Multiple Postdoc and PhD Positions in Multiscale Simulation and AI4M Full-time NEW

The Lab at Harbin Institute of Technology invites applications for postdoctoral researchers and PhD students in the broad area of advanced materials and structures. The recruited candidates will work on the development, understanding, and optimization of high-performance materials and structural systems by integrating multiscale simulation, artificial intelligence, high-throughput computation, and experimental/materials-processing approaches.

Research directions
Successful candidates will contribute to one or more of the following areas:

• Multiscale simulation of advanced materials
  Atomic-scale and mesoscale modeling of deformation, defects, interfaces, phase transformation, fracture, fatigue, and structure–property relationships using methods such as DFT, molecular dynamics, Monte Carlo simulation, phase-field modeling, crystal plasticity, finite element analysis, and other computational mechanics approaches.
•  AI for materials design and discovery
  Development and application of machine learning, deep learning, graph neural networks, generative models, optimization algorithms, and materials informatics for accelerated materials discovery, property prediction, inverse design, microstructure analysis, and process–structure–property optimization.
• High-performance materials and structures
  Design and analysis of advanced metallic materials, lightweight structures, damage-tolerant materials, and multifunctional structural systems with improved strength, ductility, toughness, fatigue resistance, thermal stability, and service performance.
•  Additive manufacturing / 3D printing
  Research on process–microstructure–property relationships in additively manufactured materials, including laser powder bed fusion, directed energy deposition, defect formation, residual stress, microstructure evolution, and performance optimization.
• High-entropy alloys and complex concentrated alloys
  Computational and/or experimental research on HEAs/CCAs, including alloy design, short-range order, phase stability, deformation mechanisms, precipitation, irradiation response, and additive manufacturing of HEA systems.

Candidate requirements
Applicants with backgrounds in the following areas are strongly encouraged to apply:

• Materials science and engineering, mechanical engineering, computational mechanics, applied physics, computational chemistry, metallurgy, or related fields.
• Experience in one or more simulation methods: DFT/VASP, LAMMPS, molecular dynamics, Monte Carlo, phase-field, crystal plasticity, finite element modeling, or multiscale modeling.
• Experience in machine learning, AI for science, materials informatics, data-driven modeling, Python programming, or high-throughput computation.
• Experience in 3D printing/additive manufacturing, high-entropy alloys, advanced metallic materials, or microstructure characterization is highly desirable.
• Strong motivation, independent research ability, good communication skills, and interest in interdisciplinary collaboration.

For postdoctoral applicants, a PhD degree in a relevant discipline is required. A strong publication record and experience in proposal writing, student mentoring, or interdisciplinary collaboration will be advantageous.
For PhD applicants, a strong academic background, research motivation, and programming or experimental experience are preferred.

What we offer
The group provides a highly interdisciplinary research environment combining materials theory, computation, artificial intelligence, advanced manufacturing, and experimental validation. Successful candidates will have opportunities to work on frontier research topics, publish in high-impact journals, collaborate with national and international partners, and develop expertise in both computational and AI-driven materials research. Competitive stipend/salary, research support, and career-development opportunities will be provided.

How to Apply
Please submit the following materials as a single PDF:
• Cover letter describing research interests and relevant experience
• Curriculum vitae

Please send documents to [Please click the Apply button for the link or address]

Tagged as: Engineering