Job Details
Job Title: Postdoctoral Fellow
Location: Atlanta, Georgia
Regular/Temporary: Regular
Full/Part Time: Full-Time
Job ID: 301330
About Us
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship.…
Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
- Students are our top priority.
- We strive for excellence.
- We thrive on diversity.
- We celebrate collaboration.
- We champion innovation.
- We safeguard freedom of inquiry and expression.
- We nurture the wellbeing of our community.
- We act ethically.
- We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
Location
This position is located in Atlanta, Georgia at Georgia Institute of Technology.
Department Information
About the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology
The Woodruff School graduates high caliber mechanical engineers for a demanding profession. Mechanical engineers are the foundation of today's technological world. To do so, we provide enhanced facilities and laboratories to create the best learning environment, and we attract outstanding faculty and students. In this period of rapid technological change, the Woodruff School produces mechanical engineers who are vital to our future. We also host a vibrant nuclear and radiological engineering program, offering both undergraduate and graduate degrees.
With approximately 3,000 students,100 faculty members, and 70 staff members, we are one of the largest mechanical engineering programs in the country. We are consistently ranked as one of the top 5 mechanical engineering programs in the U.S. at both the graduate and undergraduate levels and continuously innovate to keep our school at the forefront of engineering education. Our size and resources allow us to offer educational and research opportunities that enable us to produce highly sought after engineering professionals.
Job Summary
We are seeking a Postdoctoral Fellow with expertise in one or more of the following areas:
- Computational fluid dynamics and/or computational aerosol transport
- Monte Carlo radiation transport
- Internal dosimetry, biokinetic modeling, PBPK modeling, and/or dose reconstruction
- Scientific machine learning and/or artificial intelligence
- Reduced-order modeling and/or uncertainty quantification
- Scientific software development
Responsibilities
Conduct independent computational research while contributing to multiple sponsored research projects.
Develop and validate computational models using computational fluid dynamics, Monte Carlo radiation transport, mechanistic modeling, machine learning, and/or related numerical methods.
Design and execute computational studies using high-performance computing resources.
Develop and maintain scientific software using reproducible software engineering practices, including version control, documentation, and testing.
Analyze computational results and communicate findings through publications, sponsor reports, and technical presentations.
Assist with proposal development, project coordination, and laboratory research activities.
Mentor graduate and undergraduate researchers.
Conduct independent research in computational radiation science and engineering using computational modeling, numerical simulation, and scientific software development.
Develop, implement, and validate computational models for radiation transport, computational fluid dynamics, aerosol transport, internal dosimetry, biokinetics, atmospheric dispersion, consequence assessment, and/or related multiphysics applications.
Develop scientific software, computational workflows, and analysis tools using modern programming practices and high-performance computing resources.
Contribute to the development and application of machine learning, reduced-order models, uncertainty quantification, and/or physics-informed artificial intelligence methods.
Prepare peer-reviewed journal publications, technical reports, conference presentations, and research proposals.
Mentor graduate and undergraduate students and contribute to the scientific direction of the RED² Laboratory.
Collaborate with multidisciplinary research teams across academia, national laboratories, industry, and government.
Required Qualifications
A Ph.D. in Nuclear Engineering, Mechanical Engineering, Medical Physics, Biomedical Engineering, Applied Physics, Computational Science, Computer Science, or a closely related field.
Preferred Qualifications
Demonstrated expertise in computational modeling, numerical methods, and/or scientific computing.
Experience programming in Python and/or C++, Fortran, Julia, or another scientific programming language.
Experience working in Linux computing environments and/or high-performance computing systems.
Strong publication record demonstrating independent research.
Excellent written and verbal communication skills.
Computational fluid dynamics and/or computational aerosol transport
Monte Carlo radiation transport
Internal dosimetry, biokinetic modeling, PBPK modeling, and/or dose reconstruction
Scientific machine learning and/or artificial intelligence
Reduced-order modeling and/or uncertainty quantification
Scientific software development
Experience with OpenFOAM, STAR-CCM+, ANSYS Fluent, MCNP, PHITS, Geant4, OpenMC, MELCOR, MACCS, or similar computational software.
Experience developing scalable scientific software for high-performance computing applications.
Experience with Bayesian inference, probabilistic methods, and/or statistical modeling.
Experience applying machine learning and/or physics-informed artificial intelligence to engineering or biomedical applications.
Familiarity with Git, automated software testing, and collaborative software development.
Experience preparing peer-reviewed publications, technical reports, and competitive research proposals.
Demonstrated ability to mentor students and collaborate effectively within multidisciplinary research teams.
Knowledge, Skills, & Abilities
The ability to mentor students at the undergraduate and graduate level, while also collaborating with academic and industry partners.
Excellent documentation and reporting skills.
Excellent written and verbal communication skills, including the ability to prepare technical reports and presentations.
Contact Information
You can find more information about the lab here: Radiological Engineering, Detection, and Dosimetry Laboratory (RED²) Just another Sites @ Georgia Tech site
You may reach out to Dr. Shaheen Dewji at: shaheen.dewji@gatech.edu or Johnieda Merrittt at: johnieda.merritt@me.gatech.edu for additional information.
This position is 100% supported by the sponsored funds.
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