CISE Graduate Blog

"Ready to turn your passion for games, technology, creativity, or business into a career? Join EA SPORTS for an inside look at early-career and internship opportunities within the company behind some of the world’s most recognized sports gaming experiences. During this session, students will explore the wide range of roles that contribute to bringing EA SPORTS games to life—from software development, game design, and data analytics to marketing, project management, and other business functions. Attendees will also gain insight into the skills EA SPORTS values, learn how to prepare for the application and recruitment process, and hear practical advice for launching a career in the gaming industry. Whether you are an avid gamer or simply curious about working at the intersection of sports, technology, and entertainment, this session will help you build your playbook for success." Date: Tuesday, September 29, 2026 Time: 12pm - 1:30pm Location: Career Connections Center-...

  ANNOUNCEMENT OF Ph.D. Admission to Candidacy     Date Posted FROM: Computer and Information Science and Engineering Department September 22, 2026 TO: the Members of the Supervisory Committee for:   First Name Last Name M.I.   Jayetri Bardhan     SUPERVISORY COMMITTTEE MEMBERS Zhe Wang Chair     Co-Chair   Arunava Banerjee Member   Ye Xia Member     Member     Member   Yonghui Wu External Member   1.   Name of Examination Ph.D. Defense 2.   Degree Sought Doctor of ...

Undergraduate Research Opportunity: Apply Your CS Skills to the Frontier of Brain Mapping & Spatial Transcriptomics Are you a Computer Science student looking to stand out in the job market or build a unique research portfolio? Discover how your coding and algorithmic skills can unlock the mysteries of the human brain. The Marcinkiewcz Laboratory in the Department of Cellular and Systems Pharmacology is seeking a motivated undergraduate student for a Directed Independent Study (DIS) role. Why Join Us? Diversify Your Skillset The demand for tech talent in biotech, pharma, and computational biology is exploding. This position is a perfect opportunity to pivot or diversify your software engineering and data science toolkits into the biological sciences. You will gain experience handling complex, high-dimensional datasets that traditional tech tracks rarely expose you to. What You Will Do: Data Pipeline Development: Process and analyze large-scale, high-dimensional ...

The Association for Women in Mathematics is hosting our  first study group of the semester  for students who are currently taking mathematics and statistics  classes! The session will take place   Wednesday, September 23rd , at 4:00 P.M.  in Little Hall 225 . Please feel free to stop by whenever! This is a great opportunity to collaborate with your peers with some difficult topics.    I have attached the flyer to this email and would greatly appreciate it if you could notify your students about this great opportunity. If anyone would like to know more about the club, feel free to look at our website at https://awm.math.ufl.edu , contact our AWM Vice President, Puja Patel ( p.patel5@ufl.edu ) , or our faculty sponsors, Dr. Gamage ( cgamage@ufl.edu ) and Professor Demas ( demasc@ufl.edu ).   Best, Evelyn Chen Secretary, The Association for Women in Mathematics  

  CIS4930/6930 - Special Topics: Reinforcement Learning for Humans, Animals and Robots This course will cover reinforcement learning (RL) foundations from biological organisms to autonomous machines. By the end of the course, students will be able to discuss the mechanisms of RL in humans, identify RL concepts at play in human and animal interactions and propose robot learning paradigms inspired by animal training techniques. Students will practice setting up and training RL agents and critiquing the ethical and safety implications of this paradigm. If feasible for classroom scheduling, this will be a 3-period class. pre-requisites: For undergraduates: COP 3530 Data Structures and Algorithms Proficiency in Python. Should be comfortable building and training models in modern Python libraries. Prior exposure to machine learning is recommended. For graduate level students: COT 5615 Mathematics for Intelligent Systems Proficiency in Python. Should be comfortable build...

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