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Postdoctoral Fellow

University of Michigan School of Information

The University of Michigan School of Information seeks a Postdoctoral Fellow to conduct research with Professor Sarita Schoenebeck on projects in the areas of social computing, social media, or human-computer interaction. The fellow will work with Professor Schoenebeck to develop and lead new projects that are centered around equity, justice, harassment, privacy, or other similar topics.

Applicants should have experience leading and publishing independent research projects. While there is no major teaching or service requirement, the fellow will be expected to participate in teaching, networking, and mentoring activities including giving lectures in courses, participation in research groups, presenting work at conferences, and advising undergraduate or graduate students. This Postdoctoral Fellowship is designed to support the applicant towards advancing their career via mentorship and collaboration.

Required Qualifications:

  • PhD successfully defended by start date
  • PhD in Information, Computer Science, Social Science, or other related field
  • Experience conducting and publishing research in academic venues
  • Interest in studying social/societal problems

Desired Qualifications (any of the below):

  • Experience working with online/social media data
  • Quantitative/computational skills
  • Experiment design and analysis skills
  • Design and analysis of behavioral or technological interventions

The target start date is September 3, 2019. The position length is 18-24 months. Performance will be reviewed regularly with Professor Schoenebeck. Start date and length can be flexible and should be discussed during the application process.

Candidates should submit: 1) curriculum vitae; 2) research statement; and 3) name and contact information for three references. Send application materials to Professor Sarita Schoenebeck (yardi@umich.edu) with the subject line “Postdoctoral Fellow”.

Post-doctoral Position in Explainable AI and Visualization

NYU

To apply, please send a CV and a 1-page cover letter to Enrico Bertini (enrico.bertini@nyu.edu) and Claudio Silva (csilva@nyu.edu).

The Visualization, Imaging and Data Analysis (VIDA) Center has an opening for a post-doctoral associate to conduct innovative and exciting research in the area of explainability and visualization for machine learning. The project is in collaboration with Capital One and it aims at developing novel methods and systems to support model understanding and validation.

The position is available immediately but the start date is flexible.

Required Qualifications:
  • PhD in computer science or a related technical field
  • Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team, and contribute to an active intellectual environment
  • Excellent written and oral communication.
  • Proficiency and experience in programming for machine learning and/or interactive data visualization systems
Expertise in one or more of the following areas is highly desirable:
  • Deep learning
  • Visualization and interactive user interfaces
  • Statistics/probability and machine learning
  • Empirical evaluation with user studies
The candidate is expected to:
  • Perform excellent scientific research
  • Develop research prototypes and conduct on-line and off-line evaluation
  • Present results in top-tier international conferences
  • Help in guiding PhD and Master students
  • Participate in the VIDA activities
About New York University (NYU) and VIDA:

NYU is located in the heart of New York City and is one of the top private universities in the United States. VIDA is located at the NYU Tandon School of Engineering in downtown Brooklyn in the Brooklyn Tech Triangle, one of the most vibrant areas in the city for high-tech industry and education.

VIDA is an interdisciplinary center with strengths in big data and data science methods, including data management, visualization, machine learning, and in several application areas such as social sciences, neural science, medicine, biology, and physics.

The postdoctoral associate will join a dynamic group of undergraduate and graduate students, faculty members and industry partners to develop cutting edge research on machine learning visualization and interpretability.

Research Fellows

CRI Research

Click here for more details and to apply

Open calls for fellows

CRI Research opens group leader positions to join our Collaborary!

CRI is seeking candidates at different career stages, from postdoctoral young investigators to tenured scientists. They are recruiting three types of Research fellows, differing in their profiles and lengths of stay.

Technology Fellow

AI Now Institute

Learn more and apply here

RESPONSIBILITIES

As a core member of our research team, you will participate in a broad range of research projects on the social implications of AI and related technologies. This work will lead to peer-reviewed publications, in addition to other outputs and activities designed to engage diverse stakeholders and broaden public understanding of these topics. You will:

  • Contribute to interdisciplinary research across AI Now’s four core domains.
  • Help coordinate key research projects that cut across academic disciplines, from design to implementation to publication.
  • Monitor technologies and technological developments in AI and related fields that have potential consequences for AI Now’s current research portfolio (by, for example, reading technical papers and documentation and providing briefs and recommendations to the team).
  • Serve as a resource and thought partner to AI Now staff and partners.
  • Communicate about your work with a wider public audience.
  • Help develop and maintain meaningful research- and community-based partnerships that lead to collaborative opportunities, shared research projects and agendas, and ongoing knowledge exchange.
  • Lead and participate in working groups, workshops, and other convenings on the core topics in our research agenda.

RESOURCES AND BENEFITS

As a Technology Fellow, you will receive all benefits provided to Professional Research Staff, including:

  • A competitive salary, commensurate with experience.
  • A generous and comprehensive benefits package (including medical, dental, and vision) through New York University.
  • Annual professional development funds for conferences, skill development, etc.
  • Relocation assistance, as needed.

QUALIFICATIONS

Candidates should be driven to understand the social implications of AI and related systems and be interested in working in an interdisciplinary environment. All disciplines are encouraged to apply, though candidates must have solid technical literacy and an up-to-date understanding of the AI field. Additional qualifications are as follows:

  • Research experience examining AI and related technologies, and familiarity with the latest research relevant to AI Now’s four core research domains.
  • Ability to read and interpret technical AI/ML research and draw connections between AI systems’ technical design and their social implications.
  • Excellent communication skills with the ability to clearly translate complex technical issues to different audiences across different contexts.
  • Bachelor’s degree or equivalent work experience required; advanced degrees in a relevant field will be taken into consideration.
  • Able to work on-site at our offices in New York City; while there may be opportunities to work remotely on occasion, this job will necessitate you being on-site.

This is a full-time position for a one year period, with the possibility to extend to a second year.

NYU is an Equal Opportunity Employer and we value diversity; women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

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