CAMPUS JOBS
Welcome!
In addition to the Student Center, there are many excellent opportunities to work across campus. The positions listed below are submitted to the Student Center Information Desk for posting by various hiring departments around campus. The contact information for each position can be found in the job descriptions.
Please note that the positions listed below are NOT Student and Campus Event Centers positions. Please see student jobs with Student and Campus Event Centers
Post a Job
Submissions to the Campus Job Board can be made using the link below. Our team reviews submissions to the job board on a rolling basis. Each position will remain on the Campus Job Board for one (1) week from the posting date. If you wish to post a job for a longer duration of time, you must resubmit your request to the job board. For questions, please email us.
Job Postings
Student Assistant - IT Support
Work Start Date: 05-05-2025
Work End Date: 05-01-2027
Department Contact Name: Randi Sloan
Department Contact Email: randi@gatech.edu
Job Description:
The Interdisciplinary Research Institutes are looking for part-time help with IT Support. We maintain a heterogeneous network consisting of Windows, Mac OS, and Linux systems.
This job entails user support, diagnosing hardware, software, and network problems, configuring, installing, and maintaining laptops, workstations, and servers, packaging software, and some AV and printer support. We utilize remote desktop tools and receive request via ticketing systems. We work with a wide variety of IT and non-IT staff and faculty across campus. Generally, we do whatever is necessary to keep people up and running. Basic computer knowledge and hardware troubleshooting background is of high interest. The most important quality is a willingness to learn and a commitment to building positive client relationships.
We support users and labs across whose locations range from the Coda area to the Carbon-Neutral Energy Solutions Lab area. Traveling across campus is an important requirement.
The level of commitment would be around 10-20 hours per week if a student is taking classes. Full-time work is desired during breaks but not required. Hourly rates are competitive. The work environment is relaxed. Work times are flexible but the individual must be reliable. We need availability during the week from 8 AM to 5 PM. No weekend support required.
This job entails user support, diagnosing hardware, software, and network problems, configuring, installing, and maintaining laptops, workstations, and servers, packaging software, and some AV and printer support. We utilize remote desktop tools and receive request via ticketing systems. We work with a wide variety of IT and non-IT staff and faculty across campus. Generally, we do whatever is necessary to keep people up and running. Basic computer knowledge and hardware troubleshooting background is of high interest. The most important quality is a willingness to learn and a commitment to building positive client relationships.
We support users and labs across whose locations range from the Coda area to the Carbon-Neutral Energy Solutions Lab area. Traveling across campus is an important requirement.
The level of commitment would be around 10-20 hours per week if a student is taking classes. Full-time work is desired during breaks but not required. Hourly rates are competitive. The work environment is relaxed. Work times are flexible but the individual must be reliable. We need availability during the week from 8 AM to 5 PM. No weekend support required.
Hours/Work Schedule: M-F 8-5
Work Location: EBB, RBI, etc
Work Study?: No
Pay Rate: 15/hr
Number of Positions Available: 7
Summer Research Assistant – Machine Learning Applications in Climate Change Impacts
Work Start Date: 05-15-2025
Work End Date: 08-15-2025
Department Contact Name: Ali Sarhadi
Department Contact Email: sarhadi@gatech.edu
Job Description:
The Climate Risk & Extreme Events Dynamics Group at the School of Earth and Atmospheric Sciences, Georgia Tech, is seeking a highly motivated upper-level undergraduate or graduate student for a full-time Summer Research Assistant position. The selected candidate will contribute to cutting-edge research at the intersection of machine learning (ML) and climate impact modeling, with a focus on extreme weather events such as hurricanes.
Key Responsibilities:
• Develop and implement state-of-the-art machine learning models, including but not limited to Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), Transformers, Diffusion Models, Graph Neural Networks (GNNs), and Reinforcement Learning, applied to climate-related datasets.
• Process, curate, and analyze large-scale datasets related to hurricanes and their associated hazards.
• Run climate-impact simulations; document code, methodologies, and results for reproducibility.
• Contribute to the preparation of scientific manuscripts and project reports.
Qualifications:
• Currently enrolled as an upper-level undergraduate or graduate student in Computer Science or a closely related field.
• Strong programming skills in Python, with prior experience developing and implementing machine learning models at an advanced level.
• Ability to work independently while collaborating effectively within a multidisciplinary research team.
• Excellent written and verbal communication skills.
• Important: This is a technically demanding position. Applicants must demonstrate advanced proficiency in machine learning. If you do not have significant experience in this area, we kindly ask that you do not apply.
Application Instructions:
Interested candidates should email the following materials to Dr. Ali Sarhadi (sarhadi@gatech.edu):
• Resume or CV
• Brief cover letter (max 1 page) describing your interest in the position and relevant experience
• Contact information for two references
Application Deadline: May 14th, 2025
Additional Information:
This is an excellent opportunity to contribute to real-world research on climate extremes using modern computational techniques. Candidates who are planning to pursue graduate studies in climate science, data science, or environmental informatics will find this experience particularly valuable. Preference may be given to upper-level computer science undergraduates with strong academic records and a demonstrated interest in climate-related research.
We strongly encourage enthusiastic, skilled, and mission-driven applicants who are eager to tackle climate change challenges through innovative research.
Key Responsibilities:
• Develop and implement state-of-the-art machine learning models, including but not limited to Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), Transformers, Diffusion Models, Graph Neural Networks (GNNs), and Reinforcement Learning, applied to climate-related datasets.
• Process, curate, and analyze large-scale datasets related to hurricanes and their associated hazards.
• Run climate-impact simulations; document code, methodologies, and results for reproducibility.
• Contribute to the preparation of scientific manuscripts and project reports.
Qualifications:
• Currently enrolled as an upper-level undergraduate or graduate student in Computer Science or a closely related field.
• Strong programming skills in Python, with prior experience developing and implementing machine learning models at an advanced level.
• Ability to work independently while collaborating effectively within a multidisciplinary research team.
• Excellent written and verbal communication skills.
• Important: This is a technically demanding position. Applicants must demonstrate advanced proficiency in machine learning. If you do not have significant experience in this area, we kindly ask that you do not apply.
Application Instructions:
Interested candidates should email the following materials to Dr. Ali Sarhadi (sarhadi@gatech.edu):
• Resume or CV
• Brief cover letter (max 1 page) describing your interest in the position and relevant experience
• Contact information for two references
Application Deadline: May 14th, 2025
Additional Information:
This is an excellent opportunity to contribute to real-world research on climate extremes using modern computational techniques. Candidates who are planning to pursue graduate studies in climate science, data science, or environmental informatics will find this experience particularly valuable. Preference may be given to upper-level computer science undergraduates with strong academic records and a demonstrated interest in climate-related research.
We strongly encourage enthusiastic, skilled, and mission-driven applicants who are eager to tackle climate change challenges through innovative research.
Hours/Work Schedule:
Work Location: School of Earth and Atmospheric Sciences, Georgia Tech
Work Study?:
Pay Rate: $15/hr
Number of Positions Available: 1