Indian Institute of Science (IISc) is inviting applications for Paid Internship as Research Intern in Systems and ML.
The candidates at Indian Institute of Science (IISc) will have the opportunity to learn state-of-the-art topics on distributed systems and data science and apply them to projects of national importance such as autonomous vehicles, genomics, COVID-19 management, and National Supercomputing Mission.
Some of the topic areas include:
- Platforms and systems for deep learning on edge devices
- Data and analytics platforms for IoT/Edge computing
- Scheduling and orchestration of ML workloads
The successful candidates will work closely with post-graduate students to architect new algorithms and distributed platforms, develop software prototypes, run large-scale systems experiments, and publish research papers at leading venues. Past staff members have gone on to do higher studies abroad at top universities.
Requirement
- Candidates should be in their final or pre-final year of B.E./B.Tech/MTech. degree in Computer Science or EECS, without other concurrent internships or academic commitments.
- Candidates should have strong programming skills in Python with experience in working with large code bases. Additional knowledge of C and/or C++ is welcome. Familiarity with Linux, scripting, automation, debugging and plotting is expected. Participation in competitive coding or knowledge of GPU architecture is a plus.
- Those with working knowledge of machine learning frameworks like TensorFlow/PyTorch, virtualization technologies such as Docker, edge/accelerator platforms such as Raspberry Pi, Nvidia Jetson and Nvidia GPUs are preferred.
Apply: The positions are open with a join date of Apr/May 2024 and will be for a minimum duration of 4 months (in-person), preferably 6 months or longer.
Interested candidates send their detailed resumes to prashanthis@iisc.ac.in with the subject “Research Internship Application”.
Moreover, there are multiple positions are available, and appointments will be made on a rolling basis, as and when suitable candidates are identified.
How to Apply: To know more details and apply Click here.
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