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Research Summer Intern – Future Of Climate PhD 2021

IBM

This is a Full-time position in Rochester, MN posted February 13, 2021.

**Introduction**At IBM, work is more than a job
– it’s a calling: To build.

To design.

To code.

To consult.

To think along with clients and sell.

To make markets.

To invent.

To collaborate.

Not just to do something better, but to attempt things you’ve never thought possible.

Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems?

If so, lets talk.**Your Role and Responsibilities**Start and end dates for this Internship are during Summer 2021 (3 months).At IBM Research, we invent things that matter to the world.

Today, we are pioneering the most promising and disruptive technologies that will transform industries and society, including the future of AI, Blockchain and Quantum Computing.

We are driven to discover.

With more than 3,000 researchers in 12 labs located across six continents, IBM Research is one of the world’s largest and most influential corporate research labs.We are seeking Research students with demonstrated interest and technical leadership potential in one or more of our focus areas.

As part of the IBM Research team focused on the Future of Climate, you will work on applying the latest in AI, modeling and optimization techniques to technical solutions resulting in mitigation and adaptation of Climate Change.

You will conduct world-class research on innovative technologies and solutions and publish in top-tier conferences and journals.

Demonstrated communication skills and ability to work independently, as well as in a team, are highly desired traits.You should have experience in one or more of the following skills:
– Cloud computing infrastructure, including cloud platform and programming models; cloud infrastructure services; APIs; containers; DevOps techniques; microservicesComputing and data services, including emerging platforms (Spark, SQL/NoSQL, Blockchain)
– Artificial intelligence computing infrastructure, including deep learning platform and services, accelerated cognitive systems, accelerators interface architecture, compilers and programming models, co-designed hardware/software
– Distributed computing theory and application, systems; services technology, including service management, analytics, automation and orchestration, cognitive servicesMemory controller architecture, memory performance modeling, memory standards and interfaces, cache design, non-volatile memory, NAND flash
– Materials Science
– Computational Chemistry
– NLP

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