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Assistant Research Professor

4 months ago

Baltimore, Maryland, United States Johns Hopkins University Full time
General Description

If you love developing fundamental machine learning models and algorithms inspired by complex phenomena such as natural language, please consider joining Johns Hopkins University as an Assistant Research Professor of Computer Science. You would be affiliated with the Center for Language and Speech Processing (CLSP), one of the largest and most influential academic groups in NLP and speech.

This is a great launching pad to start an academic career, or to move back into academia from industry. This opportunity is appropriate for individuals who are also considering postdoctoral, industrial, or tenure-track employment. It provides a competitive salary and an excellent platform for career advancement. Initially, you would be working closely with Jason Eisner and his excellent students, helping to advise and develop a range of ongoing research projects.

Appointment renewal will be based on performance and funding availability. Currently funding is available for the first 3 years. There would be several paths for you to raise further funding if you wished to continue in the position. The university has instituted a non-tenure track career path for full-time research faculty culminating in the rank of (full) Research Professor.

Qualifications

Desirable qualifications for this position:

  • Ph.D. in computer science or a closely related field
  • Background in ML, preferably structured prediction and/or reinforcement learning
  • Background in NLP, preferably with knowledge of linguistics or grammar formalisms
  • Some familiarity with programming language design, data structures / algorithms, or HCI
  • Strong writing skills, including mathematical exposition
  • Intellectual curiosity, scientific integrity, concern for experimental design
  • Management and mentoring skills Application Instructions Applications may be submitted online through Interfolio by clicking the Apply Now button. Questions should be directed to . Start date of summer or fall 2021 (negotiable). Applications will be reviewed until the position is filled.