ADIA Lab, an independent research institution based in [Neutral Location] specializing in data and computational sciences, is seeking a Senior Computational Scientist with a focus on Material Sciences. This position plays a pivotal role in establishing a new research group, cultivating and expanding a globally recognized team of researchers, and leading lab-wide initiatives at [Neutral Location] and within the broader international community. Our goal is to leverage computational science and data-driven discovery to accelerate breakthroughs in materials for energy, sustainability, and advanced technologies.
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Responsibilities
- Establish and lead a new Material Sciences research group within [Neutral Location], focusing on computational modeling, simulation, and data-driven materials discovery.
- Drive cross-disciplinary research combining physics-based modeling, data science, and high-performance computing to address grand challenges in materials for energy, climate, and technology.
- Develop and apply computational frameworks for multiscale modeling, quantum-to-continuum simulations, and AI-assisted materials design.
- Build and coordinate a strong, collaborative research team and network, with an emphasis on strategic leadership and partnership development.
- Collaborate with national and international research institutions, fostering a community science approach to accelerate progress in computational materials research.
- Build partnerships with universities, laboratories, and industry to initiate joint programs, funding proposals, and collaborative platforms for materials informatics and open data.
- Publish research results in high-impact journals, contribute to white papers and global assessments, and represent [Neutral Location] at leading international conferences.
- Supervise and mentor junior scientists, postdoctoral fellows, and students, nurturing future leaders in computational materials science.
- Play a central role in shaping, growing, and coordinating the Materials Science group as a core pillar within [Neutral Location]’s mission, ensuring long-term sustainability and global visibility.
- Work closely with [Neutral Location] Fellows and the Advisory Board to shape the strategic direction of materials science research at [Neutral Location].
Requirements
- PhD in materials science, physics, chemistry, computational science, applied mathematics, or a related field.
- Minimum of 6 years of post-PhD experience in computational materials research, data-driven materials design, or closely related domains.
Preferred Qualifications
- Proven record of leading a research group or major project in computational or data-driven materials science.
- Demonstrated expertise in atomistic and first-principles simulations (DFT, molecular dynamics), mesoscale modeling, or continuum methods.
- Experience with machine learning for materials discovery, data curation, and materials informatics platforms (e.g., Materials Project, NOMAD, AiiDA).
- Familiarity with high-performance computing environments, parallel programming, and workflow automation for large-scale simulations.
- Proficiency in programming languages such as Python, C/C++, Fortran, and tools including Git, Linux, and LaTeX.
- Strong publication record and recognized contributions to the international materials science community.
- Excellent leadership, mentoring, and communication skills.
Benefits
Be part of [Neutral Location]’s mission to advance computational and data sciences that address humanity’s most pressing challenges. As a Senior Computational Scientist in Material Sciences, you will have the opportunity to shape a world-class research program, build and lead a dynamic interdisciplinary team, and collaborate with a global network of innovators driving the next revolution in materials discovery.
