PhD Position in Solid Mechanics: Development of Data-Driven Methods (AI-Assisted Design of Fiber-Based Products) KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for a fully funded PhD position in solid mechanics, focusing on the development of data-driven and AI-assisted methods for the design of fiber-based products. This position is part of the Marie Skłodowska-Curie Doctoral Network ENDURE, which brings together 12 doctoral students, 5 universities, 2 research institutes, and 8 industry partners across four countries. The project is funded by the EU's Marie Skłodowska-Curie Actions (MSCA) and offers a unique opportunity to work at the intersection of academia and industry. The doctoral candidate will be based at KTH and the industrial partner Yangi AB, gaining interdisciplinary expertise in natural fiber material technology, product design, production engineering, and digital manufacturing (Industry 4.0). The research aims to develop an AI-based hybrid tool for diagnosis and prognosis in the dry forming of cellulose fibers, bridging the gap between advanced simulations and industrial product development. Supervision: The main supervisor is Professor Artem Kulachenko, with additional contact Sören Östlund. The final decision on supervision will be made upon admission. Funding and Benefits: The position offers a monthly salary according to KTH's doctoral student agreement (starting at 33,000 SEK/month, approx. 2,991 EUR), with additional mobility and possible family allowances under the MSCA program. The employment is full-time and limited to four years, with the possibility of renewal as per Swedish regulations. The position includes opportunities for professional development, international collaboration, and contributing to industrially relevant research questions. Eligibility and Requirements: Applicants must not have resided or carried out their main activity in Sweden for more than 12 months in the 3 years prior to recruitment. A master's degree or equivalent (at least 240 ECTS credits, with at least 60 at advanced level) is required. English proficiency equivalent to English B/6 is mandatory. Selection criteria include the ability to work independently, collaborate, maintain a professional approach, and analyze complex issues. Merits include knowledge of numerical methods (FEM), programming (Python, Matlab, C++, Fortran), background in material mechanics or computational modeling, experience with machine learning for physical fields/PDE/GNN and HPC/Big Data, and interest in interdisciplinary collaboration and teaching/lab assistance. Personal qualities are highly valued. Application Process: Applications must be submitted via the KTH recruitment system. Required documents include a CV, cover letter, degree certificates and transcripts, proof of English proficiency, and representative publications or technical reports. All materials must be submitted by 2025-11-30 (midnight CET/CEST). About KTH: KTH is a leading international technical university, actively contributing to the transition to a sustainable society. The university offers a creative and dynamic work environment with excellent working conditions and benefits, and values equality, diversity, and equal opportunities as core principles. For further information, contact Professor Artem Kulachenko ([email protected]) or Sören Östlund ([email protected]). Apply here

This PhD position at KTH Royal Institute of Technology is part of the ENDURE Marie Skłodowska Curie Doctoral Network, focusing on 'Sustainable polymer barriers for moulded cellulose fibre products.' The project aims to develop and apply high-performance barrier layers for use in moulded fibre products, with a strong emphasis on sustainability, recyclability, and advanced materials engineering. The doctoral student will work at the intersection of polymer science, materials chemistry, and chemical engineering, gaining experience in both fundamental research and practical application development. The research will involve synthesizing, integrating, and modeling the structure and properties of barrier layers during synthesis, lamination, use, and recycling. The position is hosted at KTH in Stockholm, Sweden, and is supported by the associated partner Yangi AB, providing opportunities for collaboration with industry and other academic institutions across Europe. The ENDURE network comprises 5 universities, 2 research and technology organizations, and 8 industry partners from four countries, offering a unique employability and skills development process for doctoral candidates. Supervision will be provided by Professor Ulrica Edlund (main supervisor), with co-supervision from Professor Artem Kulachenko (KTH) and Dr. Mårten Alkhagen (Yangi AB). The position offers a dynamic and international research environment, monthly salary according to KTH's doctoral student salary agreement (starting at 33,000 SEK/month), and additional Marie Curie mobility and possible family allowances. Applicants must meet mobility rules (not have resided in Sweden for more than 12 months in the past 3 years), hold a relevant master's degree or equivalent, have completed university-level coursework in polymer chemistry, materials chemistry, or polymer technology, and demonstrate English proficiency equivalent to English B/6. Selection will be based on academic qualifications, motivation, and personal skills such as independence, collaboration, and analytical ability. The position is full-time, temporary (up to four years), and offers opportunities to contribute to highly industrially relevant research and develop advanced experimental skills. Applications must be submitted through KTH's recruitment system by November 30, 2025, and should include a CV, application letter, diplomas, proof of language proficiency, and representative publications. For more information about the project, visit the ENDURE project page or contact Professor Ulrica Edlund at [email protected].

This PhD position at KTH Royal Institute of Technology is part of the ENDURE Marie Skłodowska Curie Doctoral Network, focusing on 'AI-assisted natural fibre moulding component design.' The project aims to advance the European moulded fibre products (MFP) industry by developing an AI-based hybrid tool for diagnosis and prognosis in the dry forming of cellulose fibres. This tool will integrate experimental data with physics-based models, bridging the gap between advanced simulations and industrial product development. The doctoral candidate will be hosted at KTH in Stockholm and supported by Yangi AB, gaining experience in both fundamental research and industrial applications. The research environment is highly international and collaborative, involving five universities, two research and technology organizations, and eight industry partners across four countries. The position offers a dynamic workplace with employee benefits, a competitive monthly salary (starting at 33,000 SEK/month), and additional Marie Curie mobility and family allowances. The candidate will have opportunities to contribute to industrially relevant research, develop advanced computational and experimental skills, and participate in a unique employability and skills development process. Admission requirements include a second cycle degree (e.g., master's) or equivalent, with at least 240 higher education credits (60 at second-cycle level), and English proficiency equivalent to English B/6. Candidates must not have resided or conducted their main activity in Sweden for more than 12 months in the three years prior to recruitment. Selection criteria emphasize goal orientation, perseverance, independence, collaboration, and analytical skills. Additional qualifications such as proficiency in numerical methods (FEM), programming (Python, Matlab, C++, Fortran), background in mechanics of materials or computational modelling, and experience with machine learning for physical fields/PDEs/GNNs and HPC workflows are advantageous. The position is full-time, temporary, and renewable up to four years, with a target degree of Doctoral degree. Applications must be submitted through KTH's recruitment system and include a CV, application letter, diplomas, proof of English proficiency, and representative publications. The application deadline is November 30, 2025. For more information, contact Professor Artem Kulachenko ([email protected]) or Sören Östlund ([email protected]).

This PhD position at KTH Royal Institute of Technology is part of the Marie Skłodowska-Curie Doctoral Network ENDURE, focusing on sustainable polymeric barriers for molded cellulose-based fiber products. The project aims to advance the European packaging industry by developing high-performance barrier layers for fiber-based packaging, integrating synthesis, application, and modeling of structure and properties throughout synthesis, lamination, use, and recycling. The doctoral candidate will gain expertise in both fundamental research and industrial application, working closely with KTH and the industrial partner Yangi AB. Supervision will be provided by Professor Ulrica Edlund (main supervisor), Professor Artem Kulachenko (KTH), and Dr. Mårten Alkhagen (Yangi AB). The position offers a dynamic, international research environment with collaboration across five universities, two research institutes, and eight industry partners in four countries. The successful candidate will develop advanced characterization and experimental skills, contribute to industrially relevant research questions, and benefit from a comprehensive training program designed to foster interdisciplinary engineering talent in natural fiber materials, product design, production technology, and digital manufacturing (Industry 4.0). Funding is provided through the EU's Marie Skłodowska-Curie Actions, including a monthly salary according to KTH's doctoral salary agreement (starting at 33,000 SEK/month, approx. 2,991 EUR), mobility allowance, and possible family allowance. The position is full-time and limited to four years, with the possibility of renewal according to Swedish regulations. Employment benefits and a creative, supportive work environment are offered, with a strong commitment to equality, diversity, and professional development. Eligibility requirements include not having resided or had main activity in Sweden for more than 12 months in the past three years, a completed advanced degree or equivalent (minimum 240 ECTS credits, with at least 60 at advanced level), completed university courses in polymer chemistry, materials chemistry, or polymer technology, and English proficiency equivalent to English B/6. Selection will emphasize independence, collaboration, professionalism, analytical skills, and interdisciplinary work, with personal qualities highly valued. Applications must be submitted via KTH's recruitment system by November 30, 2025. Required documents include a CV, cover letter, degree certificates, transcripts, proof of language proficiency, and representative publications. For further information, contact Professor Ulrica Edlund at [email protected].