Lediga jobb Contextvision AB i Linköping

??ContextVision is a medtech company specializing in image analysis and artificial intelligence. Their cutting-edge technology helps clinicians accurately interpret medical images, a crucial foundation for better diagnosis and treatment.
ContextVision has been a pioneer in medical imaging for over 30 years and is a leading provider of image enhancement software to manufacturers of ultrasound, X-ray, and MRI equipment on a global level. The company has offices in Stockholm, Linköping, and local representation in the U.S., Europe, Japan, China, and South Korea. The company is listed on the Oslo Stock Exchange.
ContextVision is now looking for a Research Scientist to join their R&D team in Linköping. In this role, you will be working on innovation topics in research and pre-studies to lay the foundation for future ultrasound development. As part of ContextVision’s ambition to grow, exploring new areas within the ultrasound imaging chain will be a key strategic direction. With strong technology foundation in image/signal processing and machine learning, we are building concepts around “Acquisition Intelligence” to pave the way for the ultrasound of the future. You will have the opportunity to work in an agile environment with diverse areas of expertise, where there is a strong commitment to achieving the company’s common goals together.
As a Research Scientist, your responsibilities will include developing algorithm prototypes for integration into ultrasound imaging pipelines. Additionally, you will contribute to the knowledge accumulation and sharing of ultrasound technology within the R&D team and across the company.
You will have an important role in defining and refining innovation concepts. This involves understanding customer and user needs, assessing technical feasibility, and evaluating market potential. You will collaborate closely with the CTO, Product Managers and other cross-functional entities to define value propositions for new business ideas. Your key contribution will be bringing in the technical perspective and execution on technical feasibility and prototypes. You will have the opportunity to collaborate with external academic institutions, industrial partners, and customers on joint innovation projects. In your work, you will have access to ultrasound research machines and compute clusters for machine learning training and simulation.
The ideal candidate has an innovative mindset, a high analytical capacity, and a passion for problem-solving. We are seeking individuals with a university degree at MSc or PhD level, preferably in an electrical engineering-related topic, with experience in ultrasound image formation, image/signal processing, and machine learning.
We believe you have
Solid experience working within medical ultrasound image formation preferably with machine learning
Programming skills within Python, Julia or similar high-level language
Experience in working with agile methodologies
Very good verbal and written communication skills, in English Visa mindre

ContextVision is a global market leader in image processing and analysis. Our products are integrated in a large number of medical devices globally. Our technology is based on 30+ years of research and experience combined with the latest advances in artificial intelligence built on deep learning.
We are now seeking a Research Scientist to join our R&D team. As a member of the R&D team you will develop image processing and image analysis algorithms together with application specialists and clinical experts. You may work in a product development project or in a research collaboration, often with international partners. There will from time to time be opportunities to publish your research.
The ideal candidate has a curious mindset, a high intellectual capacity and a passion for problem solving. We look for experience in image processing and/or machine learning applications, provided either from an academic career (PhD level) or by a relevant course curriculum combined with project examples (MSc level). We value the scientific method of formulating and testing hypotheses, and iteratively working towards increased knowledge in projects. This requires exploration, innovation but also planning and a structured way of working with your team members. The work is data driven: Understanding and managing data is an important part of your work in designing algorithms and training models, as well as properly evaluating the results. The output of your work will lead to products to be used in clinical routine to support diagnosis of patients. Therefore, properly managing traceability of experiments, source code and data is also important for reaching product level quality related to medical device regulations.
We work in an agile setting, in both cross-disciplinary and specialized teams. We value open communication between all stakeholders, transparency of each team’s progress, and commitment to the team’s common goal.
Knowledge in the following fields/topics is relevant for the position:
· Image processing
· Machine learning
· Mathematics and statistics
· Programming (Python, Julia, Git)
· Computer science
· Deep learning applications on image data
· Medical imaging modalities (Ultrasound, X-ray, etc.)
· Digital pathology
· Healthcare
· Agile development methods
· Development under medical device regulations
· Industrial scale software development
· Verification and validation of algorithms
· Open source development or other interest-driven software development
We offer
• A flexible work environment
• Highly competent and nice colleagues of many nationalities
• An opportunity to contribute to better healthcare globally
• Projects using cutting-edge technology
• Generous skills development opportunities
• Interactions with international customers and partners
• A family-friendly Swedish work-life balance
International applications are welcome. To learn more about why Sweden is a great place to work and live in, see e.g. www.sweden.se.
In this recruitment process ContextVision is collaborating with Sibling Recruitment. To apply for the position contact Sam Noble, +44 203 865 7392, [email protected], or visit our webpage. Visa mindre