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2024 Graduate - Artificial Intelligence and Complex Systems
2 months ago
Do you love to use artificial intelligence (AI) and data analysis to process, analyze, and interpret data?
Are you interested in exploring different complex systems domains such as climate science, earth systems, environmental resilience, materials science, and biology?
If you are studying an AI-related field and interested in working at the intersection of complex systems, we’d love to meet you
We are seeking creative problem solvers with diverse capabilities and interests, as well as proven initiative, to join our team in taking on technical challenges in complex systems. The Complex Systems Group, within the Intelligent Systems Center (
www.jhuapl.edu/isc
), develops novel AI methods to transform climate intelligence and earth systems research, as well as accelerate scientific discovery and design for materials, protein engineering, and other physical and biological systems.
As a member of our research team, you will contribute to projects in a variety of ways, such as designing, training, and developing machine learning (ML) algorithms, collecting and preparing data, evaluating models, and programming. We are committed to developing exceptional talent and fostering a culture of innovation, and as part of our group you will have the chance to grow both within AI and data science, as well as in the complex systems we study.
Qualifications
Have a B.S. or M.S. in a STEM field (e.g., AI, Computer Science, Data Science, Mathematics, Statistics, or Physics).
Are proficient in Python programming.
Have experience in one or more of our core skills: AI/ML algorithms, data science, deep learning, graph theory, software development, or statistical analysis.
Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you:
Have background knowledge in earth systems, materials, biology, or other complex systems.
Have experience applying AI/ML to real-world data such as satellite imagery, remote sensing data, climate data, materials data, omics data, or additive manufacturing related data.
Have proficiency in developing AI/ML software.
Have experience with AI/ML and data science libraries such as PyTorch and the Hugging Face stack.
Are familiar with advanced AI methods like generative adversarial networks, physics-informed neural networks, surrogate models, graph neural networks, and foundation models.
About Us
APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.
APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.
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