Senior Researcher, Research Science
2 weeks ago
Are you an experienced researcher using artificial intelligence (AI) to contribute to critical challenges across complex systems domains?
We are looking for an AI Researcher to bring their creative problem solving talents to our teams, to lead and contribute to the research and development of innovative algorithms and prototypes for scientific discovery.
Our Complex Systems Group, within the Intelligent Systems Center ( develops novel AI methods to accelerate discovery and design for materials science, protein engineering, climate intelligence and earth systems, as well as other physical and biological systems.
As a researcher in our group, your primary responsibility will be contributing to and leading projects in AI for scientific discovery across complex 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. You will publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.
We are committed to developing exceptional talent and fostering a culture of innovation, and strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence.
A PhD in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.
Have 5+ years of research experience.
A track record of publishing in scholarly journals or conferences.
Demonstrated ability to conduct machine learning research studies.
AI/ML algorithms, data science, deep learning, graph theory, or statistical analysis.
Strong programming skills and proficiency in commonly-used ML languages such as Python, and ML and data science libraries, such as TensorFlow, PyTorch, and OpenCV.
Familiarity with advanced AI methods such as generative adversarial networks, physics-informed neural networks, neural operators, surrogate models, graph neural networks, and foundation models.
The ability to obtain a Top Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Have been a project manager or led small teams.
Have experience in writing technical proposals or other forms of business development.
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. 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.
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