2020 Research Summer Intern-PhD

Job description

Start and end dates for this Internship are during Summer 2020 (3 months).

Digital data is impacting all sectors, such as health, finance, retail, energy, legal, media and entertainment, etc., in significant ways. The proliferation of IoT devices has significantly grown the amount of data that can be produced and collected. Recent advances in AI have greatly increased the value of data. Businesses transform the data about their customers, suppliers, or partners, into profitable products and services. Data sets can be rapidly and dynamically fused to derive other data sets. Businesses have to simultaneously abide by regulations around data privacy, such as GDPR, and also respect consumers' heightened expectations around privacy. Data is currently misused sometimes by not providing transparency and at other times underused by keeping them in silos due to lack of clarity around terms of use, security and privacy.
It is thus natural to ask: how to benefit from data while respecting the conditions imposed on use of the data? How can individuals or organizations whose data is being collected participate in these data economies, exercise control over the access and use of their data, and be provided suitable compensation? Then, how can we make it easier to find and share the right data with transparency and fairness? What incentives can we provide for organizations to share their data for social good? How can monetization structures be set up to compensate providers of data? What biases exist in current data collection processes and what are their implications? What policies and mechanisms can be implemented to avoid such biases? How can one provide guarantees of data security and privacy?
Fortunately, technologies such as blockchain, homomorphic encryption, secure multi-party computation, zero knowledge proofs, and secure hardware now make it possible for mutually distrusting organizations to share their data with each other in a secure, privacy-preserving, and tamper-proof manner. Policies are emerging on data use and governance. How can we further enhance them or develop new technologies, policies, and frameworks to solve this data dilemma?
If you share the burning passion we have at IBM Research for these topics, we invite you to apply for a summer internship with leading researchers at IBM using the link below.
·  Area 1 - Technology, systems and algorithms: Advances in cryptography, game theory, network science, machine learning, and distributed systems that enable and incentivize trusted privacy preserving data sharing & secure distributed computations
·  Area 2 - Business model, services and applications: Innovative applications of blockchain and data transparency technologies to create monetization frameworks for data sharing, including building or studying specific industry use cases
·  Area 3 - Policy, regulation, law and behavior: Fundamental legal and policy frameworks for distributed data sharing networks, and business models to create, sustain, and evolve these networks and their applications

The work location will be
Yorktown Heights, New York

Auto req ID

280640BR
Required Education

Bachelor's Degree
Role ( Job Role )

Student/Intern
State / Province

NEW YORK
Primary job category

Other
Company

(0147) International Business Machines Corporation
Contract type

Internship
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

Research
Preferred Education

Master's Degree
City / Township / Village

YORKTOWN HEIGHTS
Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  Advanced experience in one or more of cryptography, privacy, data science, business, data regulations, or policy
·  Advanced experience in general programming skills
·  Advanced communication skills
·  Pursuing a PhD
Country/Region

United States
Preferred Technical and Professional Experience

·  Advanced usage of machine learning environments (e.g., R, scikit-learn, Theano, Torch, etc.)
·  Advanced experience in Data Mining/Automated Knowledge Acquisition, Representation & Reasoning
·  Advanced knowledge in cryptography, privacy, and security
·  Advanced knowledge in blockchain technologies
·  Advanced experience with data policy, licensing, and governance
·  Knowledge of software engineering practices including agile processes
Secondary Job Category

Unassigned
Eligibility Requirements

·  None
Position Type

Intern
Early Professional Track

No Track
Location Statement

For additional information about location requirements, please discuss with the recruiter following submission of your application.
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