Research Professional , Computer Science; Temporary

The University of Arizona's department of Computer Science invites you to apply to the role of Research Professional I. Under general supervision, the employee will implement existing Monte Carlo Tree Search based reinforcement learning algorithms and evaluate it in popular, publicly-available benchmarking suite, and compare it with other non-Monte Carlo Tree Search based baselines.

The University of Arizona's Department of Computer Science offers a collaborative environment focused on high-quality research and instruction, where undergraduate and graduate students benefit from the department's research programs. Established in 1971, the department offers bachelor's, master's, and doctoral degrees and has a distinguished reputation for research excellence across areas including algorithms, artificial intelligence, high-performance computing, programming languages, security, systems, and visualization.

The department is nationally recognized for its research impact and ranks among the top public Ph.D.

-granting computer science programs in the nation.

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .

Posting Number
: req
27247

Department
:
Computer Science

Department Website Link
: https://(Use the "Apply for this Job" box below)./

Location
:
Tucson Campus

Address
:
Tucson, AZ USA

• Implement the basic Monte Carlo Tree Search algorithm and evaluate it in publicly-available benchmark reinforcement learning environments such as OpenAI Gym.
• Implement basic imitation learning algorithms such as supervised fine tuning (SFT) and evaluate them in benchmark reinforcement learning environments.
• Implement an reinforcement learning algorithm using the outcomes of tasks 1 and 2, and prepare evaluation reports for this algorithm in benchmark reinforcement learning environments.
• Maintaining source code of the training pipelines, such as documentation of the source code, preparing usage manuals, and identification of library dependencies.
• Collaborate with internal departments to share information and improve data handling processes.

• Skilled in maintaining code for libraries, APIs, deep learning, and reinforcement learning pipelines.
• Ability to generate evaluation plots on the performance of algorithms, and visualize the reasoning traces of Monte-Carlo Tree Search agents
• Ability to translate technical concepts into clear documentation and collaborate across multidisciplinary teams.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

• Bachelor's degree or equivalent advanced learning attained through experience required.
• 1 year of relevant work experience is required.

Exempt

Full Time

40

1.0

Fiscal

Research

No Benefits

$47,356-$59,195

salary at 1.0 full-time equivalency (FTE)

6

The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.
The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.

PC1

Researchers & Scientists

Research

Name-based criminal background check (non-security sensitive)

1

10/26/2026

12/18/2026

Chicheng Zhang
Assistant Professor
chichengz

10/5/2026

Yes

Resume and Cover Letter

In compliance…