Total 2 health consultant job vacancies in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

Introduction

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC is undertaking a research programme on "Future Health Technologies (FHT)". It addresses some immanent health challenges by developing a future-oriented Mobile Digital Health Conceptthat tackles the increase in patients suffering from chronic diseases such as diabetes, osteoporosis, obesity and stroke, as a consequence of a rapidly ageing population with mobile digital technologies, covering the value chain from acute care to patient's private homes.

Project Background

The healthcare systems of the future must effectively harness data to empower clinicians so that they can focus on delivering patient care while leveraging AI to uncover patterns beyond human capacity to detect, enhance diagnostic accuracy, optimize workflows, and improve risk communication. For effectively utilizing AI to achieve this end, access to large datasets from clinical practice remains a challenge as data privacy can prevent the transfer of sensitive data from sites of collection to large compute infrastructure. One approach for overcoming this in development of AI models for health, is federated analysis that has only been utilized for this purpose to a limited extent. For widespread use of federated methods, software infrastructure is needed that can handle diverse data sources as well as for optimizing model training across different consumer hardware.

One area of particular interest for research on AI for health is seamless incorporation of scientific models (which frequently are image-based) into AI toolchains. Examples for use of such models in health research are e.g. CFD models for cardiovascular applications and FE models in musculoskeletal health assessment. Merging scientific modelling technologies with other important data sources from clinical practice will allow researchers to leverage established laws and insights to drive the development of sophisticated learned models that can revolutionize diagnosis and care.

With this project, we aim to develop robust infrastructure that supports large-scale, expert-driven scientific endeavours, ensuring the effective application of AI in the field of musculoskeletal health. Focus will be on the seamless integration of advanced model-based biomechanical markers of bone health into AI workflows.

Applicants are invited to apply for a Post doctoral fellowship at the SEC. Funding is available for one year with a potential extension.

Job description

The post doctoral fellow will be embedded into a team of researchers that is working on improving the management of the risk of injurious falls in Singaporean elderly.

Some key components in the work are:

• Developing infrastructure for effective application of AI in this field.
• Accelerate the GNN/Tformer computations such that they run fast on consumer GPUs in a hospital setting.
• Use GNNs for embedding X-ray based clinical scans, for driving innovation in scientific AI applications.
• Applying for external funding.
• Co-supervision of PhD, MSc and BSc students

Requirements

Successful candidates will hold a PhD degree and strong background in computer science, mathematics (especially optimization), parallel computing, compilers, (performance) optimization, and/or computer systems. Candidates should be able to work (mostly) independently on a complex topic and must be highly motivated. Since our research topics are related to different fields (mathematics, computer science, computational science) candidates should be able to learn quickly and study topics independently. Good C/C++ and Python knowledge, and experience in software development as well as willingness and ability to work formally are required. Some background in parallel computing or high-performance computing is desirable. Experience in using software-engineering tools such as git and common associated development processes is required as well as knowledge of Bayesian methods and their applications in machine learning. Applicants need to be proficient in written and spoken English.

Info on application process

We look forward to receiving your application including the following documents: (1) a cover letter with a specific statement of your motivation for the project, (2) your CV including the name and contact information of 2 references, (3) and a copy of your university transcripts as PDFs.

For further information about the SEC: https://sec.ethz.ch/.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Introduction

The Singapore-ETH Centre (SEC) is home to a community of doctoral, postdoctoral and professorial researchers working in three main programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies. The centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes, with the shared vision of translating research to practical solutions for more sustainable and liveable cities, resilient physical and social urban systems, and patient-centric healthcare systems.

Project background

In collaboration with the Nanyang Technological University (NTU), the National University of Singapore (NUS), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC runs a research program on "Future Health Technologies (FHT)". In this programme, multidisciplinary teams develop a future-oriented mobile digital health concept which combines scientific and technological innovations with clinical, industry and other stakeholder needs. It tackles care for the increasing number of patients suffering from chronic diseases, particularly diabetes, obesity and stroke. Leveraging on scalable digital technologies, the team aims to transform the healthcare system towards a community-based and patient centric model along the continuum of care. Within this framework we are announcing the following job opening. This role is positioned within the leadership team of FHT. The position is highly related to collaborating with entire FHT and SEC team. Collaboration and cooperation are key skills.

Job description

The scope of work shall comprise of but shall not be limited to:

Personnel Management (in collaboration with SEC's HR team and FHT management team)

• Prepare, check, coordinate and take responsibility of the hiring processes for FHT with SEC HR
• Manage personnel database and report generation
• Support FHT PIs and researchers on various administrative tasks (eg: contract extensions/changes, new hiring etc).
• Prepare and manage any kind of contracts with actual and future entities/partners.

Infrastructure Management (in collaboration with relevant FHT and SEC teams)

• Manage the infrastructure and resource requirements in the FHT work spaces
• Manage FHT software and hardware requirements with SEC IT
• Organise and manage Assets
• Manage purchase of assets for FHT

Other tasks

• Manage day to day operations to run the programme smoothly with FHT team
• Strategizes process improvements along with the FHT team
• Communicate with CREATE building management teams to coordinate room bookings and IT arrangements for meetings
• Assist in meeting logistics (ex: coordinating guests, arranging food/IT etc logistics) as needed during meetings and events
• Assist FHT in simple Finance tasks where needed

Requirements

• Minimum a bachelor’s degree with 3 years of experience in management, operations and leadership.
• Strong communication skills (good command of English, both written and spoken)
• Proactive team player and a self-initiator
• Strong interpersonal and organisational skills
• Independent and takes responsibility for tasks assigned

We look forward to receiving your online application with the following documents:

• A cover letter with a specific statement of your motivation for applying to the position.
• Your CV including the name and contact information of 2 references.
• A copy of your university transcripts as PDFs.

Applications via email or postal services will not be considered.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Further information about FHT can be found on our website: https://fht.ethz.ch

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.