Deep Learning Internship (6 months) - London
As one of the most innovative and influential players in medical technology, we’re offering an ambitious student intern the chance to join Siemens Healthineers and help shape the future of healthcare. Based at Kings College London, this 6-month internship will be working on deep learning for 3D abdominal image registration.
Now’s our time to inspire the future of healthcare together.
Siemens
Healthineers develops innovations that support better patient outcomes with
greater efficiencies, giving providers the confidence, they need to meet the
clinical, operational and financial challenges of a changing healthcare landscape. Join our team now at Siemens Healthineers as a student intern in the UK.
The opportunity:
As of 2017, cancer is the second deadliest non-communicable disease (NCD) around the world after cardiovascular disease and before chronic respiratory disease and diabetes. Liver cancer is the fourth deadliest cancer in the world and its overall death rate has more than doubled from 1980 to 2016 in the United States [Naghavi et al. The Lancet, 2017]. Medical imaging can be used for liver cancer detection, diagnosis, and planning of treatments such as resection or thermal ablation. To investigate disease progression, or for accurate treatment planning, there is widespread interest in accurately fusing the information in the different images of the same patient and this can be achieved with image registration. Image registration is the process of transforming different images into one common coordinate system. In the case of abdominal images, registration algorithms have to deal with large deformation that can be due, for example, to the breathing motion or the interaction with a surgical device in the case of resection. Moreover, the liver can exhibit a highly different radiological presentation if the two images are acquired before and after surgery or thermal ablation.
The goal of this internship is to develop a robust and fast registration method
for abdomen images. To achieve this, novel approaches such as combination of
state-of-the-art machine learning techniques will be explored. A thorough
evaluation of the method is an essential part of the project and will involve
large real-world datasets.
This is a role well suited to an ambitious professional, looking for the next step in their career. As a student intern working on deep learning for 3D abdominal image registration, you will be responsible for:
- Research, design, and implement machine learning algorithms for 3D image registration
- Advance the state-of-the-art, including generating patents and top publications
- Work on large-scale, real-world problems, be entrepreneurial in an environment that’s more startup than big company
This position may suit you best if you are familiar with what is below
and would like to develop your career with
Healthineers.
- Current graduate students in Computer Science, Electrical Engineering, Applied Mathematics, Engineering or related disciplines for research interns
- Experience with machine learning libraries such as PyTorch, TensorFlow, Keras
- Familiarity with image processing in Python and C++
- Hands-on coding skills and ability to quickly prototype in Python.
- Knowledge of systems for software version control (SVN, Git) and software build (CMake) is a plus
- Strong collaboration skills and ability to thrive in a fast-paced environment
Required skills to have for the success of this role:
- Strong theoretical and practical background in machine learning and in particular deep learning
- Strong written and verbal communication skills in English is required
- Excellent interpersonal skills and a can-do attitude
- A competitive internship salary
- 26 days annual holiday (pro-rata)
- Corporate Social Responsibility opportunities including one paid volunteering day
- Access to our flexible benefits from private medical insurance to gym memberships
- Generous pension contributions
- Support from our 24/7 employee assistance programme
About Siemens Healthineers:
Siemens Healthineers is a leading medical technology company with a 170-year legacy of first-to-market technologies and product innovations. Passionately driven by empowering healthcare providers to better help their patients, our technologies touch an estimated 5 million patients globally every day. We are committed to helping healthcare providers to succeed and work in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine as well as digital health and enterprise services.
We are inspired to transform the way things are done – because we want what is best for our people, our customers, and ultimately to help everyone live longer and healthier lives. To find out more about our business and recent news, including our continued response to COVID-19, please explore our website.
Being part of our team:
At Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose: To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services.
We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally. We appreciate that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements with our applicants to encourage agile working and innovation.
Organization: Siemens Healthineers
Company: Siemens Healthcare Limited
Experience Level: Student (Not Yet Graduated)
Job Type: Full-time
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