fees—if deemed necessary PCE may be available for students for in-country and/or in-Australia training
Supplementary Academic Support may be available to ensure a Scholar's academic success or enhance their academic experience
Fieldwork (for research awardees and Master by coursework which has a research component where fieldwork is compulsory component)—may be available for eligible research students for one return economy class airfare via the most direct route to their country of citizenship or within Australia.

Award conditions

Applicants who want to accept an Australia Awards Scholarship will need to sign a contract with the Commonwealth of Australia declaring that they will comply with the conditions of the scholarship.

Awardees are required to leave Australia for a minimum of two years after completing their scholarship. Failure to do so will result in the awardee incurring a debt for the total accrued cost of their scholarship.

Supplementary programs

Allison Sudradjat Prize

The top Australia Award Scholarship recipients from Indonesia and PNG may also be eligible to receive an Allison Sudradjat Prize.

Hadi Soesastro Prize

The prize offers study assistance of up to $25,000 for one male and one female Australia Awards Scholarship recipient.

Recipients from Indonesia who are undertaking high level research and skill development at an Australian University are eligible to receive a Hadi Soesastro Prize.

How to apply

Information on how to apply for an Australia Awards Scholarship

Country information:

More information

Frequently asked questions

For More Scholarships

Join Us @ Xplore Scholarships

MS/PhD - Applied Chemistry - Kyung Hee University, South Korea

Study Level

Graduate (MS/PhD)

Subject of Study

Programmable Nanomaterials Laboratory (PNL, http://nanolab.khu.ac.kr) at Department of Applied Chemistry, Kyung Hee University (www.khu.ac.kr) is looking for highly self-motivated students to study in graduate programs (MS/PhD combined degree).

Study Focus

PNL students have been focused on nanotechnology and its application for energy generation, conversions and storages. PNL has funded by Korean government, Korean national labs, and Samsung Electronics due to publications in top journals in chemistry.

Research Areas

Solar-to-chemical energy conversion (water splitting, CO2 conversion)
Novel Nanopatterning for plasmonics and electronic applications
Energy storages (supercapacitors, Li-ion Batteries)
Nanogenerators (piezoelectric and triboelectric generators)

Requirements

Education and research background in Chemistry and Material Sciences or related fields
Students with hands-on experience in Li-ion battery and supercapacitor, or nanomaterial
synthesis (TEM, XPS, XRD analysis knowledge) will be the first choice.
Decent English for communications (English test score of TOEFL, IELTS, TOEIC, or TEPS is
required)
Motivated statements of research purpose
Meet the admission requirements of the Kyung Hee University

Sponsorship and Benefit

Sponsor: Kyung Hee University and Brain Korea 21+ (BK 21+)
Scholarship coverage: 100% (but can be changed depending on funding)
Or students recommend to apply for graduate scholarship program by Korean governments (http://www.studyinkorea.go.kr)

Monthly Stipend:

International and domestic conferences:

MRS (USA), EMRS (Europe), KCS (Korea), etc.

Location of the university:

Yongin (30 ~ 50 min. driving from Gangnam, Seoul), South Korea

Contact information

Students who have interests in applying the graduate program at energy related nanoscience of PNL, please send resume and motivational statements of research to Prof. Min Hyung Lee (minhlee@khu.ac.kr)
* Contact the professor after reading these guidelines and contact only if you have read these files. Do not bombard professor email with irrelevant and less info and reducing yours and other eligible Pakistanis chances of selection

Contact information

Lab: http://nanolab.khu.ac.kr/Home.html
University: www.khu.ac.kr

For more scholarships

Join Xplore Scholarship

Tuesday, February 16, 2016

James Watt PhD Scholarships - Heriot-Watt University UK (31st March 2016)

PhD project vacancies

PhD projects and funding opportunities in School of Engineering & Physical Sciences:

Applications for suitably qualified PhD students are accepted all year round. A list of some recently advertised projects are listed below. Please see more information about how to apply for a PhD.

We have world-leading expertise in Vision, Image and Signal Processing, Ocean Systems, Microengineering, Microwaves and Electrical Power and Drives. We also participate in severalresearch pooling initiatives.

Our team of world-leading scientists and engineers has expertise across a broad field of electrical engineering and access to state-of-art facilities, which can assist our industrial partners to resolve existing technical problems and secure leading position in future markets.

You may contact the named supervisor about a particular project opportunity. For more general enquiries, please contact Dr Changhai Wang or Karen Paterson in our postgraduate research office (pgr.eps@eps.hw.ac.uk).

James Watt Scholarships

As part of an ambitious expansion programme to intensify further our world-leading research programmes, Heriot-Watt University is offering a fourth round of James Watt Scholarships in the School of Engineering & Physical Sciences.

The James Watt scholarships will provide full fees and stipend for 3 years from Autumn 2016.

James Watt Scholarship projects leading to a PhD in Electrical Engineering

JWS2016/13 Chlorophyll to grow metals onto non conductive surfaces

We are looking at a student with a material science or engineering background interested in using nature best light harvesting complexes to grow metals into non conductive surfaces. In collaboration with Loughborough University, the applications of your research will impact on 3D printing, electronics and prosthetics.

Supervisor: Prof. Marc Desmulliez, email: m.desmulliez@hw.ac.uk

JWS2016/14 Radio frequency and antenna engineering for space applications

The Microwave and Antenna Engineering Group at Heriot-Watt is working closely with national and international agencies (ESA, NASA, RAL Space) as well as Europe’s leading enterprises to deliver R&D at the forefront of space technologies (see also http://home.eps.hw.ac.uk/~gg35/). Opportunities are available for collaborative PhD projects with aforementioned organisations across a range of topics that include; atmospheric propagation at Q-band, active and passive RF payload components, mm-wave electronics, antenna engineering as well as satellite communication system design.

Supervisor: Prof. George Goussetis, email: G.Goussetis@hw.ac.uk

JWS2016/15 Transceiver Designs for Large Scale Antenna Systems at Millimeter-Wave Frequencies

We are seeking to recruit a highly motivated student willing to work on a research project entitled “Large Scale Antenna Systems Made Practical: Advanced Signal Processing for Compact Deployments [LSAS-SP]” sponsored by UK research council, Bell-Labs, NJ, USA and QinetiQ, UK. See http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/M014126/1 for details. The PhD thesis will explore signal processing techniques for efficient analogue/digital beamforming, precoding and receiver designs for Large Scale Antenna Systems at mm-wave frequencies.

Supervisor: Dr Mathini Sellaturai, email: M.Sellathurai@hw.ac.uk

JWS2016/16 Smart Interfaces for Converged Wireless and Optical Networks

For the end-to-end design and performance evaluation of converged wireless and optical networks, methods for seamless physical interconnection of a variety of technologies are indispensable. This project aims to design novel agile, programmable, and scalable interfaces interconnecting different wireless and optical technologies at the transport layer.

Supervisor: Dr Cheng-Xiang Wang, email: Cheng-Xiang.Wang@hw.ac.uk

JWS2016/17 Analysis of Raman spectra using hyperspectral imaging methods

Raman spectroscopy is a powerful technique for light/matter interaction analysis which can be used in chemistry to detect, identify and quantify specific molecules. Although produced by different acquisition systems, Raman spectra and reflectance spectra recorded by passive hyperspectral sensors for remote sensing applications (e.g., earth and space observation) present many similarities. The aim of this project is to develop new computational tools for Raman spectroscopy, inspired by models and methods dedicated to hyperspectral image analysis (e.g., classification, source separation, non-stationary processes).

Supervisor: Prof Stephen McLaughlin, email: s.mclaughlin@hw.ac.uk

JWS2016/18 RF signal processing for the networked battlespace

In this project you will research new algorithms and sensors for RF signal detection in hostile environments from a network of mixed quality sensors. You will particularly focus on the signal processing algorithms to detect, identify and locate the source of various RF signals in difficult environments with high levels of background noise and strong fading channels.

Supervisors: Dr Mathini Sellaturai, email: M.Sellathurai@hw.ac.uk and Prof. George Goussetis, email: G.Goussetis@hw.ac.uk

JWS2016/19 Compressive Sensing for Interferometry: new imaging techniques for transformational science

The transformational science envisaged for the next decades in astronomy requires that future telescopes, such as the flagship Square Kilometer Array (SKA), achieve unprecedented dynamic ranges and angular resolutions on wide frequency bands. In this context, interferometric imaging techniques literally and urgently need to be re-invented. The project will leverage the theory of compressive sampling to help defining new sensing and reconstruction approaches for ultra-high resolution wide-band imaging. Fast reconstruction algorithms capable of handling Big Data will be studied and adapted to multi-core computing architectures.

Supervisor: Dr Yves Wiaux, email: y.wiaux@hw.ac.uk

How to apply for James Watt Scholarship

For more information about how to apply, please see the full list of James Watt Scholarship projects.

Development, evaluation and comparison of algorithms for LiDAR and Radar automotive sensing in bad weather.

Professors Andrew Wallace and Gerald Buller

Applications accepted all year round

Funded PhD Project

Project Description

Optical sensors perform poorly in fog, rain and snow, but new developments in, for example, full waveform processing of LiDAR developed at HWU may extend the instrumental capability in poor weather. Similarly, 3D mapping (stereo, optical flow) and scene interpretation from video data is adversely affected when the target signature and any subsequent feature vector is degraded. Radar and THz imaging perform well in adverse conditions, but have lower frame rates and poorer resolution.

This is an opportunity for a new PhD student to join a newly formed collaborative project between the Universities of Heriot-Watt, Birmingham and Edinburgh, and Jaguar Land Rover to develop, compare and contrast new approaches to 3D scene building and object (e.g. pedestrians, vehicles, termed ‘actors’) identification in adverse weather, unlike the vast majority of current autonomous and assisted vehicle sensing projects that use benchmark data sets and scenarios in favourable conditions. The student will work with a fully equipped test vehicle or vehicles, with video, LiDAR and low THZ Radar sensors, as well as the usual GPS and road mapping data.

We will consider students with a good undergraduate or postgraduate background in Electrical or Software Engineering, or Physics, although an ability to develop, implement and evaluate algorithms and conduct experiments is essential.

Heriot-Watt’s Institutes of Signals, Sensors and Systems, and Photonics and Quantum Sciences offer a thriving environment for PhD research, with over 100 active academics and researchers in each institute. Heriot-Watt is based in a modern environment on the outskirts of Edinburgh, with excellent transport links to the centre of one of Europe’s most exciting cities. For further information about our many and varied research programmes please refer to http://www.hw.ac.uk/schools/engineering-physical-sciences/.

Funding Notes

All tuition fees are paid and we offer an enhanced stipend for 3.5 years.

References and Application

Please supply academic transcripts and 2 reference letters or 2 reference contact names. If applying for this position online, please ensure that you provide a reference to this position.

Further Information

For further information about the JLR/EPSRC initiative and the project portfolio, see

https://www.epsrc.ac.uk/newsevents/news/jlrannouncesautonomousvehicalresearchprogramme/.

For informal enquires about the position, please contact a.m.wallace@hw.ac.uk in the first instance.

For more Scholarships Visit:
Xplore Scholarships Group