University of Huddersfield

POSTDOCTORAL RESEARCHER IN FUNCTIONAL COMMUNITY ECOLOGY / META-ECOSYSTEMS The Ecological Synthesis Group (ESG), led by University Researcher Dr. Caio Graco-Roza, invites applications for a Postdoctoral Researcher to join the research group at the Lammi Biological Station, University of Helsinki, Finland. The position will start at the earliest in March 2026, or as agreed. The postdoctoral researcher will be offered a full-time fixed-term contract for two years. A trial period of six months will apply. Position description Biodiversity loss and ecosystem degradation are increasingly shaped by interactions across ecosystem boundaries, yet the mechanisms linking terrestrial and aquatic communities remain poorly understood. This postdoctoral position is part of the TRACE – Trait Responses Across Connected Ecosystems project (2025–2028), funded by the Research Council of Finland. The TRACE project investigates how functional traits related to tolerance, movement, and interaction structure communities across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate across blue–green boundaries and shape biodiversity patterns at local to regional scales. The postdoctoral researcher will play a central role in the project, contributing to data synthesis, statistical analyses, and manuscript writing, while also participating in field-based experiments and supervision of students. Research will be conducted primarily at the Lammi Biological Station, the largest university research station in Finland, located approximately 100 km from the University of Helsinki main campus. The station provides exceptional access to long-term study lakes, well-equipped laboratories, experimental infrastructure, and a vibrant international research community, offering a highly collaborative and scientifically stimulating working environment. Main tasks and responsibilities The postdoctoral researcher will: Lead and contribute to trait-based and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical and multivariate analytical approaches to analyse complex ecological data Contribute to the integration and synthesis of experimental and observational datasets Take a leading role in writing high-quality peer-reviewed publications Participate in and help coordinate field campaigns and experiments in forest–lake systems Co-supervise MSc students and interns, and contribute to mentoring within the research group Actively engage in national and international collaborations linked to the TRACE project The exact balance between analysis, fieldwork, and supervision can be adapted to the postdoctoral researcher’s expertise and interests. Requirements Applicants should hold a PhD degree in ecology, biology, aquatic ecology, environmental sciences, biogeography, or a closely related field by the start of the appointment. The successful candidate is expected to have: A strong background in community ecology, functional traits, and/or biodiversity research Solid experience with statistical data analysis and reproducible research workflows Proficiency in R for ecological data analysis Demonstrated ability to publish scientific research in international peer-reviewed journals Good communication skills in spoken and written English Willingness to work in a field-based research environment in Lammi, Finland What we offer A full-time postdoctoral position for two years A stimulating and supportive research environment at the Lammi Biological Station Competitive salary based on the Finnish university salary system (typically job demands level 4–5, depending on experience) Flexible working hours and good work–life balance Access to excellent research infrastructure, field sites, and analytical support Occupational health care, sports facilities, and staff development services Support with residence permits, if applicable Collaborative and international research environment The postdoctoral researcher will join a lively international research network associated with the TRACE project and the Lammi Biological Station. The project is embedded in an active collaboration network including Florian Altermatt (Eawag / University of Zurich), Helmut Hillebrand (University of Oldenburg), Martin Gossner (WSL, Switzerland), and Sabina Burrascano (Sapienza University of Rome), among others. In addition, the project benefits from strong national collaborations within Finland, providing complementary expertise in aquatic ecology, forest ecology, and biodiversity monitoring. Together, these international and national partnerships offer concrete opportunities for joint analyses, co-authored publications, and research visits, depending on the postdoctoral researcher’s interests and the direction of the project. How to apply Please submit your application in English, including: A cover letter describing your research background, interests, and motivation (max 1–2 pages) A CV, including publication list Contact information for 2–3 referees (letters requested later) Applications should be submitted via the University of Helsinki electronic recruitment system. The position will remain open until February 10th, or until a suitable candidate is found. Further information For informal inquiries, please contact: Dr. Caio Graco-Roza University of Helsinki, Lammi Biological Station Email: caio.roza@helsinki.fi

Department: Department of Natural Drugs – Faculty of Pharmacy Deadline: 12 Feb 2026 Start date: 1. 3. 2026 Job type: part-time Job field: Pharmacy | Science and research | Education and schooling The Dean of the Faculty of Pharmacy, Masaryk University announced a selection procedure for filling the position of: ASSOCIATE PROFESSOR (academic position) Department: Department of Natural Drugs, Faculty of Pharmacy, Masaryk University Position type: Academic position EU Researcher Profile: R3 Working time: by agreement Type of employment: Fixed-term employment contract (1 year) Expected start date: 1. 3. 2026 Number of positions: 1 Application deadline: 12. 2. 2026 The Department of Natural Drugs is seeking a colleague for the position of Associate Professor with a specialization in pharmacognosy. MAIN RESPONSIBILITIES Teaching Creative application of research results in teaching activities, particularly in supervising students in doctoral or master’s degree programmes. Delivery of lectures or other forms of teaching, primarily in master’s or doctoral programmes. Supervision and examination of master’s theses and doctoral dissertations. Acting as a guarantor of a study programme and/or as a member of a doctoral programme advisory board. Participation in committees for doctoral state examinations and doctoral dissertation defences; membership in committees for final state examinations or rigorous examinations. Serving as an external examiner of doctoral or habilitation theses or participation in habilitation or professorial appointment committees. Contribution to publication activities for educational purposes. Research Conducting basic or applied research of fundamental importance for discipline and publishing the results in peer-reviewed journals or academic monographs. Active participation in national and international scientific conferences and professional meetings and presentation of research results. Review and expert evaluation activities at the national level in the assessment of research projects within the relevant field. Other Responsibilities Participation in operational and administrative activities related to the academic position according to the instructions of the head of department, including for example: Routine administrative tasks related to the management of own courses, use of e-learning tools, and communication with students via the Masaryk University Information System. Organization of and participation in international mobility programmes for students and academic staff. Contribution to the promotion of the field. REQUIREMENTS Education, Qualifications and Experience Appointment as Associate Professor Specialization in pharmacognosy - required International publications and successful experience in grant-funded research projects Minimum of 10 years of professional experience – required Language Skills English language proficiency at C1/C2 level Excellent command of Czech, both spoken and written Job-related Competencies Advanced presentation, organizational teaching and mentoring skills Ability to transfer research results into teaching practice Ability to independently manage and lead research projects of fundamental importance for the field Ability to conduct independent scholarly publication activities Ability to present research results to the international academic community and the general public Precision, responsibility, reliability Additional Advantages Experience in a university environment Previous experience in the field of education WE OFFER Working Environment Employment at a prestigious institution holding the HR Excellence in Research Award Stable employment environment Access to interesting projects Friendly and inspiring workplace Advantageous location at University Campus Bohunice- – moving during year 2026 Supportive approach to work–life balance Employee Benefits 8 weeks of annual leave Flexible working hours with the possibility of partial remote work Meal allowance paid in salary or subsidies for university canteens Contribution to pension savings or childcare fees Selected vaccinations free of charge Discounted Vodafone mobile tariffs MultiSport card Sports classes organized by the Faculty of Sports Studies Elánek childcare group for employees’ children located close to the faculty Education and Professional Development Opportunities for further education and professional development (e.g. language and other courses offered by Masaryk University) Access to Masaryk University libraries Opportunities for international fellowships and research stays Participation in conferences and other scholarly events HOW TO APPLY Please submit your application via the online application system by 12. February 2026 (use the link in the Electronic Application section below) and upload all required documents. Required documents: Cover letter Structured CV including an overview of professional experience Copies of documents proving the achieved education Overview of research and publication activities In accordance with Section 70(5) of Act No. 111/1998 Coll., on Higher Education Institutions, as amended, the CV must include information on current employers. After successful submission of your application, you will receive an automatic confirmation by e-mail. Following the application deadline, you will be informed about the next steps of the selection procedure. For further information, please contact the Faculty of Pharmacy HR Department: Mgr. Karolína Macharáčková Email: macharackovak@pharm.muni.cz Mobile: +420 770 382 921

The logic and learning (LOL) group is recruiting a postdoc partly funded by the ARC Prize Foundation. You will work with Associate Professor Andrew Cropper. We work on combining logical reasoning and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program synthesis methods for the Abstraction and Reasoning Corpus (ARC) challenge. ARC is a benchmark designed to measure an AI system's ability to efficiently acquire new skills outside its training data. The focus is specifically on ARC-AGI-3, where systems must learn rules by interacting with their environment. The research will build on our IJCAI 2025 paper, where we showed that an off-the-shelf ILP system using raw pixels, only arithmetic, and a single CPU could perform reasonably well on ARC-1.  A start date before September 2026 is ideal but is flexible. The application deadline is February 5, 2026 (at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in SAT/ASP/SMT/MaxSAT is essential Any experience in model counting and a broader understanding of machine learning is also highly desirable Excellent English skills We offer The opportunity to do fundamental research and supervise students A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions 3-year full-time contract A starting salary of 3800-4150 euros/month depending on the appointees’ qualifications and experience Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance Application instructions Applications shall be submitted through the University of Helsinki´s recruitment system and include the following documents: CV  A motivation letter (max 2 pages) Contact information of two referees to provide reference letters upon request  External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position and the logic and learning (LOL) group, please contact Associate Professor Andrew Cropper (andrew.cropper@helsinki.fi). With technical questions related to the recruitment system, please contact recruitment@helsinki.fi.  *** The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.