PhD Positions in Neural Information, Missouri University, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

PhD Positions in Neural Information: The Department of Computer Science at the Missouri University of Science and Technology offers two fully-funded PhD positions in Neural Information Retrieval, Conversational Search, and Large Language Models (LLMs). These positions provide an opportunity to work in a dynamic research environment with state-of-the-art facilities and collaborate with leading IR/NLP groups globally.

PhD Student Positions in Neural Information Retrieval, Conversational Search, and LLMs

Summary Table:

DesignationPhD Student Positions (Graduate Research Assistant & Graduate Teaching Assistant)
Research AreaNeural Information Retrieval, Conversational Search, Large Language Models (LLMs)
LocationMissouri University of Science and Technology, Rolla, Missouri, USA
Eligibility/QualificationBachelor’s or Master’s degree in Computer Science, Information Science, Artificial Intelligence, or a related discipline. Proficiency in programming and experience in applying machine learning methods.
Job DescriptionConduct innovative research, collaborate with global IR/NLP groups, present findings at conferences, identify funding sources, and contribute to open-source software. For GTA: Facilitate lab sessions, assist in grading, and create course materials.
How to ApplySubmit detailed CV and cover letter addressing essential and desirable criteria via the provided link.
Last Date for ApplyOpen until filled. Apply as soon as possible for consideration.

Designation: PhD Student Positions (Graduate Research Assistant & Graduate Teaching Assistant)

Research Area: Neural Information Retrieval, Conversational Search, Large Language Models (LLMs)

Location: Missouri University of Science and Technology, Rolla, Missouri, USA

Eligibility/Qualification: Bachelor’s or Master’s degree in Computer Science, Information Science, Artificial Intelligence, or a closely related discipline. Proficient in programming and experience in applying machine learning methods.

Job Description:

  • Conduct innovative research in collaboration with global IR/NLP groups.
  • Present research findings at conferences and seminars.
  • Identify funding sources and contribute to open-source software.
  • For GTA: Facilitate lab sessions, assist in grading, and create course materials.

How to Apply: Submit detailed CV and cover letter addressing essential and desirable criteria via the provided link.

Last Date for Apply: Open until filled. Apply as soon as possible for consideration.

Link

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