Apple Scholars in AI/ML 2024 - Call for Applications

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The Apple Scholars in AI/ML PhD fellowship program recognizes the contributions of emerging leaders in computer science and engineering at the graduate and postgraduate level. The PhD fellowship in AI/ML was created as part of the Apple Scholars program to support the work of outstanding doctoral candidates from around the world, who are pursuing cutting edge research in machine learning and artificial intelligence.

Apple has announced the PhD Fellowships in AI/ML 2024 program. Nominees should be pursuing research in one or more of the following research areas:

  • Privacy preserving machine learning
  • Human centred AI
  • AI for ethics and fairness
  • AI for accessibility
  • AI for health and wellness
  • ML theory
  • ML algorithms and architectures
  • Embodied ML
  • Speech and natural language
  • Computer vision
  • Information retrieval, ranking and knowledge
  • Data-centric AI

What is included?

The fellowship award comprises a generous monetary gift, mentorship, and potential internship opportunities (subject to student status and relevant employment law). All monetary gifts are directed towards the nominating university and disbursed annually at the beginning of each academic year, and are conditional upon the Scholar’s full time enrolment in their program. The award of the Apple Scholar in AI/ML PhD fellowship does not represent an employer/ employee relationship between Apple and the receiving university and/or selected student.

How to apply?

Nomination by TUM Graduate School only

In order to apply, please submit the complete application documents in separate PDF files to Charlotte Janosa,, until July 30th, 2023Applications must be submitted by the primary thesis supervisor.

After the application deadline, the TUM Graduate School Prize Committee shall nominate the 3 most promising candidates for the Apple PhD Fellowship 2024 in AI/ML.  

Application documents

  1. Applicant CV (no photo or date of birth) and publication list (inlcuding links if available)
  2. Research Abstract (200 word maximum)
  3. Research statement covering past work and proposed direction for next 2 years (5 page maximum) clearly stating the hypothesis and expected contributions to the chosen research area. 
  4. Two letters of recommendation, one from primary thesis superisor (1 page maximum per letter)
  5. Transcripts of current and previous academic records (Bachelor, Masters) 

Documents must be submitted as PDF’s with the file naming convention: “Last name, First name: Research Statement”; “Last name, First name: Resume”; “Last name, First name: Letters of recommendation” etc.


+++ Please note the correction of the eligibility criteria (July 10th) +++

Please note, in order to be eligible

  • Applicant must be fully registered on the doctoral candidacy list of his*her department/school (in DocGS) and be a full member in the TUM Graduate School at the time of application and expect to be remain registered through the end of the 2024/2025 academic year.
  • Applicant should be entering their last 2-3 years of the doctorate as of Fall 2023.
  • Applicant must not hold an equivalent industry-sponsored full fellowship while they are an Apple Scholar in AI/ML

Contact: Charlotte Janosa | janosa(at) | 089 289 10624, TUM Graduate School, Boltzmannstr. 17, 85748 Garching b. München

All information submitted by TUM will only be used by Apple for the purposes of conducting the PhD Fellowship in AI/ML program, and will at all times be handled in accordance with Apple’s Privacy Policy.