The Data Science Institute (DSI) at Columbia University invites applications for the position of a Postdoctoral Research Scientist focused on data and digital identity. 

DSI strives to be a force for change. We advance the state-of-the-art in data science; transform all fields, professions, and sectors through the application of data science; and ensure the responsible use of data to benefit society.

Drawing on Columbia's strengths in computer science, statistics, and industrial engineering and operations research, DSI was launched in 2012 to unite our expertise and a University-wide interest in this revolutionary approach. The University is a trailblazer in the field and is uniquely poised to expand data science to every corner of the institution.

We train the next generation of data scientists, develop innovative technology, foster collaborations in advancing techniques to interpret data and address pressing societal problems, and work closely with industry to bring promising ideas to market.

PROGRAM DETAILS

The Postdoctoral Research Scientist, powered by the Mastercard Center for Inclusive Growth, will work on new methods for scalable and privacy-respecting digital identity systems. These systems will provide digital identities suitable for low-infrastructure environments, used to facilitate access to resources such as medical care, education and food assistance. These highly secure systems will provide unprecedented new levels of resistance to identity theft.

The researcher selected for this position will be co-mentored by Professor Henning Schulzrinne and will also have opportunities to work with other faculty mentors affiliated with DSI. 

The candidate will:

• evaluate existing digital identity proposals, 
• identify gaps in capabilities,
• develop new components of identity systems, 
• work with external stakeholders and experts in privacy and international development, and 
• prototype digital identity components or systems.

ELIGIBILITY REQUIREMENTS

Minimum degree required: Candidates must have a doctorate degree in a discipline such as computer science or electrical engineering.

PREFERRED QUALIFICATIONS

• Strong background in computer science or electrical engineering, e.g., in systems security, cryptography, biometrics, networks or operating systems.
• Strong analytical, computational, and quantitative skills.
• Demonstrated outreach skills, such as working with NGOs or standards bodies.

Applications will be considered on a rolling basis with applicants encouraged to apply no later than January 15, 2023.

Applicants must apply on-line and upload current CV.

HIRING SALARY RANGE

$80,000-83,000

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

About Columbia University

Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.

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