Publisher
source

DEVCOM Army Research Laboratory

Just Landed

Modeling and Simulations of Armor Ceramics: Atomistics to Mesoscale Microstructure DEVCOM Army Research Laboratory in United States

Degree Level

Postdoc

Field of study

Mechanical Engineering

Funding

Available

Country flag

Country

United States

University

DEVCOM Army Research Laboratory

Apply for this position

Keywords

Mechanical Engineering
Mathematics
Uncertainty Analysis
Microstructure Evolution
Multiscale Modeling
Atomistic Simulation
Physics

Suggested positions

Publisher
source

DEVCOM Army Research Laboratory

Country flag

United States

Theoretical and Analytical Guidance Technologies at the DEVCOM Army Research Laboratory (ARL) is a research opportunity based at Aberdeen Proving Ground, Maryland, within the Army’s central laboratory. The project sits in the Weapons and Materials Research Directorate and is part of ARL’s broader Science and Technology campaign in the Sciences-for-Lethality area. The advertised work focuses on ballistics research, guidance, navigation and control, sensor development, and direct and indirect fire...

Mechanical Engineering
Mathematics
Trajectory Analysis
+1 more

Posted Yesterday

Publisher
source

Technische Universität Braunschweig

Country flag

Germany

PhD opportunity at Technische Universität Braunschweig in a research group led by Prof. Henning Wessels . The project sits at the intersection of physics-informed machine learning , computational mechanics , uncertainty quantification , multiscale modeling , generative AI , and inverse design . This is a strong fit for candidates interested in scientific machine learning and mechanics-driven modeling. The post explicitly invites applicants who are passionate about these topics and want to contri...

Computer Science
Mechanical Engineering
Materials Science
+5 more

3 weeks ago

Publisher
source

DEVCOM Army Research Laboratory

Country flag

United States

This research opportunity at the DEVCOM Army Research Laboratory focuses on computational materials science for multi-scale and multi-physics modeling . The project is aimed at accelerating materials development by creating high-fidelity computational models that can connect physical behavior across multiple scales and support analysis, optimization, and design. The advertised research emphasizes the development of computational methodologies , especially numerical methods and associated algorit...

Computer Science
Materials Science
Mathematics
+7 more

3 days ago

Publisher
source

Salah A. Faroughi

University of Utah

Country flag

United States

Professor Salah A. Faroughi at the University of Utah is recruiting two PhD students for a research group opportunity at the intersection of symbolic AI , closure modeling , computational physics , and scientific machine learning (SciML) . The project interests include physics-informed machine learning , operator learning , computational mechanics , symbolic learning , and related numerical methods . This is a strong fit for students interested in combining physics-based modeling with modern AI/...

Computer Science
Mechanical Engineering
Mathematics
+3 more

1 month ago

Publisher
source

Los Alamos National Laboratory

Country flag

United States

Los Alamos National Laboratory is recruiting a Postdoctoral Research Associate for research at the intersection of agentic AI and multiscale modeling , spanning atomistic-to-continuum scales. This opportunity is aimed at candidates interested in combining AI for science with computational modeling to tackle scientific challenges. The post is shared by Jared Keith Averitt , Staff Scientist in the X Theoretical Design – Primary Physics Group at LANL. The announcement does not list detailed eligibi...

Computer Science
Materials Science
Mathematics
+3 more

2 weeks ago

About this position

This research opportunity at the DEVCOM Army Research Laboratory in Aberdeen Proving Ground, Maryland focuses on modeling and simulation of armor ceramics across length scales from atomistics to mesoscale microstructure. The project is centered on understanding ceramic processing-structure-property relationships and using simulation to uncover the fundamental mechanisms that govern microstructure evolution and mechanical response.

The work spans several interconnected computational themes, including thermodynamic modeling of grain boundary complexions, the role of defects and grain boundary character in grain growth and mechanics, mesoscale modeling of microstructure evolution, and bridging simulation scales so that microstructure effects can be incorporated into continuum performance models. The research also includes integrating simulations with experiments, developing virtual materials characterization techniques, and quantifying model variability and uncertainty.

The position is embedded in the Weapons and Materials Research Directorate (WMRD), where research supports armor, survivability, and advanced materials for defense applications. The laboratory environment is described as highly interdisciplinary, with collaboration between computational and experimental teams within ARL and with academia. The named ARL advisor for this opportunity is Shawn Coleman.

Funding details

Available

What's required

Applicants must be U.S. citizens and must have received a PhD in Materials Science, Mechanical Engineering, Chemical Engineering, Physical Chemistry, Physics, or Mathematics. A complete application requires a CV or resume, three reference forms, and transcripts verifying receipt of the degree; an unofficial or student copy is acceptable. If selected, the participant must also prepare a research proposal aligned to a specific ARL opportunity. The opportunity is open to any academic level and any degree according to the program eligibility section, but the research description explicitly seeks candidates who already hold a PhD.

How to apply

Apply through the Zintellect application link provided in the advert. Upload your CV or resume, arrange for three references, and submit transcripts with your application. If you are selected by an advisor, prepare and upload the required research proposal when the link is provided.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.