
Karolinska Institutet · Sweden
Postdoctoral studies in Experimental Systems Neuroscience - Stagkourakis Lab (scholarship) Do you want to contribute to top quality medical research? The Stagk...
Postdoctoral studies in Experimental Systems Neuroscience - Stagkourakis Lab (scholarship) Do you want to contribute to top
quality medical research? The Stagkourakis Lab is recruiting for a highly independent postdoctoral researcher that can integrate
within our existing team pursuing systems neuroscience projects. The lab is based at SciLifeLab (Sweden’s national center for
advanced life science infrastructure) and the Department of Neuroscience, Karolinska Institute. Our research focuses on the neural
control of survival and homeostatic behaviors (including aggression, fear, and feeding), using large-scale neural recordings,
advanced imaging, causal perturbations, and quantitative analysis in freely moving mice. For an overview of the lab’s research
program and publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise
(Required) This position is intended for candidates who can immediately operate at a high experimental level. Applicants must have
demonstrated, hands-on experience in at least one of the following core domains, and strong familiarity with the others: -
Stereotaxic surgery in mice, including viral injections and/or implantations. - Large-scale electrophysiology, preferably
Neuropixels or high-channel silicon probes, in vivo. - In vivo imaging, including miniscope and/or two-photon microscopy. - RNA
sequencing or spatial transcriptomics. Candidates without substantial practical experience in stereotaxic surgery combined with
neural recording or imaging will not be competitive for this position. Duties Research in our lab integrates a variety of
approaches, making us open to individuals from diverse backgrounds. A foundation in quantitative fields (e.g., mathematics,
engineering, computer science, physics) or prior experience in experimental techniques (e.g., molecular biology, high-channel
density silicon probe electrophysiology in vivo or in vitro, advanced animal behavior designs and analysis, miniscope or
two-photon imaging) is advantageous. Candidates are expected to demonstrate previous productivity, often by publications, but not
exclusively. A combination of at least some of the following skills is essential: - A high degree of independence - Ability to
construct/maintain and use complex experimental setups - Proficiency in “big” data analysis (using MATLAB or Python), or
Candidates with demonstrated expertise in at least one, but ideally more, of the following domains are invited to apply: - Design
of novel, custom behavioral paradigms in mice. - Use of hardware and (custom) software to interface and synchronize behavioral and
neural recording setups. - Familiarity with Arduino, Bonsai, DataJoint, and/or neural data recording platforms. - Assembly,
maintenance and use of complex electrophysiology or imaging systems. - Combination of behavior with large-scale neural recordings
using silicon probes, miniscope, or 2P imaging. - Ability to explore and analyze large datasets using modern machine learning
methods and a data-centered approach. - Previous participation in collaborative projects with computational or experimental
researchers. - scRNA sequencing. - Expertise in non-traditional animal models. Entry requirements Postdoctoral scholarships may be
established for foreign researchers who pursue their merit in Sweden. A foreign researcher is a person living in another country
who comes to Sweden with the intention of only staying in Sweden for all or part of their postdoctoral education at KI. Persons
who are resident in Sweden and/or have carried out all or part of their academic education at KI or some other educational
institution in Sweden cannot be considered for scholarships. The purpose of scholarships for postdoctoral qualification is to
promote internationalization and contribute to research qualification after a doctorate or equivalent. A scholarship for carrying
out postdoctoral research can be granted for a maximum of two years within a four-year period following the receipt of a doctoral
degree or equivalent. To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate, or a foreign
degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period
may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the
post-doctoral education. What do we offer? A creative and inspiring environment with wide-ranging expertise and interests.
Karolinska Institutet is one of the world's leading medical universities. Here, we conduct innovative medical research and provide
the largest range of biomedical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms
and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine
and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research.
Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important
for creating groundbreaking top quality education and research. Students and employees have free access to our modern gym
facilities with trained staff on site. What we provide The Stagkourakis Lab offers a highly ambitious and technically advanced
systems neuroscience environment, purpose-built for studying neural population dynamics and causal control of behavior in vivo.
Experimental infrastructure in the lab includes: - Large-scale in vivo electrophysiology, including Neuropixels and custom
high-channel silicon probes for brain-wide recordings in freely moving mice. - In vitro and in vivo imaging platforms, including
miniscope imaging and two-photon microscopy. - An SLM-enabled two-photon system allowing optical holography and patterned
photostimulation for causal, ensemble-level manipulation of neural activity. - Fully equipped stereotaxic surgery and viral
injection pipelines, including AAV-based circuit targeting. - Advanced behavioral setups for studying aggression, fear, feeding,
and other survival behaviors, with precise synchronization to neural and physiological recordings. Computational and analytical
support includes: - Established pipelines for handling large-scale neural and behavioral datasets. - Support for MATLAB- and
Python-based analysis, including population-level and data-driven approaches. - Close integration with computational collaborators
and SciLifeLab data science expertise. Training and mentorship: - Hands-on mentorship in experimental strategy, technical
execution, and troubleshooting. - Structured guidance in data analysis, figure generation, scientific writing, and grant
development - Opportunities to supervise students and contribute to building experimental and analytical pipelines Research
environment and support: - Access to world-class infrastructure and core facilities at Karolinska Institute and SciLifeLab,
including microscopy, sequencing, bioinformatics, and animal facilities. - Administrative and technical support enabling
researchers to focus on science. - Exposure to a vibrant international neuroscience community through seminars, collaborations,
and conferences. Our lab provides an environment for postdoctoral researchers who want to work at the technical frontier of
systems neuroscience, take ownership of ambitious projects, and build a strong trajectory toward scientific independence.
Location: Solna Type of scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six months
basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following
documents in English: - A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic
positions, academic title, current position, academic distinctions, and committee work - A complete list of publications - A
cover letter explaining your interest in working at our group. - A summary of current work (no more than one page) - Two or more
letters of reference. The application is to be submitted on the Varbi recruitment system. Applicants are encouraged to apply as
early as possible. Applications will be considered on a rolling basis. Want to make a difference? Join us and contribute to better
health for all
The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our research is carried out in close collaboration with external partners, both nationally and internationally, and contributes to knowledge development and innovation. Through our collaboration platforms, we bring together academia, the public sector and industry to jointly drive knowledge development and strengthen the relevance of research and education. Education at all levels is research-based and closely aligned with the needs of society and working life. Together, we contribute to sustainable societal development.The Faculty comprises three departments with a total of approximately 500 staff.The Department of Engineering Sciences brings together a large part of the University's Bachelor of Science in Engineering and Master of Science in Engineering programmes in fields such as energy engineering, mechanical engineering, robotics, building engineering, environmental engineering and industrial systems. The department conducts internationally recognised research focusing on future energy and industrial systems. Collaboration with industry and society is central to developing sustainable, resource-efficient and competitive solutions for the society of tomorrow. Employment information Employment: Temporary employment Period of employment/Start date: As agreed Scope: Full time Number of positions: 1 Closing date for application: 2026-08-09 Campus location: Eskilstuna School: Teknikvetenskap Position description The purpose of the position is to give the employee an early opportunity to develop his or her independence as a researcher and to create the conditions for further acquisitions of qualifications after completing the doctoral degree. The position is a temporary employment with a maximum period of 3 years. The position consists mainly of research in which the candidate is expected to independently plan and carry out scientific studies in the area of smart and portable automation. The position will be conducted within the framework of the research profile MARC (Mälardalen Research and Competence Centre for Future Manufacturing), which means that the work will take place in close collaboration with industry partners and other researchers within the profile. Within MARC, the research focuses on future sustainable and flexible production systems, where smart and portable automation plays a central role. The candidate is expected to contribute to the development of new methods, technologies, and prototypes for portable and reconfigurable automation, as well as explore how these solutions can be integrated into industrial environments with requirements for flexibility, quality, and resource efficiency. The work may include experimental research in laboratory and industrial settings, system development, analysis of production flows, and co-creation of knowledge together with company partners. As MARC is a collaborative profile with strong ties to regional companies, the candidate will also take part in project meetings, workshops, and joint activities where industrial relevance and implementability are key components. The postdoctoral position includes scientific writing of articles, dissemination, and oral presentation of research results. An important part of the dissemination work is active engagement in industrial applications in close collaboration with industrial partners. As a postdoctoral researcher, you are expected to take responsibility for independently planning and conducting your studies, take initiatives to develop your ideas and knowledge, and cooperate with others both within and outside academia. Teaching or other departmental duties may be included up to a maximum of 20%. As a postdoctoral researcher, you will also be part of the research group for Production Development, where you are expected to contribute to the development of the group. Qualification requirements The applicant is required to have a PhD degree in Production Engineering, Mechanical Engineering, Automation, Robotics, or another relevant technical field. The applicant must have completed the degree no more than three years before the end of the application period. You have not previously held a position as a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. The applicant is also required to have: Documented experience in experimental research, for example work conducted in laboratory, testbed, or industrial environments Experience with industrial robots, collaborative robots, or portable robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS, or equivalent Ability to work independently throughout the research process, including planning, execution, analysis, and reporting of scientific studies Ability to collaborate and interact with individuals at various levels both within and outside academia, such as students, colleagues, and industry representatives Excellent oral and written communication skills in English, including documented ability in scientific writing Assessment criteria For this position, special consideration will be given to: Knowledge of or experience with investment projects involving industrial robots, collaborative robots, or portable robotic platforms is considered a merit This advert is abridged. To see the full advert, please go to: https://www.mdu.se/om-mdu/jobba-med-oss/lediga-jobb #LI-DNI Application The application is to be completed online. Please submit your application by clicking on the "Apply" button below. The scientific publications that you do not have in digital form are to be sent by post to: Mälardalen University Division of Human Resources Ref.no: 2026/1967 Box 883 SE-721 23 Västerås, SWEDEN The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the university no later than closing date for application. We look forward to receiving your application! Union representatives: Saco-S mailto:saco-s@mdu.se Susanne Meijer ST-OFR/S, phone: +46 21-10 14 89 We decline all contact with recruiters and sellers of advertisements. We have made our strategic choices for this recruitment.
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.