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PhD student on Federated Learning in application for large-scale omics studies

  • Closing date 13-10-2022
  • 37.19.22.TG
  • 36 hours
  • Research university
  • Research & Education
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Questions? Contact our recruiter

  • Closing date 13-10-2022
  • 37.19.22.TG

Job description

Artificial Intelligence field has seen dramatic advances in the past few years with much excitement around the use of deep learning (DL), many-layered convolutional neural networks (CNN). The world has witnessed striking advances in the ability of machines to understand and manipulate data, including images, language, and speech. CNN showed ability to detect a complex pattern in high-dimensional data, but also are able to integrate data from various resources by having many input channels into neural network. Human genetics can benefit immensely from DL.

We have previously developed deep learning framework for omics analysis GenNet. However, the application of AI in genetics analysis is still quite limited. The main issue is the restriction for data sharing between cohorts and loss of power, compare to the pooled analysis. Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data.

The main goal of this project is to develop new federated learning framework for multi-center genetics analysis in close collaboration with NVIDIA company, which will be able to utilize machine learning approaches and increase power of gene discovery. We aim to apply these methods on large datasets from population-based Rotterdam studyUK Biobank as well as within world-wide genetic consortiums.

Work environment

Erasmus MC is dedicated to a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push through current boundaries and leading the way forward in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment. Our departments are known for their forefront research and facilities.

The candidate will be appointed jointly in the Departments of Radiology and Nuclear Medicine and Department of Epidemiology. You will be working in multidisciplinary team with experts in machine learning, deep learning, genomics and epidemiology. Research group has its own GPU cluster and access to the Amsterdam super-computer.

Qualifications and skills

We are seeking enthusiastic candidates with a strong motivation to engage in the development and application of advanced analytical methods, including artificial intelligence, to tackle this important societal and healthcare challenge. Successful candidates are expected to have a strong quantitative or computer science background, excel at critical thinking, and highly motivated to solve clinical and epidemiological problems.

  • The candidate should have an MSc degree in Mathematics, Computer Science, Statistics, Bioinformatics, Physics, Electrical Engineering, or in an equivalent discipline.
  • Experience with Python language.
  • Experience with machine learning and deep learning methods.
  • Experience in working with large datasets.
  • Knowledge or willingness to learn more about medical imaging, epidemiology and genetics.
  • Good communication and writing skills in English are required.
  • Ability to work, launch and embrace collaboration in a multidisciplinary setting.

Before you apply please check our conditions for employment.

Terms of employment

  • You will receive a temporary position for 4 years. The gross monthly salary is € 2.570 ,- in the 1st year and increases to € 3.271,- in the 4th year (scale OIO).
  • Excellent fringe benefits, such as a 13th month that is already paid out in November and an individual travel expense package.
  • Pension insurance with ABP, we take care of approximately 2/3 of the monthly contribution.
  • Special benefits, such as an incompany physiotherapist and bicycle repairer. There is also a gym where you can work on your fitness after work.

More information

For more information about this position, please contact Dr. Gennady Roshchupkin, Assistant Professor and Computational Population Biology group leader, e-mail: g.roshchupkin@erasmusmc.nl.

 

No agencies please.

Application proces

Step 1 - Apply

Did we get you excited about this position? Submit your application through the application button. You will receive a confirmation of receipt from our recruiter right away.

Step 2 - Selection

Based on your application, we check to see if there is a fit between us. We will let you know as soon as possible whether you are invited for an interview.

Step 3 - Interview

You have been invited for an interview, great! In this first meeting we get to know each other and see if You can form an idea of the position, the department and Erasmus MC. If the interview goes well usually a second interview follows.

Step 4 - Offer and terms

It’s a match! Your future manager will discuss your salary and employment with you. You will also receive more information about our other terms of employment.

Step 5 - Getting started

Your first working day has come! We are more than happy to have you. Your new department will give you a warm welcome and provide you with all the information you need. Enjoy your job at Erasmus MC!

Contact me

Jerry Chandansingh
Recruiter

Jerry Chandansingh
Erasmus MC

Pioneering, pushing boundaries and leading: in healthcare, education and research

Erasmus MC is an international leading academic hospital in Rotterdam. We are recognized as a world-class scientific research organization aiming to improve our understanding of diseases and disorders and helps to predict, treat and prevent them. We have access to the latest equipment and techniques. A working environment that gets the best out of people.

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