Postdoctoral Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Join us at the Division of Chemical Physics, Department of Physics and Astronomy, and contribute to the development of next-generation artificial intelligence methods for materials discovery and sustainable energy technologies. About us  The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University of Technology, with broad activities ranging from fundamental physics to applied research addressing societal challenges in energy, sustainability, and digitalization. About the research project   The project aims to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials to identify new multicomponent optoelectronic materials for energy-conversion applications. The successful candidate will contribute to the development of an autonomous materials-discovery framework capable of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for  We seek a highly motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in Physics, Materials Science, Chemistry, Chemical Engineering, Computer Science, Applied Mathematics, or a closely related field, or an equivalent foreign degree. The degree must be awarded no later than the time the employment decision is made. Strong written and verbal communication skills in English. Experience in machine learning, scientific computing, computational physics, computational chemistry, or related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong analytical and problem-solving skills. Good interpersonal skills and a demonstrated ability to collaborate in interdisciplinary teams. You are expected to have some experience with teaching or supervision and to demonstrate strong potential for future development in both research and education. Meritorious qualifications It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do  As a postdoctoral researcher, you will: Develop machine-learning and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI models. Publish research results in leading international journals and present findings at international conferences. Contribute to the development of open and reproducible scientific software. The position also includes: Supervision of master's students and, to some extent, PhD students. Opportunities to contribute to teaching at undergraduate and master's levels. Collaboration with national and international academic and industrial partners. Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  working at Chalmers  and our benefits for employees.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus.  Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than 17 July  For questions please contact:  Anders Hellman Professor  anders.hellman@chalmers.se

SVERIGES LANTBRUKSUNIVERSITET

Department of Forest Bioeconomy and Technology Do you want to help shape the future of sustainable materials? We are seeking a highly motivated postdoctoral researcher to advance the design of next-generation bio-based adhesives that meet both sustainability targets and industrial performance requirements. In this project, you will combine cutting-edge approaches in polymer science and AI-driven modelling to develop predictive frameworks and high-performance adhesive systems for furniture, construction and packaging industries. You will work at the interface of fundamental science and real-world application, contributing to the transition toward a more sustainable materials economy. If you have a strong research background and a drive for innovation, this position offers an exciting opportunity to take the next step in your academic career! The recruitment is done within the BioGlue-Centre “Competence Centre for Bio-based Adhesives”, which is a Vinnova Competence Centre in Sustainable Industry and Digital Transformation. The vision of the Centre is to significantly reduce the dependency on fossil-based materials in the adhesive industry by developing paradigm-shifting knowledge of bio-based adhesives and becoming a world-leading research environment in Sweden. It is built around a network of top-scientists with expertise in polymer science, adhesives, technology, and sustainability located at the Department of Forest Bioeconomy and Technology at SLU (https://www.slu.se/en/about-slu/organisation/departments/department-of-forest-bioeconomy-and-technology/), the Department of Fibre and Polymer Technology at KTH (https://www.kth.se/fpt/fibre-and-polymer-technology-1.778696), and the Department of Forestry and Wood Technology at Linnaeus University (https://lnu.se/en/meet-linnaeus-university/Organisation/faculty-of-technology/meet-the-faculty-of-technology/forestry-and-wood/). The Centre unites 13 companies along the value chain in furniture, packaging and construction sectors that share the same research questions around adhesives and adhesive bonding. About the position The development of bio-based adhesives is currently limited by a lack of predictive understanding of how formulation chemistry translates into material performance. This project addresses this challenge by establishing a data-driven framework for the rational design of high-performance bio-adhesives. As a postdoctoral researcher, you will work on integrating experimental formulation, molecular-level characterization, and machine learning to develop predictive models linking chemical descriptors to adhesive properties. The work includes the development of a structured formulation library, systematic mapping of key performance indicators, and the implementation of data-driven optimization strategies to identify high-performing systems. Machine learning approaches will be used to uncover structure-property relationships and guide formulation design. The project combines experimental and computational approaches and includes validation of selected formulations on industrially relevant substrates. You will collaborate closely with academic and industrial partners and contribute to the development of a transferable predictive toolbox for next-generation sustainable adhesives. Your profile We are seeking a highly motivated postdoctoral researcher with a doctoral degree obtained within the last three years in materials science, polymer science, chemistry, chemical engineering, or a closely related field. The ideal candidate has strong expertise in polymer formulation and structure-property relationships, particularly in the modification and crosslinking of bio-based or functional polymers for adhesive or related applications. Experience with advanced material characterisation techniques is expected. A strong interest in data-driven research is essential. Experience with modelling approaches, data analysis, or machine learning applied to materials or chemical systems is considered a strong merit. You are expected to have excellent communication skills in English, both written and spoken, and a clear motivation to pursue an academic career. The ability to work independently, take initiative, and collaborate effectively in an interdisciplinary and international research environment is essential. In the evaluation of candidates, particular emphasis will be placed on (1) scientific excellence in polymer and materials science, (2) experience or demonstrated potential in applying machine learning and data-driven approaches to materials or formulation design, and (3) the ability to contribute to and expand ongoing research activities within the group. About us The Department of Forest Bioeconomy and Technology at SLU brings together expertise in technology, natural and social sciences. The department provides world-class interdisciplinary environment for research and education in the circular bioeconomy, with activities at the campuses in Umeå and Uppsala, and nationally and internationally. Our work spans the entire value chain of the forest-based bioeconomy – from analysing how resources can be used and governed to developing technologies, materials, and industrial processes for sustainable bio-based products and systems. The Department is responsible for education at the bachelor’s, master’s, and doctoral levels and collaborates closely with both industry and academia nationally and internationally. With us, you can help shape a more sustainable bio-based society. For more information about the department or division visit: https://www.slu.se/om-slu/organisation/institutioner/skoglig-bioekonomi-och-teknologi/?gad_source=1&gad_campaignid=21086656031&gclid=EAIaIQobChMIwMj3yOmalQMVdluRBR3n7yxAEAAYASAAEgKD_fD_BwE Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: The position may start as agreed between both parties but not later than January 1, 2027. Application: Please submit your application before deadline 16 August 2026. You can submit your application by clicking the button below. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/

SVERIGES LANTBRUKSUNIVERSITET

Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies.   About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/). We are looking for an ambitious post-doc to join this effort. Tasks and duties You are the person who makes the simulations meaningful. The technical infrastructure produces outputs in the form of thousands of LLM-generated texts from prompts. Your job is to ensure that these outputs are grounded in real human behavior, real political dynamics, and real institutional logic. Concretely this means: Scenario architecture. Each simulation is defined by a scenario with an initial world state, a cast of agents, communication channels, institutional constraints, document corpora. You will design scenarios focusing on negotiations of nature conservation policies and socio-ecological hybrid warfare. Agent persona construction. For each agent you will define the identity prompt, ideology vector, personality traits, decision mode weights, and the affect parameters that govern when agents escalate beyond their default moderation. This means extracting positions, rhetorical styles, strategic preferences, and psychological profiles from real-world sources. Analysis and validation of simulation outputs. After Monte Carlo runs, you will analyze the distribution of outcomes (e.g. which policies emerge) and will also design behavioural signature validation (e.g. verifying that simulated agents exhibit the expected action distributions when compared against empirical baselines). Publication and dissemination. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI, a space with very few competitors and high visibility.  You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/%20) and a research engineer in AI (recruited concurrently). The three of you will form the core team. Your profile Required A PhD in computational social science (or political science, psychology, behavioural economics, evolutionary anthropology or a related field) with strong quantitative skills. The PhD must be completed by the start date. Ability to reflect about strategic behaviour, political dynamics, or social processes in a structured, analytical way, whether through formal models, experiments or quantitative analysis. Willingness to work with AI and LLMs. You should be comfortable working critically with AI-generated outputs, interpreting how LLMs respond to instructions, and contributing to the design, testing, and refinement of prompts. Strong writing skills: clarity, precision, and the ability to communicate across disciplinary boundaries. Desirable Experience with agent-based modelling, game theory, simulation, or experimental methods in the social sciences. Experience with LLMs and their capabilities for simulating human behaviour such as the emerging literature on "silicon samples" and next-generation social simulations. Understanding of institutional design, legislative procedures, or multi-level governance. The simulation enforces procedural constraints, and designing these correctly requires knowing how real institutions actually work. Reading proficiency in Swedish, not required but an advantage. Assessment criteria Applications will be assessed on the following: Intellectual depth and originality. We are looking for someone who has demonstrated the ability to produce genuinely novel ideas, not incremental extensions of existing work. Your PhD thesis, publications, or research statement should show that you think independently and are drawn to hard, underexplored scientific problems. Interdisciplinary range. The ideal candidate is not easily captured by a single disciplinary label. If your work connects political behaviour, psychology, strategic interaction, and computational methods, even in an unconventional way, you are more interesting to us than a narrow specialist with a longer publication list. Fit with the project’s ambition. This is a project that aims to pioneer a new field and we want someone who finds that proposition thrilling rather than risky. Your application should make clear why this project, not just why a postdoc. Because the research area is new, you also need to be able to work in relative isolation. Cross-discipline disposition. You will work daily with questions from very different disciplines: computer science, AI, ecology, political science, geopolitics. The ability to communicate across disciplinary silos is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another Swedish academic institution with a core expertise in computational social science. Form of employment: Fixed-term employment 24 months, with possibility of extension. Scope: 100%. Start date: As agreed, as soon as possible after recruitment. Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. Application requirements are available on the SLU website.