Postdoc in cardiovascular image processing and machine learning

Linköping University

Sweden

February 12, 2022

Description

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Health, Medicine and Caring Sciences (HMV) conducts teaching and research across a wide range of medical disciplines and is noted for its interdisciplinary profile. The aim of the department's operations is to provide relevant training against the backdrop of a rapidly evolving healthcare sector and a society in constant flux. HMV is located both in Linköping and Norrköping . Read more at: www. liu.se/en/organisation/liu/hmv

We are now looking to appoint a postdoc in the field of Postdoc in cardiovascular image processing and machine learning formally based at the Department of Health, Medicine and Caring Sciences

Work assignments The postdoc in this announcement will focus on collecting of image data and development of methods that support an efficient and effective analysis of the data for diagnosis and model building. The emphasis will be the use of high- resolution time-resolved spectral data of the heart that will be acquired using a novel photon-counting detector Computer Tomography (PCD-CT). Based on this data, time-varying data representing the heart anatomy, its dynamics, the blood flow, and myocardial strain will be obtained.

Responsibilities include development of methods for segmentation and analysis of PCD-CT data. Publication of the work in scientific journals is also included in the assignment.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

The workplace The position is connected to the Center for Medical Imaging and Visualization (CMIV, www. liu.se/cmiv). CMIV is an interdisciplinary research center within Linköping University that conducts focused front-line research in interdisciplinary projects that provide solutions to tomorrow's clinical questions. The interdisciplinary cardiovascular imaging research group within CMIV, conducts technical development and application of advanced magnetic resonance and computed tomography in the cardiovascular field. The group has access to 3 research magnetic cameras and 2 computer tomographs, one of which is a unique photon-counting computer tomograph.

This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people´s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more: https: // www. scilifelab.se/data-driven

Within the WASP-DDLS financed project “Huge Complex Diagnostic Imaging Data”, two postdoc will work jointly on a pipeline for the generation of personalized models from huge complex imaging data.

Qualifications The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

You have good knowledge in programming and image processing. Experience in imaging processing av medical images, and specific cardiovascular computed tomography images is an advantage. Knowledge in machine learning of medical images is a plus.

You have good English language skills both in terms of speech and writing, as we are multilingual within the research group. You have good communication skills and easy to collaborate with others.

About this job This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date By agreement.

Salary Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Trade union representatives Information about trade union contacts can be found here.

Application procedure Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University before February 7th 2022. Applications received after the deadline will not be considered.

Equal opportunities

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Tino Ebbers

Professor

+46 13 28 67 74

tino.ebbers@liu.se

Christine Ericsson

HR Partner

+46 13 28 66 97

christine.ericsson@liu.se

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