Career

We welcome applications for:

PhD Position in Deep Learning for Retinal Imaging: Precision profiling of coronary heart disease risk

OPTIMA group (https://optima.meduniwien.ac.at) is offering a fully-funded PhD position in the domain of Machine Learning for Medical Imaging with applications in public health, bringing together retinal imaging and heart disease. The eye offers a unique window into human body and cardiovascular system. As part of our newly funded project, MeyeHeart: Retinomics for precision profiling of coronary heart disease risk, you will search for retinal vascular fingerprints that can serve as a biometric of a person’s risk of coronary heart disease. Deep learning methodologies will be developed that integrate the high-quality multimodal retinal imaging data and health records, to enable a non-invasive and accessible screening of heart condition by a retinal scan.

The successful candidate will be immersed in an interdisciplinary environment working closely with a team of computer scientists working on deep learning, and clinicians with expertise in cardiology, ophthalmology, and retinal imaging. Advancements will have a real-world impact on early identification of patients suffering from coronary heart disease, a leading cause of death today.

Your profile
• MSc degree or equivalent in AI, computer science or related discipline
• Excellent analytical, interpersonal, as well as written and oral communication skills in English.
• Strong programming (Python, PyTorch, TensorFlow, etc.) and applied math skills
• Experience in machine/deep learning and statistics
• Experience in computer vision, biomedical imaging, medical image analysis, or a related discipline is desirable

We offer
• Access to large multi-modal, curated and annotated medical imaging datasets.
• Access to a dedicated high-performance computing cluster containing the latest generation GPUs.
• Opportunity to work in machine and deep learning for medicine and healthcare, in an interdisciplinary environment.

Application
Please apply via our centralized application portal (https://oc.meduniwien.ac.at/en/phd) until November 20th 2022!

Postdoc in Machine Learning for Medical Image Analysis (full time)

We are seeking exceptionally motivated postdocs to strengthen our interdisciplinary team working on machine learning for medical image analysis. As part of our new initiative on Artificial Intelligence in Retina you will be leading exciting projects, at the interface of machine learning and medicine (see our recent review paper). The focus of the research is on automated characterization of retinal pathology from 3D optical coherence tomography (OCT) images of human retina, and on learning to predict patient-specific disease progression from a very large-scale curated imaging data and electronic health records. The goal is to enable an effective AI-based clinical decision support for retinal specialist, in a close collaboration with a leading OCT device manufacturer.

The successful candidate will be immersed into an interdisciplinary environment working closely with a team of computer scientists, software engineers and medical doctors. Advancements will have a real world impact on clinical management of patients suffering from retinal diseases, a leading cause of blindness today

Your profile:

  • PhD degree (or soon to be completed) in a relevant discipline
  • Strong background in machine and deep learning, medical image analysis or computer vision
  • Ability to organize his/her work with minimal supervision and to meet deadlines of the project
  • Relevant publication record in the field
  • Excellent programming skills (Python, Julia, PyTorch, etc.)
  • Excellent analytical, interpersonal, as well as written and oral communication skills in English are essential

Application:

  • Your cover letter with a summary of your previous and present scientific activities and your motivations
  • CV
  • The 2 most significant publications
  • Contact information of three references

The position is opened immediately until filled, early applications will be given priority.

Please send applications to: hrvoje.bogunovic (at) meduniwien.ac.at

Female candidates are explicitly encouraged to apply!

PhD student in Medical Image Computing with Deep Learning

We are offering a fully funded PhD position it the domain of Machine Learning for Medical Imaging. The focus of the research project is on learning and predicting patient-specific disease progression and treatment response from in-vivo imaging (longitudinal series of 3D optical coherence tomography (OCT) images) and non-imaging data (e.g., clinical reports) using deep learning methods. These data-driven disease-progression models allow to assess individualized risk and prognosis of retinal disease. Examples of our prior work: https://tinyurl.com/pbkjyv40, https://tinyurl.com/2xwhjv3k, https://arxiv.org/abs/1703.05921, https://arxiv.org/abs/1906.07679, https://bit.ly/2Q3HA0t.

The successful candidate will be immersed into an interdisciplinary environment working closely with a team of computer scientists, software engineers and medical doctors in the field of AI in Retina (see our recent review paper: https://bit.ly/2MREzTd). Advancements will have a real world impact on clinical management of patients suffering from retinal diseases, a leading cause of blindness today.

Your qualifications:

  • MSc degree or equivalent in computer science or another relevant discipline
  • Experience in machine/deep learning, computer vision, medical image analysis, statistics, biomedical imaging or a related discipline
  • Strong programming (Python, R, Julia, PyTorch, etc.) and applied math skills
  • Excellent analytical, interpersonal, as well as written and oral communication skills in English.   

Our offer:

  • You will be immersed into an interdisciplinary environment working closely with a team of computer scientists, software engineers and medical experts.
  • You will have the opportunity to work in the promising and currently exploding fields of machine learning (i.e. deep learning), data science and medical image computing.
  • Access to extremely large sets of curated and annotated ophthalmic images.
  • The lab is well-equipped with a dedicated high-performance computing cluster containing the latest generation GPUs.
  • The group keeps close collaboration with several high-performance academic research institutions, as well as partnership with imaging device and pharmaceutical companies.

The OPTIMA lab is a world-leading group in ophthalmic image analysis part of the Medical University of Vienna which is an international center of excellence and one of the largest research institutions in Europe located at the heart of historic Vienna. Vienna was recently been named the world’s most liveable city for the tenth year running.

The position is opened immediately until filled, early applications will be given priority.

Please send applications including a CV and a cover letter indicating your interests and research experience, and/or any inquiries to: hrvoje.bogunovic (at) meduniwien.ac.at

Female candidates are explicitly encouraged to apply!