Research IT Computational Analyst

The Computational Analyst will support advanced research and data analysis through the development, optimization, and application of computational tools and workflows. This role bridges domain expertise and high-performance computing, enabling researchers and decision-makers to extract meaningful insights from complex datasets. In addition to computational development, the role includes responsibilities in IT technical support and server administration to ensure a robust and efficient computing environment.

Responsibilities:

• Collaborate with researchers and stakeholders to design and implement computational workflows and data pipelines.
• Analyze large datasets using statistical, artificial intelligence, machine learning, or simulation-based methods.
• Optimize and parallelize software for performance on HPC or cloud computing platforms.
• Provide technical consultation and training to research teams on computational best practices.
• Develop scripts and tools for automation, data processing, visualization, and reporting.
• Document processes, code, and methodologies for reproducibility and training.
• Stay up to date on emerging tools and technologies in scientific computing and data science.
• Contribute to the maintenance and troubleshooting of computational environments.
• Assist in the deployment and configuration of servers, storage systems, and networked resources.

Qualifications:

• Bachelor’s in a computational or quantitative field.
• Proficiency in programming languages such as Python, R, Go, Java, Matlab, or C/C++.
• Experience with Linux/Windows systems and job schedulers like SLURM or HTCondor.
• Experience with data analysis libraries and tools like Jupiter Notebook, Grafana, Pandas, NumPy, SciPy, scikit-learn, NetCDF, HDF, or OpenFoam.
• Experience with AI/ML libraries and tools like NVIDIA Omniverse, NVIDIA Triton Inference Server, NVIDIA NeMo, PyTorch, ChatGPT, CoPilot, Gemini, Ollama, or Hugging Face.
• Understanding of version control systems like Git.
• Experience with CUDA GPU programming or MPI/MPICH/OpenMP parallel computing.
• Knowledge of cloud computing platforms (AWS, Azure, GCP) or container technologies (Docker, Apptainer, Kubernetes).
• Knowledge in a scientific domain such as biology, chemistry, physics, or engineering.
• Ability to communicate complex technical concepts to diverse audiences.

Work Environment:

• On-site work is required.
• Interaction with faculty, researchers, and technical staff in a collaborative environment.
• Occasional travel to conferences, training sessions, or partner institutions.

Equal Opportunity

Florida Institute of Technology does not discriminate on the basis of race, color, national or ethnic origin, religion, disability, age, genetic information, marital status, citizenship status, veteran status, and other legally protected characteristics in its activities and programs. In accordance with Title IX of the Education Amendments of 1972, Florida Tech does not discriminate on the basis of sex.  Inquiries concerning the application of the Non-Discrimination and Anti-Harassment policy may be directed to the Equal Opportunity Director and Investigator at 150 West University Blvd, Melbourne, FL 32901, or email kgarrett@fit.edu, or +1 321-674-7153; or to the U.S. Department of Education Office for Civil Rights.

Americans with Disabilities Act

Please notify us at least five days in advance if a reasonable accommodation for a disability is needed by calling the Office of Human Resources at 321-674-8100.

Annual Security & Fire Safety Report

The federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) requires colleges and universities, both public and private, participating in federal student aid programs to disclose campus safety information and impose certain basic requirements for handling incidents of sexual violence and emergency situations.

Florida Tech’s 2024 Annual Security and Fire Safety Report includes statistics for the previous three years concerning reported crimes that occurred on campus, in certain off-campus buildings or property owned or controlled by Florida Tech, and on public property within, or immediately adjacent to and accessible from, the campus.
 
The numbers provided include crime statistics reported to local law enforcement agencies, campus security and other Campus Security Authorities.
 
The report also includes institutional policy statements regarding campus safety and security measures, descriptions of prevention and awareness programs, related university procedures