Research Opportunity w/Prof Aniket Bera's IDEAS Lab
Research Assistant / Graduate Research Opportunities at IDEAS Lab
The IDEAS Lab (ideas.cs.purdue.edu) at Purdue University is seeking strong researchers / RAs with a background in Computer Vision and Machine Learning, with a particular emphasis on human detection, tracking, and motion prediction.
Areas of interest include (but are not limited to):
- Human detection, multi-object tracking, and behavior prediction
- Trajectory forecasting and intent-aware motion modeling
- Deep learning for perception and prediction (CNNs, Transformers, Diffusion Models, GNNs)
- Sensor fusion (RGB, RGB-D, LiDAR, IMU, UWB, etc.)
- Deployment and optimization on edge devices(Jetson Orin/Xavier, embedded GPUs, real-time systems)
- Sim-to-real transfer, robustness, and uncertainty-aware perception
We are open to strong BS, MS and PhD students. Exceptional BS/MS students may be considered for transition into the PhD program based on performance and research fit.
What we offer:
- Work on cutting-edge projects in embodied AI, robotics, and human-centered perception
- Access to state-of-the-art robotics platforms, sensors, and compute infrastructure
- Strong publication pipeline (CVPR, ICCV, ECCV, ICRA, IROS, RA-L, SIGGRAPH Asia)
- Close mentorship and opportunities to lead independent research thrusts
- Collaborations with industry and government partners
Ideal candidates should have:
- Strong foundations in computer vision and machine learning
- Experience with PyTorch/TensorFlow and modern DL architectures
- Hands-on experience with data collection, annotation, and benchmarking
- Experience (or strong interest) in real-time systems and deployment on embedded/edge hardware
- Strong mathematical and algorithmic background
- Motivation to publish at top-tier venues
How to apply:
Interested candidates should email a brief statement of interest, CV, transcripts (unofficial is fine), and links to GitHub/Google Scholar (if available) to:
Aniket Bera (aniketbera@purdue.edu)