Machine Learning Engineer (f/m/x)

  • Universitätsklinikum Köln AöR
  • 50937 Köln, Germany
  • 25/05/2022
Full time Data Science Machine Learning Artificial Intelligence Statistics Biostatistics

Job Description

Job Description

employment type
full time

Full job description

as soon as possible
full-time; limited until December 31, 2024, as part of a third-party funded project
Your salary will be based on TV-L
» Your tasks
You work on research projects in the field of advanced oncologic imaging using deep learning techniques, with a focus on patients receiving immune checkpoint inhibitor therapy
You develop new and adjust existing publicly available deep learning models and data integration frameworks, facilitating multimodality data analysis
You work in a vibrant and engaging research environment comprising clinician scientists from radiology and oncology, data scientists from the Institute for Diagnostic and Interventional Radiology and machine learning specialists from the Institute for Medical Informatics
You contribute to research publications targeting high impact oncology journals as well as follow-up grant applications
» Your Profile
A scientist with a PhD in computer science, biomedical engineering, medical physics or related fields with a research focus on deep learning models and medical image analysis, ideally with previous experience in projects related to oncology
Excellent academic track record with a focus on biomedical image processing/medical image computing, deep learning, machine learning
Programming skills with Python, C/C++, Matlab
Advanced knowledge in DL packages such as TensorFlow, Keras, PyTorch
Statistical background including R is favorable
Outstanding team work capabilities
Motivation to push forward ambitious, large-scale research projects
Fluent in English and ideally in German
» Our Offer
Attractive scientific environment comprising one of the leading oncology clinics of the country
Working in a multidisciplinary, exciting team including radiologists, oncologists and data scientists
Close collaboration with other international institutions
Extensive opportunities for academic career development and potential to qualify for leadership positions in the field of machine learning at our Institution
Friendly, open-minded and vibrant working atmosphere in a dynamic and ambitious Institute
In-house childcare facility
Options for deferred compensation and pension scheme
» Your future with us
Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 59 clinics and institutes as well as numerous other departments and facilities and more than 10,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.
» Your future in detail
Immunotherapy is a revolutionary cancer treatment, which helped drastically improve outcome for different cancers in advanced disease stages in recent years. The University Hospital of Cologne is one of the leading hospitals in Europe in terms of immunotherapy treatment. Your perspective is to join a highly innovative, publicly funded project aiming to improve response assessment and prediction of therapy outcome in patients who receive immunotherapy based on a large-scale, multimodality clinical database. Your work will allow for deep learning model development and integration of different data types, enabling cutting-edge insights for this exciting and clinically relevant research field.
Further information is available on the internet here.
Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance.
People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification.
The position is suitable for staffing with part-time employees.
Contact:
Dr. Simon Lennartz
+49 221 478-77880
https://www.uk-koeln.de
Application deadline: 19.06.2022
Postal address:
Universitätsklinikum Köln AöR
PA27
Geschäftsbereich Personal