Machine Learning Applications In Agriculture Using High Performance Computing Facilities Internship

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Machine Learning Applications In Agriculture Using High Performance Computing Facilities
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 25,000-31,000 /month
APPLY BY
19 Jun' 21
Posted 3 weeks ago
Internship
257 applicants

About the internship

Selected intern's day-to-day responsibilities include:

1. Prepare data sets for machine learning
2. Develop, train, and validate machine learning models in Python
3. Execute the developed programs on high-performance supercomputing facilities at CDAC-Pune
4. Interface with the industry collaborators
5. Prepare project reports on the progress of the project
6. Present the work to multiple audiences

Skill(s) required

Machine Learning Python

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 4th Jun'21 and 9th Jul'21

3. are available for duration of 6 months

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours Informal dress code
Additional information

This position is extendable up to two years depending on the performance of the candidate. The stipend range Rs. 25,000-31,000 per month + HRA based on qualifications.

Number of openings

1

About IIT Indore (BSBE Department)

Indian Institute of Technology Indore located in Madhya Pradesh, known as IIT Indore or IITI, is an institute of national importance established by the Government of India in 2009. It is one of the eight new IITs, started by the Ministry of Human Resource Development (India), Government of India.

We develop sustainable solutions for a resource-constrained world. Sustainable solutions are technically feasible, economically viable, resource sustainable, environmentally less impactful, and socially acceptable. We employ a combination of experimental and theoretical approaches using bioprocessing technologies, control theory, systems biology, process modeling, techno-economic analysis, and life cycle analysis techniques to conduct molecular, cellular, bench, and industrial-scale and systems-level analyses.
Activity on Internshala
Hiring since June 2021
1 opportunity posted
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