PhD Position in Deep Learning for Medical Imaging

12 Jan 2024
Job Information

Organisation/Company

Medical University of Vienna

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Country

Austria

Application Deadline

11 Feb 2024 - 23:55 (Europe/Vienna)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The OPTIMA lab (https://optima.meduniwien.ac.at ) is offering a PhD position in the domain of Machine Learning for Medical Imaging with applications in eye care. As part of our initiative on Artificial Intelligence (AI) in Retina, the focus of the research is on building robust, reliable, and interpretable characterization of retinal pathology from 3D optical coherence tomography (OCT) images of the human eye to enable Trustworthy AI-based clinical decision support tools for retinal experts.

Research topics will be in one of the following areas: Self-supervised learning and foundation models, Uncertainty quantification and Bayesian deep learning, and Domain adaptation. The successful candidate will be immersed in an interdisciplinary environment working closely with a team of computer scientists, software engineers, and medical doctors in the fascinating field of AI in Retina. The output will have a real-world impact on the clinical management of patients suffering from retinal diseases, a leading cause of blindness today.

Representative examples of our prior work:
https://arxiv.org/abs/2307.03008 , https://arxiv.org/abs/2207.00458 ,
https://arxiv.org/abs/2308.09331v2 , https://arxiv.org/abs/2211.04234

The OPTIMA lab is a world-leading group in AI for retinal image analysis, based at the Medical University of Vienna, which is one of Europe’s premier institutions for biomedical and clinical research. The lab is located at the heart of historic Vienna, which has been named the World's Most Liveable City numerous times in a row.

Your profile

• MSc degree or equivalent in AI, computer science,  biomedical engineering, physics, or similar
• Excellent analytical, interpersonal, as well as written and oral communication skills in English.
• Strong programming (Python, PyTorch, JAX, TensorFlow, etc.) and applied math skills
• Experience in machine/deep learning and statistics. Experience in computer vision, (bio)medical imaging is desirable but not a requirement.
• Enthusiasm about the applications of AI in medicine.

We offer

• Opportunity to work and do cutting-edge research in deep learning for medicine and healthcare.
• Immersion into an interdisciplinary and international research environment, and a multi-cultural lab.
• Access to extremely large multi-modal, curated, and annotated medical imaging datasets.
• Access to a dedicated high-performance computing (HPC) cluster containing the latest generation GPUs.
• Collaboration with several renowned academic institutions, as well as partnership with imaging device and pharmaceutical companies.

Application 
Applicants interested in machine learning for healthcare should send applications (ideally as a single PDF document) to [email protected]  with:

• Cover letter (max 2 pages) indicating your interests and experience
• CV
• Academic transcripts
• Contact details of two references

Requirements

Research Field

Computer science

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

Health and Social Insurance

Eligibility criteria

MSc in computer science, data science, physics, biomedical engineering, or equivalent

Selection process

The first selection is based on a CV, transcripts, and cover letter. Followed by a two-stage interview process with OPTIMA team members.

Additional comments

Salary is prescribed by the university wage agreement.
We are a diverse lab and encourage applications from candidates of different backgrounds, genders, ethnicities, religions, sexual orientations, and age groups.

Work Location(s)

Number of offers available

1

Company/Institute

Medical University of Vienna

Country

Austria

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Vienna

Website

http://optima.meduniwien.ac.at

Street

Spitalgasse 23

Postal Code

1090

E-Mail

[email protected]

STATUS: EXPIRED