Graduates of undergraduate programs in Computer Science are encouraged to apply for the Master of Science in Computer Science at Oxford University. This program is designed for individuals from this discipline, as well as those from related disciplines, who have some level of training or hands-on experience in programming. It is also applicable for individuals who were previously or are currently employed in a professional related industry.

This full-time program of study teaches a range of advanced topics and methods, as well as foundational subjects, to aid computer science graduates in lifelong career success. Lasting twelve months and extending from October to September, this program is not offered in a part-time format. 51 places are available, with a whopping 519 applications received each year.

Applicants need not be from computer science backgrounds, but can be those who have strong mathematical abilities and have undertaken programming tasks in the past. It is designed for candidates who are interested in finding out more about the ideas and principles behind programming, as experienced programmers in both industrial and commercial settings have expressed a need for trainees who are skilled in the formal methods needed to work with unreliable or faulty software.

Graduates in this program will be able to expand their base knowledge in specialized topics, as well as to develop an improved understanding of the mathematics of computing. They will be able to apply their training to the fundamental techniques of computer science.

Oxford also offers multiple DeepMind Computer Science Scholarships each year. These awards are for students wishing to pursue graduate study in Oxford’s Department of Computer Science. They are open to UK residents and students who identify as female, BME, or from households with low socioeconomic status. There is no separate scholarship application process. All application materials such be submitted to the admissions department by one of the three stated deadlines, but to be considered for the scholarship, materials must be received by January.

All materials must be submitted no later than noon on January 7, 2022. Questions may be directed to Tim Jones, the Master of Science Course Administrator, at graduate.admissions@cs.ox.

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Jobs at Apple are rewarding and enriching, both personally and professionally. They are available in a wide range of fields, including in stores, corporate workings, and at home. Apple also offers several internship opportunities to qualified students.

On November 9, 2017, Apple announced the Data Science and Machine Learning Internship through Apple Maps. This job is located in Santa Clara Valley, California and requires a full forty hours of work a week.

The intern will join the Apple Maps Routing and Traffic team in 2018. This team works on some of the most challenging and significant big data issues in the modern computer engineering field. The group works to make sense of petabytes of data in order to deliver critical navigational functionality for the millions of users who depend on the success of Apple Maps.

This internship is a great opportunity for a motivated, talented student looking to apply his or her coding and machine learning skills to a large, significant application. The ideal intern will have experience in machine learning theory and practice, in particular neural networks and sequence-based models. He or she will also have used machine learning software such as Python Sci-Kit, TensorFlow, Weka, MATLAB, or R. The successful candidate will have in-depth experience in Java or Python, along with CS fundamentals and object-oriented programming. Experience with Hadoop or Spark is an additional bonus.

This internship will allow the candidate to practice skills necessary to develop novel solutions to improve the quality of traffic information, routes, navigation, and ETA using large-scale streaming data. Interns will work closely with experts in machine learning and traffic and solve interesting data-driven projects. Interns should be currently enrolled in Ph.D. studies in Computer Science, Mathematics, Statistics, Civil Engineering (Traffic with a data science focus), or a related field.

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The Facebook Artificial Intelligence (AI) Research Residency Program seeks applicants for its 2018-2019 program. This one-year residency is designed to give candidates hands-on experience in machine learning research. Successful residents are paired with senior researchers or engineers, who will serve as mentors. Throughout the duration of the program, researchers will work to research a problem of mutual interest and incorporate new techniques to solve that problem.

Collaboration will occur both with the mentor and with other departments. Research will be communicated by the submission of papers to top academic venues, such as NIPS, ICML, ICLR, CVPR, and others, as well as open-source code releases. This is a full-time program that cannot be undertaken with any other employment or studies.

Upon completion of this residency, participants will be prepared for graduate programs in machine learning or to begin a successful research career in the field. Applications are encouraged from individuals with strong technical backgrounds who are passionate about AI research. Applicants with prior experience in machine learning are given preference, but this is not a requirement. Those with backgrounds in math, physics, finance, economics, linguistics, computational social science, and bioinformatics are encouraged to apply.

The successful applicant will have a Bachelor’s degree in a STEM field and coursework in Linear Algebra, Probability, and Calculus. He or she will also have coding experience in languages such as Python or C/C++. They will also have familiarity with platforms such as PyTorch, Caffee, Theano, or TensorFlow.

Residents will be based in Facebook Menlo Park and New York. If work visas are required, they may be obtained. Residents will learn how to perform research in deep learning and AI, and will understand prior work and existing literature. They will work with research mentors and translate ideas into code. They will also write up research results in academic papers.

Applicants should complete the online application and submit a CV/resume that includes links to GitHub, professional webpages, publications, or blog posts. They should also provide personal statements and academic transcripts.

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The Google Africa PhD Fellowship program was designed to provide support to and recognize exceptional students who are pursuing PhD level studies in computer science and related fields. Successful recipients of this award will be granted $10,000 per year over three years.This program provides funds directly to the university to cover the student’s expense, as well as a stipend if appropriate.

In addition to providing substantial funding to the selected fellows, Google will also match each student with a Google Research Mentor who will become a valuable component of this program for the student.

As an added perk of this fellowship, students will not be subjected to the same intellectual property and contractual obligations as other Google interns. They will not be considered Google employees. Internship opportunities at Google are available, if desired, but not mandatory.

To be eligible, students must be enrolled in a full-time PhD program at a university in Africa. First-year PhD students who are enrolled in a part-time program, but transferring to full-time, are also welcome to apply. Students should not be past the first year of their PhD, and must have started their program on or after January 1, 2017. Students must remain in their PhD programs for the duration of the fellowship.

Applicants must be pursuing PhDs in Computer Science or related areas. Employees or family members of employees of Google are not eligible, nor are students receiving other corporate fellowships.

To apply, students should submit complete documents in an online format. The student’s research interest must be specified from one of the areas listed at http://research.google.com. Applicants must also submit a resume with links to publications, as well as a resume and available transcripts. A research proposal (with a maximum of two pages) as well as three letters of recommendation should be submitted. Students must submit all materials by January 19th, 2018, and awards will be announced by mid-March. Questions and applications may be directed to research-africa@google.com

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The Google AI Residency Program (formerly known as the Google Brain Residency Program) is being offered starting in the summer of 2018. This year-long program is designed to advance participants’ careers in machine learning research. Residents will work with distinguished scientists from various teams in order to become established AI researchers.

This program was created in 2015 and has been recently expanded to include a broader group of research teams. This program allows residents to publish their work externally and develop a strong reputation in the field of research. Residents will conduct original, fundamental research and contribute to services utilized by millions of individuals.

This program is ideal for individuals who want to learn how to conduct machine learning research, especially in collaboration with other qualified researchers. Candidates with limited experience in machine learning or related fields may apply, as may those who have research experience in another field (such as mathematics, physics, bioinformatics, etc).

Qualified applicants will have a minimum of a Bachelor’s degree in a STEM field, such as Mathematics, Computer Science, or Statistics, or equivalent professional practical experience. They should have completed coursework in calculus, linear algebra, and probability, and have experience with programming languages such as C++ or Python.

Applicants must be able to submit proof of graduation from their current degree programs before beginning the residency. Candidates from any country may apply, and work visas will be supplied if needed. Students should also submit a resume, cover letter, transcript, and formal application. The application should demonstrate a formal interest in the field, along with any special proficiencies, awards, or skills. A formal CV should also be supplied, including a cover letter including a statement on why the applicant is qualified for the Google AI Residency.

All applications should be submitted by January 8, 2018. Interview will take place after the initial application review and running up until March 2018. Decisions will be announced in late March.

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California Institute of Technology (Caltech) invites qualified first-year applicants to its stellar undergraduate programs. The admissions team reads every application to get to know each student personally before making an admissions decision. Each student is more than a set of test scores and grades.

As a result, the Caltech team looks at academic ability by evaluating recommendations, grades, and test scores. Generally, most Caltech students are gifted in test-taking as a result of high mathematical and scientific abilities, but if this is not the case, the team will look more closely at applicant recommendations and other documents. Applications are not compared against each other, even if coming from the same high school. The admissions team will take into consideration the personal background of each applicant, as well as the secondary school profile.

It is recommended that students who have taken courses or completed research outside of school include those documents in the application. Students should indicate what, exactly, about math and science interests and excites them. The team also likes to read about how future students will impact the labs, classrooms, and community. The essay will ask students to explore and discuss an ethical dilemma that they have encountered.

To apply, students should submit the Common Application or the Coalition Application with specific Caltech questions. Students may also apply through the QuestBridge National College Match. Students should also submit a $75 application fee or fee waiver, standardized tests, teacher evaluations, a secondary school report, and academic transcripts. International students should also submit TOEFL scores and an International Financial Aid Statement of Intent.

International students are those who are not U.S. citizens or permanent residents. Financial aid is limited for international students, so it is important that all students who intend to apply for aid indicate likewise on their applications. International students must also have completed an approved curriculum required by Caltech, including, but not limited to, the IGCSE, O, AS, and A Level curriculums. IB, AP, and other options may also satisfy high school course requirements.

Students may apply as either Early Action or Regular Decision to Caltech. Early Action is non-binding and non-restrictive. However, international students may not receive financial aid if they apply early action. The deadline is November 1, with notifications sent in mid-December. Regular Decision applications must be received by January 3, with responses received in mid-March. For questions on admissions procedures, students should email admissions@caltech.edu.
 

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The Google Faculty Research Awards Program is created to help develop new technologies and future leaders. It recognizes and supports high-quality faculty in the process of conducting innovative research in relevant fields. Google maintains close connections with top-ranked academic institutions while at the same time conducting their own in-house research and engineering.

Applicants may categorize their proposals into a broad Computer Science research area. These might be topics including, but certainly not limited to:

• Algorithms and optimization
• Cooling and power
• Digital media processing
• Human-computer interaction
• Machine perception
• Privacy and security
• Recommendation settings

Each successful applicant will be assigned a Google sponsor, who will encourage the project by discussing directions, engagement, and interactions. Award recipients will be encouraged to give talks at Google discussing their research as well as to meet with relevant research groups.

The goal of this program is to build and strengthen partnerships with faculty who are working on solutions to problems that impact all those who use technology. The research awards allow for funding in the amount of $150,000 USD to support one graduate student for a full year. They are awarded as an unrestricted gift, and, though highly competitive, are highly regarded. Only 15% of applicants will receive funding, as the review process will be conducted by a Google-wide search team.

To apply for an award, applicants should read and review Google’s “How to Write a Good Proposal” document and Frequently Asked Questions, both of which can be found at research.google.com. Successful applicants often have a Google sponsor, which is not a mandatory component of the application process but can be beneficial. Having a Google employee as a sponsor helps the applicant to ensure that his or her proposal is relevant and interesting. This person should be considered an expert in the applicant’s area of research, and familiar with his or her personal work.

Applicants should submit proposals by October 7th, 2017. The application process includes an online application form and a written proposal. The proposal should consist of an overview, proposal body, data policy, and budget. A CV is also required.

Successful applicants will be notified in February 2018. Award recipients may apply for up to, but no more than, $150,000. More information can be found at research.google.com.

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