The Solid State Materials Processing department of the Institute of Materials Mechanics, at the Helmholtz-Zentrum Hereon is looking for two PhD students (m/f/d), initially limited to 3 years, within the ERC Consolidator Grant "Modelling Assisted Solid State Materials Development and Additive Manufacturing" (⁠https://cordis.europa.eu/project/id/101001567). On the first PhD position, responsibilities are towards experimental investigations with focus on Additive Manufacturing (AM) via Solid State Layer Deposition. The tasks on the second PhD position are modelling-oriented with strong focus on machine learning approaches, applied to an innovative process chain along Solid State Materials Development and Additive Manufacturing.

Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the positions.

Your tasks

• execution and responsible handling of the research project funded by the European Union, i.e. the ERC Consolidator Grant Modelling Assisted Solid State Materials Development and Additive Manufacturing (https://cordis.europa.eu/​project/​id/​101001567)
• fundamental understanding of relationships between process variables and resulting microstructure
• working in an interdisciplinary team
• publication of the results in scientific journals and at conferences

PhD position 1:

• experimental production and analyses of AM parts via Solid State Layer Deposition process
• process/microstructural characterization, including ex situ/ in-situ characterization
• implementation of the work of WP4 “Solid State Additive Manufacturing via Solid State Layer Deposition” within the ERC project (https://www.hereon.de/​institutes/​materials_mechanics/​solid_state_materials_p rocessing/​madam/​index.php.en)

PhD position 2:

• application of methods of machine learning for decrypting composition-process-microstructure-property relationships
• development of surrogate models for the developed process chain within the ERC project
• implementation of the work of WP6 “Machine Learning for decrypting Composition-Process-Microstructure-Property” within the ERC project (https://www.hereon.de/​institutes/​materials_mechanics/​solid_state_ materials_processing/​madam/​index.php.en)

Your profile

• university degree in the field of mechanical engineering, physics, materials science, computer science or comparable (master's degree or equivalent)
• ability to work scientifically, usually proven by an above-average degree
• PhD position 1: knowledge in the field of experimental processes and microstructure characterization
• PhD position 2: knowledge in the field of machine learning, AI and/or computational mechanics
• knowledge of microstructural evolution in metals is advantageous
• knowledge in the field of solid state joining processes is advantageous
• very good oral and written expression in English, German is advantageous
• ability to work in a team and commitment to the work programme

We offer you

• multinational work environment with more than 1,100 colleagues from more than 50 nations
• extensive options of vocational training (i. e. expert seminars, language courses or leadership seminars)
• flexible working hours and various models to ensure the compatibility of family and career
• excellent infrastructure, including a scientific in-house library as well as modern work spaces
• remuneration according to the standards of the collective wage agreement TV-AVH including further social benefits
• free employee advice – Employee Assistance Program (EAP)
• Welcome Office, guest accommodation
• PhD Buddy Program
• canteen
• possibility to enrol in the doctoral program (Dr.-Ing.) at the Leuphana University of Lüneburg