Application Deadline: October 31, 2017
The Adobe Research Fellowship recognizes outstanding graduate students anywhere in the world carrying out exceptional research in areas of computer science important to Adobe. This year, Adobe will be awarding fellowships to graduate students working in the areas of computer graphics, computer vision, human-computer interaction, machine learning, visualization, audio, natural language processing, and programming languages.
Eligibility Criteria
In order to be considered for the 2018 Adobe Research Fellowship, students must meet the following criteria:
- Be registered as a full-time graduate student at a university.
- Remain an active, full-time student in a PhD program for the full duration of 2018 or forfeit the award.
- Cannot have a close relative working for Adobe Research.
Fellowship Worth:
The Adobe Research Fellowship consists of:
- A $10,000 award paid once.
- A Creative Cloud subscription membership for one year.
- An Adobe Research mentor.
- An internship at Adobe for the 2018 summer.
How to Apply:
Please submit your application by October 31, 2017 at 5pm Pacific Time.
Applications must include:
- A research overview comprising two pages of text and figures not including citations. At least half a page should highlight how the student’s research could contribute to Adobe.
- Three letters of recommendation from those familiar with the students work. One letter should come from the student’s advisor.
- A CV.
- A transcript of current and previous academic records both undergraduate and graduate.
For questions, please email adoberesearchwebmaster@adobe.com
For More Information:
Visit the Official Webpage of the Adobe Research Fellowship 2018
2 comments
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[…] The Adobe Research Fellowship recognizes outstanding graduate students anywhere in the world carrying out exceptional research in areas of computer science important to Adobe. This year, we will be awarding fellowships to graduate students working in the areas of computer graphics, computer vision, human-computer interaction, machine learning, visualization, audio, natural language processing, and programming languages. […]