Research Engineer with Image Processing Experience

Lunds Universitet · plný úvazek

BMC F13, Lund, Švédsko

Lund University was founded in 1666 and is consistently ranked as one of the world's leading academic institutions. With approximately 46,000 students and 8,500 employees across Lund, Helsingborg, and Malmö, we are united in our mission to understand, explain, and improve our world and people's living conditions. Workplace Description InfraVis is Sweden's national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine different universities. CIPA is Lund University's local infrastructure for image processing and analysis. CIPA also serves as the coordinating unit for Lund University's InfraVis node, consisting of approximately 10 people with complementary expertise. InfraVis and CIPA offer all their experts various professional development opportunities and prioritize supporting each individual's development goals and well-being to the greatest extent possible. By working as an expert within InfraVis/CIPA with experience in image processing, image analysis, visualization, and development of user-friendly graphical interfaces (GUIs), you will have access to colleagues both locally and nationally for stimulating exchange, discussions, and collaborative work to solve complex problems, develop new methods, and find the best ways to support research across diverse scientific domains nationwide through visualization expertise. What We Offer Lund University is a state agency, which means you receive special benefits, generous vacation time, and a favorable occupational pension. We also have a flexible work hour agreement that provides good conditions for work-life balance. Learn more about working with us on the university's website Jobba hos oss. Duties and Responsibilities Your primary task will be to contribute as an expert to various research projects supported by InfraVis. To promote knowledge transfer and development of the research infrastructure and its experts, regular and active participation in various collaborative activities, including meetings, is required. The position offers opportunities for career and professional development of both a general and specific nature. Work will focus on image processing and visualization of images and volumes. The work may encompass one or more of the following areas: Image processing and analysis of tomographic data, such as synchrotron X-ray microtomography or laboratory-based X-ray microtomography. Development of scientific visualizations. Development of user-friendly graphical interfaces (GUIs) with the capability to perform image processing, image analysis, and visualization. Qualifications We are looking for an experienced and motivated person who is easy to work with and thrives in a complex research environment. Requirements for employment: A doctoral degree or equivalent experience in a subject relevant to the position—for example, in natural sciences or engineering. Additional requirements: Excellent spoken and written English skills. Experience in image processing and analysis of images or volumes, e.g., in ImageJ/Fiji, Python. Experience with visualization software, e.g., Blender, DragonFly. Knowledge of programming, e.g., in Python. Experience developing user-friendly graphical interfaces (GUIs). High motivation with the ability to initiate and quickly master new technologies, plus excellent work and time management skills. Strong collaboration and communication skills. Meritorious for employment: Proven experience collaborating with various stakeholders (researchers from different scientific domains). Consideration will also be given to how your experience and competence complement and strengthen ongoing activities within the infrastructure and how this can contribute to its future development. Other Information We are seeking a research engineer for a fixed-term position of 3 months at 100% employment. Desired start date is 2026-10-01 or by agreement. How to Apply Applications are submitted through the university's recruitment system. Your application should include a cover letter explaining your interest in the position and how the role matches your qualifications and ambitions. Your application should also include a CV, diplomas or equivalents, contact information (phone number) for at least two references, and any other information you wish to provide (reference letters, recommendation letters, etc.). More Information about the Faculty of Medicine The Faculty of Medicine is an operational area within Lund University, responsible for education and research in medicine, healthcare, and health. Education is conducted in close collaboration with healthcare services and is well-grounded in the faculty's strong research tradition. The faculty's research spans a broad spectrum from experimental basic research, patient-related clinical research, and health science research. The Faculty of Medicine, with over 1,800 employees and 3,000 students in Lund, Malmö, and Helsingborg, is a knowledge-intensive meeting place for students, teachers, and researchers from around the world. Please note that we decline all inquiries from advertising sales representatives, recruitment agencies, and staffing companies due to government procurement regulations.