chapman89
Founding Member
Tata have a job going, Principal Scientist confirming they’ll be working with Akida-
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Do you ever think why our brain does whatever it does so efficiently while consuming just a few watts of power?
Have you ever wondered how you can quickly identify objects, places, faces etc. irrespective of the time, light conditions, whether it's raining or snowing?
Or, how you can remember a song you have heard just a few times when you were a child - irrespective of whether it is played on an organ or a violin or a piano?
And, what if we could capture this power efficiency in our computing infrastructure?
If so, then this might interest you.
We are looking for fresh BTech/MTech/PhD students to join our Neuromorphic & Edge Computing team at Tata Consultancy Services - Research. At TCS Research, we have been working on the evolving area of neuromorphic computing as part of our research on embedding intelligence at the edge. Brain-inspired neuromorphic systems, coupled with Spiking Neural Networks, often referred to as the 3rd generation of neural networks, offer low power consumption, online learning from low data volume and real-time inferencing which are important in multiple domains such as IoT, edge analytics, robotics, healthcare, and space tech to name a few.
As a researcher, you will have the flexibility to explore new topics within the broad area, as well as advance existing projects. Our group boasts a strong publication record with main track, demo and workshop papers in NeurIPS, ISCAS, IJCNN, NICE. You are expected to have a good understanding of AI/ML techniques and the mathematics behind them, familiarity with Deep Learning and optimization, as well as some experience with reading and understanding theoretical papers on related topics. Familiarity with PyTorch/Tensorflow is desirable. If interested, please share your CVs with me”
“
Do you ever think why our brain does whatever it does so efficiently while consuming just a few watts of power?Have you ever wondered how you can quickly identify objects, places, faces etc. irrespective of the time, light conditions, whether it's raining or snowing?Or, how you can remember a song you have heard just a few times when you were a child - irrespective of whether it is played on an organ or a violin or a piano?And, what if we could capture this power efficiency in our computing infrastructure?If so, then this might interest you.
We are looking for fresh BTech/MTech/PhD students to join our Neuromorphic & Edge Computing team at Tata Consultancy Services - Research. At TCS Research, we have been working on the evolving area of neuromorphic computing as part of our research on embedding intelligence at the edge. Brain-inspired neuromorphic systems, coupled with Spiking Neural Networks, often referred to as the 3rd generation of neural networks, offer low power consumption, online learning from low data volume and real-time inferencing which are important in multiple domains such as IoT, edge analytics, robotics, healthcare, and space tech to name a few.
As a researcher, you will have the flexibility to explore new topics within the broad area, as well as advance existing projects. Our group boasts a strong publication record with main track, demo and workshop papers in NeurIPS, ISCAS, IJCNN, NICE. You are expected to have a good understanding of AI/ML techniques and the mathematics behind them, familiarity with Deep Learning and optimization, as well as some experience with reading and understanding theoretical papers on related topics. Familiarity with PyTorch/Tensorflow is desirable. If interested, please share your CVs with me”
