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Research Assistant Professor

Apply now Job no: 506598
Position type: Faculty Full Time
Benefit Status: Benefited-Union
Campus: UMass Lowell
Department: Computer Science
Salary: Salary commensurate with experience and funding
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General Summary of Position:

The Research Assistant Professor will conduct research on biomedical natural language processing, machine learning and medical text processing.  The role will include supervising the PI’s graduate students, assisting the PI with writing papers and research proposals with the goal of impacting both the research and public communities.

Minimum Qualifications (Required):

Education:

  • PhD in Computer Science, or closely related fields

Experience:

  • Experience with biomedical entity, adverse drug event identification

Skills:

  • Excellent writing and communication skills, a must

Special Instructions to Applicants: 

Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications are received.

Please include a CV and cover letter with your application. Names and contact information of three references will be required during the application process.

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UMass Lowell

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Kennedy College of Sciences

The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, while promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and to identify your strengths in this area.

The University of Massachusetts Lowell is an Equal Opportunity/Affirmative Action, Title IX employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, ancestry, age over 40, protected veteran status, disability, sexual orientation, gender identity/expression, marital status, or other protected class.

Please read this "EEO is the Law" poster (pdf), which provides an overview of many relevant equal opportunity laws.