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Lund University
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1 days ago
Postdoctoral Fellow in AI-Based Design of De Novo Protein–Semiconductor Functional Materials Lund University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time fixed-term employment for a maximum of two years. Salary is paid monthly; no specific salary amount or separate stipend is stated.
Deadline
Dec 9, 2026
Country
Sweden
University
Lund University
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About this position
Lund University is seeking a postdoctoral fellow to develop AI-designed protein–semiconductor two-dimensional metamaterials and functional nanoscale materials. The project explores de novo proteins as programmable construction systems that can organize semiconductor materials into periodic structures with molecular-scale control.
The research combines AI-based protein design, computational bioinformatics, protein expression and self-assembly, semiconductor nanotechnology, solid-state physics, and high-throughput experimentation. The postdoctoral researcher will develop computational pipelines for designing proteins and self-assembling systems, produce and optimize designed proteins, and establish screening and characterization approaches for protein and hybrid protein–semiconductor systems.
Work will also involve integrating protein assemblies with substrates and supporting membranes, developing two-dimensional protein–semiconductor materials, and performing structural, optical, electrical, and functional characterization. The research environment spans computational and experimental methods, including semiconductor synthesis, inorganic mineralization, nanoscale characterization, and iterative design–build–test–learn workflows.
The lab aims to translate fundamental discoveries into technologies such as metasurfaces, metalenses, optical materials, sensors, nanoelectronics, photonics, and biologically manufactured functional materials. Researchers are encouraged to pursue new scientific directions, applications, and translational opportunities, including potential spinouts, while collaborating across disciplines and with external partners.
The postdoctoral fellow will join the WISE Research School, a nationwide multidisciplinary network offering seminars, courses, research visits, and interactions with researchers and industry. The position is based within Lund University's Faculty of Science in Lund, Sweden.
Funding details
Full-time fixed-term employment for a maximum of two years. Salary is paid monthly; no specific salary amount or separate stipend is stated.
What's required
Applicants must hold a PhD or internationally equivalent degree in a relevant field such as protein design, computational bioinformatics, hybrid materials, or a closely related discipline, completed no more than three years before the employment decision unless special circumstances apply. Very good oral and written English proficiency is required. Applicants should demonstrate scientific excellence, high-quality research, the ability to formulate and solve research problems independently, and expertise in at least one of de novo protein design pipelines or high-throughput functional screening of proteins or nanomaterials. Experience with AI or computational models for molecular or materials design, nanoscale characterization of inorganic materials, inorganic mineralization or biomineralization, designed protein production and characterization, high-throughput experimentation or automation, and iterative design–build–test–learn workflows is advantageous. Teaching skills, creativity, initiative, independence, and effective interdisciplinary collaboration are also considered.
How to apply
Prepare one PDF application in English containing a CV with publication list, a description of past research and future research interests of no more than three pages, contact details for at least two references, a copy of the doctoral degree certificate and any other relevant certificates or grades, plus a GitHub or GitLab link if available. Submit it through the Varbi application portal.
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