At the University of Chicago’s Research Computing Center (RCC), we are shaping the future of academic research through innovative high-performance computing (HPC), advanced AI, and machine learning techniques. Our mission is to accelerate groundbreaking scientific discovery by providing researchers with the tools, resources, and expertise needed to tackle complex challenges. We are seeking a Computational Scientist – Scientific AI & Machine Learning to join our dynamic team and help us drive the next wave of transformative research.
As a key member of our team, you will leverage AI and machine learning to support researchers across disciplines—from computer vision and NLP to data analysis and forecasting. In this role, you will work closely with faculty, post-docs, and students to develop custom AI/ML solutions that push the boundaries of their research, enhance collaboration, and provide critical insights into a wide variety of scientific questions.
What We Offer:
- Cutting-Edge Research: Work at the forefront of AI and machine learning applications in diverse scientific domains.
- Collaborative Environment: Join a team that thrives on interdisciplinary collaboration and fosters innovation.
- Professional Growth: Enhance your skills through training, mentorship, and the opportunity to lead workshops and tutorials for the UChicago research community.
- Hybrid Work Flexibility: Enjoy the flexibility of hybrid work with at least 3 days a week onsite, collaborating directly with researchers.
Key Responsibilities:
- AI & ML Expertise: Serve as the domain expert for applying AI and machine learning across various research projects.
- Tailored Solutions: Collaborate with faculty to design and implement computational methods and tools that advance research goals.
- Build Advanced Pipelines: Develop, maintain, and optimize AI/ML pipelines for data analysis, including applications in computer vision, NLP, predictive modeling, and more.
- Innovative Problem-Solving: Use machine learning techniques such as regression, classification, anomaly detection, and forecasting to solve complex research challenges.
- Training & Support: Lead workshops, create documentation, and provide hands-on training to researchers in the UChicago community.
- Grant Support: Contribute to research grant proposals, outlining AI and machine learning methods and their potential to drive forward research initiatives.
Ideal Candidate:
- Technical Expertise: Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras, and proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn).
- AI/ML Specialization: Hands-on experience in AI/ML techniques such as computer vision, NLP, causal AI, reinforcement learning, or generative AI.
- Scientific Mindset: Strong ability to translate scientific research questions into computational solutions, making complex concepts accessible to diverse audiences.
- Collaborative Spirit: Excellent communication skills and the ability to work closely with researchers from varied disciplines.
- Commitment to Learning: Passion for continuous learning and the ability to stay up-to-date with the latest AI/ML advancements.
Preferred Qualifications:
- Ph.D. in Computer Science, Data Science, or a related field.
- Experience with deep learning, causal AI, or reinforcement learning.
- Proficiency in additional programming languages such as C/C++, Matlab, or R.
- Familiarity with Linux/Unix systems and version control tools like Git.
Why UChicago?
- Prestigious Research: The University of Chicago is a world leader in research, fostering an environment that encourages intellectual curiosity and collaboration.
- Impactful Work: Play a key role in advancing research that can make a global impact on science, technology, and society.
- Comprehensive Benefits: Enjoy competitive pay and comprehensive benefits, including health, retirement, and paid time off.
- Inclusive Culture: Join a diverse and inclusive team that values different perspectives and fosters an environment of growth and innovation.
Ready to Make a Difference?Apply today to become part of the University of Chicago’s cutting-edge research team. Help us build the future of scientific discovery with AI and machine learning. Your expertise will directly contribute to advancing knowledge and solving some of the world’s most challenging problems.
