瑞典哥德堡大学博士后—心血管人工智能

瑞典哥德堡大学博士后—心血管人工智能

哥德堡大学（瑞典文：Göteborgs universitet；拉丁文：Universitas Gothoburgensis；英文：University of Gothenburg）简称GU，成立于1891年，坐落于瑞典王国第二大城市、北欧工业中心哥德堡，是一所综合性研究型大学，中欧商校联盟、Mirai、欧洲大学协会成员。

作为瑞典第三古老的大学和开设专业最广的大学之一，哥德堡大学一共有8个学院57个学科，其商学院是全球少于1%同时获得EQUIS、AACSB、AMBA三大商科权威认证的顶级商学院之一，被誉为三皇冠认证。

哥德堡大学位列2022QS世界大学排名第180位；2021泰晤士高等教育世界大学排名第191位；2021U.S. NEWS世界大学排名第135位；2021软科世界大学学术排名第101-150位。

Postdoctor In Cardiovascular Artificial Intelligence

Göteborg University

The University of Gothenburg tackles society's challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Department of Molecular and Clinical Medicine, at the Institute of Medicine, conducts translational research primarily on metabolism, diabetes, obesity and cardiovascular disease in order to improve health and healthcare in the community. The overall goal is to create an excellent translational research environment of a very high international standard.

For a research group at the Department, we are looking for two qualified postdoctoral researchers with experience in machine learning (deep learning), handling imaging data and Python. Our research group consists of approximately 10 persons and includes PhD-students, physicians, senior researchers, and biomedical analysts. We use modern analytical methods and randomized experiments to conduct translational research that can benefit patients quickly. As a postdoc in our group, you will be leading the technical effort to create machine learning models that predict sudden cardiac death and severity of coronary artery disease using imaging data. You will be working with some of the world's largest databases in the field and in a team with vast experience. The research group has a large international collaborative network and is aiming to become a leading group in research related to cardiac arrest and coronary artery disease.

Subject area

Cardiovascular artificial intelligence.

Subject area description

Development, validation and deployment of clinical tools based on machine learning and randomized experiments.

Duties

The postdoctoral researcher will be responsible for modeling complex clinical data, discovering novel methods to predict cardiac arrest and coronary blood flow using imaging data. The work includes collaboration with colleagues in various disciplines, for example clinicians and engineers. Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.

Duties

Lead the effort to unravel novel methods to predict cardiac arrest, quantify coronary blood flow, and create non-invasive calculations of blood flow.

Lead an effort to establish a scalable data science environment to handle this type of data.

Design the Extract, Transform, Load (ETL) processes to gather information from relevant databases.

Maintain documentation and training materials.

Participate in discussions with other users, including clinicians, clinical researchers, and administrators.

Eligibility

To qualify as a postdoctoral researcher the applicant should hold a PhD in a relevant subject. Since postdoctoral constitutes a qualifying appointment for junior researchers, we aim to target those who have a doctoral degree not older than 3 years.

Assessment criteria

Requirements

Advanced analytical skills, knowledge of integrating and processing large, multimodal databases and managing a computational environment are required.

PhD in machine learning or other relevant areas to the position is required. Expert-level knowledge in Python is required, as is knowledge in PyTorch, TensorFlow or similar. Emphasis will also be placed on ability to collaborate in cross-professional groups and taking initiatives. Good knowledge in english, both speaking and writing, is a requirement. Great emphasis will be placed on personal suitability.

Employment

Type of employment: Fixed-term employment, 24 months Extent: 100 % Location: Institute of Medicine, Gothenburg First day of employment: According to agreement.

Contact information

ArazRawshani, Researcher, +46(0)768762685, araz.rawshani@gu.se

Malin Levin, Head of Department, malin.levin@wlab.gu.se

Unions

Union representatives at the University of Gothenburg can be found here:  https: // www. gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande

Information for International Applicants

Visit the webpage Join us - jobs and career for more information on the Institute of Medicine and what opportunities we have for you. Discover our world-class research and research infrastructure, as well as what the benefits are for you and your family.

Application

Please attach PhD certificate with the application, if the PhD certificate has not yet been issued, it needs to be attached latest at the time when the employment decision is to be made.

Submit your application via the University of Gothenburg's recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline.

Applications must be received by: 2023-04-06.

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