For Illinois Computer Science PhD Students:
The Apple Scholars program was created to recognize and support 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.
The fellowship offers two years of support, which includes:
- $40,000 annual stipend.
- Full coverage of tuition and fees.
- $5,000 travel grant each year.
- 2-year mentorship with an Apple researcher.
- Internship offer for one or both summers of the fellowship.
- Invitation to the PhD Scholars Summit in Cupertino, CA (may be held virtually because of Covid-19).
The fellowship focuses exclusively on the following research areas:
- Privacy Preserving Machine Learning (Federated Learning, Differential Privacy, Cryptographic Tools, Secure Multiparty Computation)
- On Device Machine Learning (Model Compression, Model Representation, Hardware/Software Integration, Model Personalization)
- Human-Centered Machine Learning (Social Signal Processing, ML for Multimodal Interaction, ML Design and Human Factors, Usable ML Tools and Products, Interactive ML)
- AI for Health and Wellness (ML and RL for Mobile Health, Time Series Representation Learning, Physiology- Informed Machine Learning, Modeling Multi-Modal Sensor Data)
- AI for Accessibility (Accessible User Experiences, Automatic Personalization/Adaptation, interactions via New or Combined Modalities, Participatory Design with People with Disabilities)
- AI Ethics and Fairness (Bias and Fairness in AI, Interpretable AI, Introspection)
- Speech and Natural Language (Speech Recognition, Text to Speech, Conversational and Multi-Modal Interactions, Machine Translation)
- Knowledge Graph Generation and Database Systems (Knowledge Extraction and Information Retrieval, Knowledge Inference, Large-Scale Graph Data Management, Machine Learning and Data Systems Integration)
- AI for Autonomous Systems (Reinforcement Learning, Imitation Learning, Multi-Output Models, Imbalanced Data)
- Augmented Reality and Computer Vision (3D semantic scene understanding, SLAM and Relocalization, Neural Network Architectures for 3D, Computational Photography and Videography, Visual Representative Learning, Active Sensing)
- Fundamentals of Machine Learning (Deep Learning, Reinforcement Learning, Unsupervised & Self-Supervised Learning, Optimization, Interpretability)
- AI and Manufacturing (Hardware Aware AutoML, Few-Shot Learning, Weakly-Supervised / Semi-Supervised Learning)
For complete submission details, please visit the 20-21 Apple PhD Fellowship page on the CS Student Awards Wiki.
Applications must be received by Thursday, September 10, 2020 by 11:59pm.
