Johns Hopkins University, Physics and Astronomy

Position ID:
JHU-Physics-POSTDOC12 [#30545]
Position Title: 
Postdoctoral Researcher Position in Machine Learning and AI for Cosmology The William H. Miller III Department of Physics and Astronomy
Position Type:
Postdoctoral
Position Location:
Baltimore, Maryland 21218, United States of America
Subject Area: 
Physics / Machine Learning
Appl Deadline:
2025/12/01 11:59PMhelp popup (posted 2025/09/10, listed until 2026/03/10)
Position Description:
   

Position Description

The William H. Miller III Department of Physics and Astronomy at Johns Hopkins University invites applications for one or more postdoctoral researcher positions starting Fall 2026 at the intersection of machine learning, artificial intelligence, and cosmology. 

Research Opportunity 
These positions are an opportunity to join Professor Benjamin D. Wandelt as he establishes a new research group at Johns Hopkins University developing cutting-edge ML/AI tools for cosmological discovery at scale. This is an exciting chance to help build a research initiative from the ground up, contributing to both the scientific direction and collaborative culture of the group. One position is funded by the Simons Collaboration on Learning the Universe (LtU). The Simons Collaboration develops physically grounded models for galaxy formation simulations, creates tools for synthetic observations, accelerates forward modeling using machine learning, and couples physics-based models with simulation-based inference techniques. Our goal: create a robust framework to simultaneously infer fundamental cosmological properties and advance our understanding of galaxy formation physics from state-of-the-art cosmological data sets.

Research Focus 
Postdoctoral researchers will pursue innovative research in: 
  • ML acceleration of cosmological simulations and forward modeling 
  • Development and application of the LtU-ILI (Implicit Likelihood Inference) pipeline 
  • Novel AI/ML methods for large astronomical datasets 
  • Human-AI collaboration frameworks for scientific discovery 
  • Large-scale applications to observational data from current and future surveys 

Professor Wandelt is an internationally recognized cosmologist and data scientist with over 25 years of experience bridging theoretical cosmology, advanced computational methods and ML/AI. He co-leads the Implicit Likelihood Inference working group of the LtU collaboration. Professor Wandelt holds joint appointments in Physics & Astronomy and Applied Mathematics & Statistics, and is a member of JHU's Data Science and AI Institute.

The William H. Miller III Department of Physics and Astronomy ranks among the top physics programs nationally conducting world-class research. The department is housed in the Bloomberg Center for Physics and Astronomy—a state-of-the-art 238,000 square foot facility. The Center for Astrophysical Sciences forms one of the largest astronomy communities in the nation alongside the Space Telescope Science Institute. 

Broader Research Environment 
Johns Hopkins offers an exceptional ecosystem for interdisciplinary research: 
  •  Data Science & AI Institute: Part of JHU's transformative $1 billion investment in data science and AI, including 150 new faculty positions and a dedicated 500,000 sq ft research facility 
  •  Cross-disciplinary collaboration: New physics of machine learning initiative, creating unique synergies between fundamental physics and computational methods 
  •  Vibrant research community: Strong programs across theoretical, computational, and observational astrophysics, with established connections to applied mathematics, computer science, engineering departments, and beyond. 

Qualifications 

Required:
  • Ph.D. in Physics, Astronomy, Computer Science, Applied Mathematics, Statistics, or related field 
  • Strong background in cosmology, machine learning, statistical inference, or computational physics 
  • Demonstrated research productivity with peer-reviewed publications 
  • Programming proficiency in modern scientific computing 
  • Excellent communication and collaboration skills 
Preferred:
  • Experience with simulation-based inference and Bayesian methods 
  • Familiarity with cosmological simulations or observational cosmology 
  • ML architecture design and deployment experience
  • High-performance computing and large-scale data analysis 
  • Background in neural density estimation and advanced ML techniques 

Position Details 
  • Duration: 3 years (renewable annual appointments) 
  • Rank: Postdoctoral Researcher or Assistant Research Scientist, commensurate with experience Start Date: Fall 2026 (negotiable) 
  • Support: Starting salary $67,000-$70,000, comprehensive benefits, conference travel funding, and access to world-class computational facilities, locally and on national facilities
  • Professional Development: Opportunities for independent research leadership, mentorship (both as mentor and mentee), collaboration across a global research network, and career advancement 

Why Johns Hopkins? 
This position offers the opportunity to shape a new research program while leveraging: 
  • Institutional commitment: JHU's unprecedented investment positions it as a global leader in AI research 
  • Strategic location: Baltimore-Washington corridor with proximity to NASA Goddard, STScI, and numerous research institutions 
  • Interdisciplinary culture: Natural connections between physics, data science, and engineering departments 

Johns Hopkins University is an Equal Opportunity Employer committed to recruiting a diverse faculty and student body. We encourage applications from women, minorities, protected veterans, individuals with disabilities, and members of other protected groups. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 

Additional Information

Application Materials Required:
Submit the following items online at this website to complete your application:
  • Curriculum Vitae
  • Research statement
  • Publication list
  • Three reference letters (to be submitted online by the reference writers on this site help popup)
And anything else requested in the position description.

Further Info:
http://physics-astronomy.jhu.edu/
email address
667-306-8559
 
The Johns Hopkins University
Department of Physics and Astronomy
3400 N. Charles Street
Baltimore, MD 21218