Career Center

Research Scientist

About the Opportunity

In response to the shortage of researchers trained in AI, Northeastern seeks research scientists at all levels from computer science and other fields related to Artificial intelligence.

Last year, Northeastern launched a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Experiential AI Institute is built around the challenges and opportunities made possible by human-machine collaboration. The institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Headquartered in Portland, Maine, with the goal of growing the Maine tech economy, the Roux Institute will be the main center of activity for the Experiential AI Institute's efforts, in addition to efforts in other campuses.

Responsibilities:

During a three-year renewable appointment at the Boston and/or Portland campuses, Experiential AI Research Scientists, at all levels, depending on qualifications, will perform foundational and/or applied research in AI. At the conclusion, applicants will be evaluated to continue as research faculty at the Roux Institute or at one of Northeastern's other seven US campuses (Boston, Burlington, Charlotte, Nahant, Seattle, San Francisco, and San Jose).

Summary:

During a three-year renewable appointment at the Boston and/or Portland campuses, Experiential AI Research Scientists (at all levels) will perform foundational and/or applied research in AI.

At the conclusion, applicants will be evaluated to continue as research staff at the Roux Institute or at one of Northeastern's other seven US campuses (Boston, Burlington, Charlotte, Nahant, Seattle, San Francisco, and San Jose).

Qualifications:

• A Ph.D. in computer science, AI, Data Science, Ethics in AI, or related fields by the appointment start date.
  
• A record of outstanding research, commensurate with years of professional experience, as evidenced by publications, grants, software outputs, and other scholarly measures of impact.
  
• A record of successful research collaborations.
  
• Experience managing large and complex projects involving a wide variety of constituents and stakeholders.
  
• Experience managing and/or working with multiple researchers, technical staff, post-docs, and doctoral students in an interdisciplinary environment;
  

The candidate should have the following skills:

Strong analytical, computational, and quantitative abilities;

Strong interpersonal, organizational, and communication skills;

Strong management and mentoring skills;

Must be able to exercise judgement and discretion, and to prioritize and manage multiple tasks; and

Excellent written and oral presentation skills for reaching audiences both in and out of one's own field.

We expect research scientists to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.

Preferred Qualifications:

• Prior strong research record on AI applied to cybersecurity, life sciences, healthcare informatics, information retrieval, and responsible AI.
  
• Experience in obtaining research funding and leading AI research projects.
  
• Experience managing large and complex projects involving a wide variety of constituents and stakeholders.
  

• Applications will be accepted and evaluated on a rolling basis, with the evaluation starting January 1, 2022; successful applicants to this program will begin their appointments as soon as possible in 2022.
  
• Interested candidates should submit the following application materials:
  
• Cover Letter: To further assist the search committee in its screening process, all cover letters should address your interest in Experiential AI, and in particular which area of research you are interested in.
  
• Curriculum Vitae
  
• Research Statement - A statement about your research program and the areas of research in Experiential AI that you intend to pursue. Please note any relevant course or work experience in mathematics, statistics, programming, etc. (typically 2-pages, max).
  
• Junior candidates: please provide references (names and contact information for at least three potential recommenders).
  

All questions can be emailed to: Professor Ricardo Baeza-Yates, Director of Research at IEAI (rbaeza-yates@northeastern.edu)

Position Type

Research

Additional Information

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.


To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Research-Scientist_R106508







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About Northeastern University

Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.

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