The Apple Scholars in AI/ML PhD fellowship program recognizes the contributions of emerging leaders in computer science and engineering. The PhD fellowship in AI/ML was created as part of the Apple Scholars program to support the work of outstanding PhD students from around the world, who are pursuing cutting edge research in machine learning and artificial intelligence.
Scholars will receive:
• Gift covering full tuition & fees (enrollment fees, health insurance) for (2) academic years
• $40,000 USD gift each year to help with living expenses and related expenses
• $5,000 USD gift each year to support research-related travel and associated expenses
• 2 year mentorship with an Apple researcher
• Internship opportunities for one or both summers of their fellowship*
• Invitation to the PhD Scholars Summit in Cupertino, CA**
* Internship offers are dependent on student status, and contingent upon necessary requirements for employment being met according to relevant employment law.
**Due to evolving travel restrictions related to COVID-19, the Summit will be postponed until it is safe for all Scholars to travel internationally.
Eligible candidates are PhD students in Computer Science and related areas who are pursuing research in artificial intelligence and machine learning, with a unique focus on work that is related to Apple’s core values. Students must be enrolled full time as well.
To be considered for nomination, please submit the required materials to megrad@umd.edu by Tuesday, September 13th, 2022. Since this is a short turnaround time, please create a complete nomination package and ensure that the materials are assembled in a single PDF file.
Required materials:
• Student CV and publication list
• Research Abstract (200 word maximum)
• Research statement covering past work and proposed direction for next 2 years (5 page maximum, including citations)
• 2 letters of recommendation, one from current advisor (1 page maximum per letter)
• Link to most recent published work (optional)
• Please also prepare a statement showing the estimated tuition and fees (including enrollment, health insurance, and books) for the nominee’s 2022-2023 academic year