PhD position in topology optimization and residual stress modeling for additive manufacturing of Ni₃Al-intermetallic based alloys
Tallinn University of Technology (TalTech) offers a fully funded four-year PhD position in the Department of Mechanical and Industrial Engineering, focusing on topology optimization and residual stress modeling for additive manufacturing of Ni₃Al-intermetallic based alloys. The research centers on developing computational frameworks for laser powder bed fusion (LPBF) processes, integrating residual stress considerations into the structural design of high-performance alloys. Ni₃Al-intermetallic alloys are valued for their exceptional high-temperature mechanical properties, making them ideal for aerospace propulsion systems and other demanding applications.
The project aims to advance topology optimization algorithms that address lightweight structural design, mechanical performance, and manufacturability constraints, specifically targeting residual stress formation during LPBF. The PhD student will employ computational tools such as finite element modeling and optimization algorithms to explore the interplay between structural topology, process parameters, and residual stress development. The research will also involve thermomechanical modeling to minimize residual stress accumulation and improve printability, with simulation outcomes validated against experimental observations.
TalTech’s Department of Mechanical and Industrial Engineering is renowned for its practical engineering research, including autonomous vehicle systems, advanced coating technologies, and additive manufacturing. The department maintains strong industry collaborations and is equipped with state-of-the-art laboratories for powder metallurgy, laser processing, and materials testing, supporting a wide range of research activities from optical measurements to chemical analysis.
The PhD position offers involvement in both European and national-level research initiatives, opportunities for international conference participation, research exchanges, and networking with leading universities and research centers. The student will actively collaborate with industrial and academic partners, contributing to innovative solutions in materials engineering.
Applicants must have a Master’s degree in a relevant field (Mechanical Engineering, Aerospace Engineering, Materials Science, Computational Mechanics, Applied Mathematics, Physics) and demonstrate strong interest and skills in additive manufacturing, topology optimization, computational design, and process modeling. Experience with numerical methods, finite element analysis, and structural/mechanical simulations is required; familiarity with residual stress modeling or optimization algorithms is advantageous. Candidates should possess solid mechanics and thermomechanical knowledge, analytical and problem-solving skills, and motivation to integrate computational models with experimental validation.
To apply, candidates should submit their CV, motivation letter, degree certificates, and passport copy via the Academic Positions portal or directly to Dr Tatevik Minasyan at [email protected]. The application deadline is April 17, 2026. For further information, contact Dr Tatevik Minasyan or Prof Irina Hussainova, or visit the department’s webpage.
