Applications are invited from eligible and suitable Indian Nationals for the position of Project Research Assistant (RA) (one). About 75% of today's enterprise-generated data is created and processed outside the traditional data centres and cloud. This gives birth to a new generation of computing, termed as 'edge computing' where computing is mostly performed at the end of sensor/ detector networks in an internet of things. Molecular electronics is touted as a promising alternative to conventional routes for such applications because they are flexible, wearable, scalable and most importantly, they enable ultra-low energy devices offering orders of magnitude energy efficiency compared to their inorganic counterparts. The transition metal complexes of redox-active ligands are particularly interesting as they act as stable electron sponges exhibiting several non-volatile electronic states depending on the applied bias. In our recent publications, transition metal complexes of azo-aromatic ligands have been shown to outperform even the state-of-the-art inorganic memristors in terms of stability, endurance, robustness, and energy and space efficiency. The experimental study described above starts with synthesising designed metal complexes and exploring their resistive memory properties by making a suitable thin-film or nanodevice. The active material in this work is the transition metal complexes of redox-active ligands of chosen ligands and metal ions. At CeNSE, IISc we have already developed cutting-edge neuromorphic devices based on molecular complexes which are substantially outperforming the competing technologies [ref. 1-7]. As demonstrated at PCB level, this technology could outperform traditional systems like the Haswell CPU or GPUs (such as NVIDIA) in terms of speed, resolution, and space utilization. The potential market size for Artificial Intelligence (AI) stands to be one of the largest in human history, estimated between USD 3.5 to 5.8 trillion. Capturing a substantial portion of this vast market could redefine the national economic landscape, serving as a key driver of sustained growth for the years ahead. Therefore, it is crucial to leverage our nation's expertise to achieve technological advancements with global impact. The current project funded by Ministry of Electronics and Information Technology (MeitY), Government of India, aligns strategically with this goal, focusing on developing one of the world's best, energy-efficient accelerator on CMOS chip, for AI and Machine Learning (ML), potentially leading to the incubation of start-up at IISc after the tenure (3 years) of the project.
References:
- S. Goswami, et.al. Nature Materials 2017, 16, 1216.
- S. Goswami, et.al., Nature Nanotechnology 2020, 15, 380.
- S. Goswami, et.al., Nature 2021, 597, 51.
- S. P. Rath, D. Thompson, S. Goswami, S. Goswami*, Advanced Materials, 2204551.
- S.P. Rath, D. Sharma, N. Bhat, S. Goswami, & S. Goswami*, Advanced Materials, 2022, 2206128.
- https://iisc.ac.in/events/building-energy-efficient-computing-platforms/
- https://timesofindia.indiatimes.com/home/science/iisc-building-new-energ...
Qualifications:
The candidate must have a first-class MSc Degree in Chemistry or a related field. Candidates having Inorganic specialization will be preferred.
Knowledge/ skills/ experience/Responsibility:
Foundational knowledge of chemical reactions, and acquaintance with chemical characterization tools such as NMR, cyclic voltammetry, XRD, and ESI-MS.
Tenure:
For Research Assistant: Initial appointment will be for 1 year. Based on the research performance the candidate will be encouraged to enroll for a PhD degree.
Principal investigator of this project:
Dr. Sreetosh Goswami and Professor Navakanta Bhat, Co-advisor: Professor Sreebrata Goswami
Compensation:
Depending on the relevant qualifications and experience of the candidate, the monthly compensation would range from Rs 35-40k per month (consolidated).
Interested candidates should email their detailed CV to: pradipghosh@iisc.ac.in
The deadline for application is 15th April 2024.
PhD student (JRF) in Chemistry
Applications are invited from eligible and suitable Indian Nationals for the position of Project Research Assistant (RA) (one). About 75% of today's enterprise-generated data is created and processed outside the traditional data centres and cloud. This gives birth to a new generation of computing, termed as 'edge computing' where computing is mostly performed at the end of sensor/ detector networks in an internet of things. Molecular electronics is touted as a promising alternative to conventional routes for such applications because they are flexible, wearable, scalable and most importantly, they enable ultra-low energy devices offering orders of magnitude energy efficiency compared to their inorganic counterparts. The transition metal complexes of redox-active ligands are particularly interesting as they act as stable electron sponges exhibiting several non-volatile electronic states depending on the applied bias. In our recent publications, transition metal complexes of azo-aromatic ligands have been shown to outperform even the state-of-the-art inorganic memristors in terms of stability, endurance, robustness, and energy and space efficiency. The experimental study described above starts with synthesising designed metal complexes and exploring their resistive memory properties by making a suitable thin-film or nanodevice. The active material in this work is the transition metal complexes of redox-active ligands of chosen ligands and metal ions. At CeNSE, IISc we have already developed cutting-edge neuromorphic devices based on molecular complexes which are substantially outperforming the competing technologies [ref. 1-7]. As demonstrated at PCB level, this technology could outperform traditional systems like the Haswell CPU or GPUs (such as NVIDIA) in terms of speed, resolution, and space utilization. The potential market size for Artificial Intelligence (AI) stands to be one of the largest in human history, estimated between USD 3.5 to 5.8 trillion. Capturing a substantial portion of this vast market could redefine the national economic landscape, serving as a key driver of sustained growth for the years ahead. Therefore, it is crucial to leverage our nation's expertise to achieve technological advancements with global impact. The current project funded by Ministry of Electronics and Information Technology (MeitY), Government of India, aligns strategically with this goal, focusing on developing one of the world's best, energy-efficient accelerator on CMOS chip, for AI and Machine Learning (ML), potentially leading to the incubation of start-up at IISc after the tenure (3 years) of the project.
References:
- S. Goswami, et.al. Nature Materials 2017, 16, 1216.
- S. Goswami, et.al., Nature Nanotechnology 2020, 15, 380.
- S. Goswami, et.al., Nature 2021, 597, 51.
- S. P. Rath, D. Thompson, S. Goswami, S. Goswami*, Advanced Materials, 2204551.
- S.P. Rath, D. Sharma, N. Bhat, S. Goswami, & S. Goswami*, Advanced Materials, 2022, 2206128.
- https://iisc.ac.in/events/building-energy-efficient-computing-platforms/
- https://timesofindia.indiatimes.com/home/science/iisc-building-new-energ...
Qualifications:
The candidate must have a MSc degree in Chemistry. Candidates with experience synthesizing transition metal complexes and knowledge of electrochemistry will be preferred.
Knowledge/ skills/ experience/Responsibility:
Applicants must be trained in organic/ or inorganic synthetic methodologies, chromatographic purification, and characterization of the compounds (NMR, IR, and other commonly used spectroscopy techniques). Applicants with NET qualifications are encouraged to apply.
Principal investigators of this project:
Dr. Sreetosh Goswami and Professor Navakanta Bhat, Co-advisor: Professor Sreebrata Goswami
Compensation:
As per the university norms.
Interested candidates should email their detailed CV to: pradipghosh@iisc.ac.in
The deadline for application is 15th April 2024.