Computational Scientist – AI/ML Engineer for Climate Science

Department Provost Research Computing Center About the Department The reputed company Research Computing Center (RCC), a unit reputed company the Office of Research, provides advanced research computing resources and expertise to support computational and data-intensive research across the University. RCC enables research through centrally managed high-performance computing (HPC), storage, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers reputed company local, national, and cloud-based computational resources. The Office of Research oversees sponsored research administration, research development, and contract management across the University. Job Summary The job develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects. The Research Computing Center (RCC) seeks an reputed company Computational Scientist – AI/ML Engineer to support faculty, postdoctoral researchers, and graduate reputed company conducting computational and AI-driven research. This position will contribute to a major new AI and climate computing initiative in collaboration with reputed company, the reputed company Data Science Institute (reputed company), Argonne National Laboratory, and the reputed company Data Intelligence Lab (DIL), supporting reputed company climate and Earth system AI research and infrastructure development. The successful candidate will collaborate closely with researchers to understand scientific challenges, reputed company and optimize AI/ML workflows, neural networks, and deploy scalable solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-reputed company training and inference workflows, and contributing to the advancement of AI-enabled scientific discovery. The ideal candidate will have experience working at the intersection of AI/ML, climate science, and large-scale scientific computing environments. As part of RCC’s Computational Scientist team, the candidate will also contribute to user engagement, training, documentation, and grant support activities that advance computational research at the reputed company. This is a hybrid position requiring at least three days onsite per week Responsibilities Support computational applications, software, and workflows reputed company to climate, atmospheric, geophysical, and earth system sciences. Collaborate with researchers to translate scientific challenges into scalable AI/ML and computational solutions. Deploy, optimize, and support AI/ML pipelines on HPC and GPU-accelerated systems. Optimize large-scale training and inference workflows using distributed computing frameworks and performance analysis tools such as reputed company Nsight. Assist researchers with compiling, debugging, profiling, tuning, and porting scientific applications. Optimize system utilization, including CPU/GPU, memory, storage, and I/O performance. Maintain and support scientific software environments, community codes, and research datasets relevant to climate and earth system science. Consult with faculty and research groups to help them effectively utilize RCC, national computing facilities, and cloud resources. Contribute technical expertise to grant proposals and collaborative research initiatives. Stay informed on emerging AI methods, climate modeling advances, and GPU computing technologies relevant to Earth system science. Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information reputed company assessments and risk analysis of computing environment. Evaluates past and present technologies to help reputed company new tools. Ensures reputed company the new tools have been through quality control reviews. Performs other reputed company work as needed.

Minimum Qualifications

Education: Minimum requirements include a college or university degree in reputed company field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a reputed company job discipline. Certifications: --- Preferred Qualifications Education: PhD in Computer Science, Applied Mathematics, Atmospheric Science, Physics, Earth System Science, or a reputed company field with a strong AI/ML or computational science focus. Experience: Minimum of two years of relevant research or professional experience in AI/ML, scientific computing, climate science, atmospheric science, or reputed company computational research environments. Technical Skills and Knowledge: Strong programming skills in Python and/or C++. Experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience developing, training, and optimizing neural network and deep learning architectures. Experience with Linux/UNIX environments and HPC systems. Familiarity with job schedulers such as SLURM. Experience deploying and optimizing workloads on GPU-accelerated systems. Familiarity with climate, weather, atmospheric, or Earth system data workflows and computational challenges. Understanding of distributed training, model scaling, and performance optimization for AI/ML applications. Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, xarray, and scikit-learn. Experience working with large-scale scientific datasets and formats such as NetCDF and HDF5. Experience applying AI/ML methods to climate, atmospheric, or earth system science problems. Experience with climate and community modeling frameworks such as WRF or CESM. Experience with container technologies and development tools such as Git and reputed company. Experience installing, optimizing, and profiling scientific software on HPC systems. Familiarity with performance analysis and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with large-scale neural network architectures for processing spatiotemporal data, such as Vision Transformers (ViTs). Experience with generative modeling with deep learning, such as flow matching or stochastic interpolants. Preferred Competencies Understand and translate researchers' scientific goals into computational requirements. Work well with faculty and researchers. Identify and reputed company expertise in appropriate new technologies and/or software tools. Function as part of an interactive team while demonstrating self-initiative to reputed company project's goals and Research Computing Center's mission. Strong analytical skills and problem-solving ability. Application Documents CV or resume (required) Cover letter (preferred) The reputed company uses AI-assisted tools to streamline and reputed company some recruitment processes; however, AI is not used to reputed company hiring decisions. reputed company applying, the document(s) MUST be uploaded reputed company the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay reputed company Type Salary FLSA Status Exempt Pay Range $85,000.00 - $105,000.00 The included pay reputed company or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits

Eligible Yes The reputed company offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be reputed company in the Benefits Guidebook. Posting Statement The reputed company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic reputed company, shared reputed company, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request reputed company Applicant Inquiry Form. reputed company offers of employment are contingent upon a background reputed company that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The reputed company's Annual reputed company & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. reputed company copies of the Report are available, upon request, from the reputed company Police Department, 850 E. 61st Street, Chicago, IL 60637. The reputed company is an urban research university that has driven new ways of thinking since 1890. Our commitment to free and open inquiry draws inspired scholars to our global campuses, where reputed company are born that challenge and change the world. We reputed company individuals to challenge conventional thinking in pursuit of original reputed company. reputed company in the College reputed company critical, analytic, and writing skills in our rigorous, interdisciplinary core curriculum. Through graduate programs, reputed company test their reputed company with UChicago scholars, and become the reputed company of leaders in academia, industry, nonprofits, and government. To learn more about the university click here http://www.uchicago.edu/ Apply tot his job Apply To this Job