Postdoctoral studies in Experimental Systems Neuroscience (scholarship)

Postdoctoral position in Plant Evolutionary Genomics and Pangenomics Department of Plant Biology About the position A postdoctoral position in plant evolutionary genomics is available in the Yant Lab at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. The Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and whole-genome duplication across diverse plant systems (see https://www.yantlab.net/).  The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations threatened by ash dieback. The successful candidate will contribute to developing the first Swedish-focused European ash pangenome, integrating long-read genome assemblies with population-scale sequencing to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies, and evolutionary genomics using state-of-the-art long-read sequencing and computational genomic approaches. The successful candidate will work closely with collaborators at other SLU campuses, the Royal Botanic Gardens, Kew, and other European partners, contributing to both methodological developments and biological discovery. The project offers an opportunity to work at the forefront of plant evolutionary genomics while contributing directly to forest restoration and conservation. Your profile We are looking for a highly motivated candidate with a PhD in botany, evolutionary biology, genetics, genomics, bioinformatics, plant biology, or a related subject deemed equivalent by the employer. The applicant should have a strong publication record relative to career stage and demonstrated ability to conduct independent research. The ideal candidate will have experience in all of the following areas: -large scale population genomics, demographic inference, and evolutionary genomics -graph-based pangenomics and structural variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients, including demographic inference and genotype–environment association analyses  Experience with long-read sequencing, structural variant analysis, graph-based genome analysis, and plant genomics is considered an advantage but is not required. The successful candidate is expected to be a collaborative team member who will drive the project with creativity, independence, and scientific curiosity. Excellent written and spoken English is required. Since postdoctoral appointments are career-development positions, priority will be given to candidates who received their doctoral degree within the past three years.  About us The Department of Plant Biology (www.slu.se/en/vbsg) offers a creative and stimulating international environment and is one of several departments that make up the ‘Uppsala BioCenter’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants with microorganisms and other environmental stresses, plant growth and development, biotechnology and metabolic engineering, regulation of gene expression, population genetics, genome analysis, and the development of breeding systems. Species in use are model organisms such as the entire Arabidopsis genus, Physcomitrella, Cochlearia, crops such as rapeseed, basket willow (Salix), potato, and cereals, and pathogens such as viruses, bacteria, and fungi/oomycetes. The department is responsible for basic and advanced courses in general and molecular genetics, cell biology, gene technology, plant physiology, plant breeding, plant biochemistry and biotechnology, and molecular interactions between plants and pathogens. In addition, the department contributes to various courses together with other departments. Uppsala, Sweden ́s fourth-biggest city, has two universities and with more than 50 000 students a vibrant student atmosphere. It is located in the Greater Stockholm area and has an excellent connection to the Stockholm-Arlanda international airport. For more information about the department visit: https://www.slu.se/en/departments/plant-biology-forest-genetics/  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: 1 November 2026.  Application: Please submit your application before deadline 31 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/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.  Contact person: Levi Yant Professor levi.yant@slu.se   The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet.

ABOUT THE POSITION You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. ---------------------------------------------------------------------------------------------------------------------------------- MANDATORY REQUIREMENTS * PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. * Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI). * Demonstrated expertise in at least two of the following areas: * semantic parsing or structured NLP * knowledge representation, reasoning graphs, or GNNs * natural language generation, explainability, or rationale modeling * ontology alignment, cross-domain transfer, or representation learning * personalization algorithms, metacognition, or educational AI * human-in-the-loop systems or RLHF * Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects. * Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). * Strong analytical, communication, and academic writing skills. * Demonstrable ability to design rigorous experimental pipelines and validation methodologies. * Responsible, independent, and proactive research personality with strong teamwork skills. * Intercultural experience and readiness to work in an international research environment. * Fluency with AI co-pilot assistants for coding and writing. * Fluency in English, the primary language of research and instruction on campus. PREFERRED QUALIFICATIONS: * Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets. * Prior involvement in interdisciplinary or applied research projects. * Potential to contribute to competitive funding applications. * Experience with open-source releases or reproducible research pipelines. APPLICATION DETAILS * Starting date: September, 2026 * Contract: Full-time (100%), TV-L E13 * Work mode: Hybrid APPLICATION PACKAGE MUST INCLUDE:  * Curriculum Vitae (CV); * A detailed letter of motivation outlining research interests and career goals; * 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.