Metallurgy

Investigate high-temperature phenomena and the control of metallic microstructures in welding, casting, laser processing and additive manufacturing. This permanent research role joins the Welding and Joining Technology Group in the Research Center for Structural Materials. Work includes new materials and technologies relevant to resilience and carbon neutrality. The expected start is 1 April 2027, negotiable; applications and recommendations are due 21 October 2026.

Research high-strength steels for naval applications through integrated computational materials engineering. The project combines computational thermodynamics, data-driven modelling and physical metallurgy to accelerate alloy development. Work takes place at IIT Kanpur and IIT Madras. The initial temporary contract lasts one year and may be extended based on performance and project needs.

Tenure-track or tenured faculty recruitment focused on synthesis, processing and consolidation of powder-based metals and ceramics. Priorities include atomization, milling, heat transfer, solidification and microstructure evolution, with links to the Center for Alloy and Powder Synthesis. Duties include independent funded research, teaching, mentoring and service. The nine-month academic appointment is expected to begin 1 August 2027. Full consideration is by 30 November 2026, with later applications considered until filled.

Research high-strength steels for naval applications through integrated computational materials engineering. The project combines computational thermodynamics, data-driven modelling and physical metallurgy to accelerate alloy development. Work takes place at IIT Kanpur and IIT Madras. The initial temporary contract lasts one year and may be extended based on performance and project needs.

Raymundo Arróyave discusses alloy discovery guided by both metallurgical knowledge and Bayesian optimization. The approach combines physical models, high-throughput CALPHAD calculations, microstructural information and experimental feedback to search chemical and processing spaces that are difficult to explore through data alone. Examples involving high-entropy and refractory alloys address multiple objectives and constraints, including feasibility, correlated properties, uncertainty and microstructural sensitivity. The seminar then connects these decision methods to the Autonomous Robotic Metallurgist under development at his university. This platform links modular synthesis, characterization and testing with digital twins, human–robot collaboration and AI agents. The aim is a closed experimental loop in which scientific judgment and physical understanding guide automated execution.