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[交流] 牛津大学高等研究院拟招聘3位人工智能医疗方向研究人员

具体工作地点:

江苏苏州

薪金:

月薪2万+

学历和研究方向:

博士

招聘岗位:

研究岗

公司名称:

牛津大学高等研究院（苏州）- Oxford-Suzhou Centre for Advanced Research (OSCAR)

公司网址:

https://oscar.web.ox.ac.uk/

联系方式:

Email: info@oxford-oscar.cn

牛津大学苏州高等研究院拟招聘三位从事人工智能医疗方向的研究学者，欢迎大家关注，并直接投递简历！

详情请见以下描述及链接：https://oscar.web.ox.ac.uk/research-0

The Role

There is an urgent, unmet need for reliable, intelligent systems based on AI for supporting clinicians in delivering healthcare to an ever-increasing population with increasing comorbidities.  The Computational Health Informatics (CHI) Lab at the University of Oxford and its Suzhou site is building the next generation of healthcare systems for use in hospital and the home, based on machine learning.

The post-holder will take a role in the research activity of the CHI Lab within the Oxford-Suzhou Centre for Advanced Research (OSCAR) site at Suzhou, China, under the overall supervision of Prof. David Clifton of the Institute of Biomedical Engineering (IBME) at Oxford. Research will be undertaken in collaboration with clinical colleagues in the Oxford University Hospitals NHS Foundation Trust and other collaborators, including those based in China.

OSCAR is a research-only institute in the Suzhou Industrial Park, Suzhou, China.  The Oxford team has developed considerable expertise in machine learning for healthcare applications. The post-holder will develop exciting research projects in AI for healthcare with existing and new collaborators in China, associated with CHI Lab’s portfolio of research projects.

The Institute of Biomedical Engineering (IBME) at the University of Oxford has a strong track record in commercialising its research outcomes, including the creation of spin-out companies.  Research outcomes from the programmes on which the post-holder would work would be considered for patenting, licensing, and spin-out activity as appropriate.  Oxford recognises researchers involved in such work via royalty streams, potential equity in resulting companies, etc.

The Post

The work will comprise machine learning research for analysing electronic medical record (EMR) data, including time-series of physiological data, blood test data, medications/interventions, and clinical diagnoses.  The post would be suitable for applicants with general interests in AI, machine learning, signal processing, computational statistics, and biomedical engineering.  There are excellent opportunities for publishing in the engineering / computer science literature as well as the medical literature. The post will involve liaising closely with the Oxford-based lab, including exchange visits to Oxford.

Responsibilities

Specific duties:
Develop research questions within the field of computational health informatics, conduct individual research, analysing detailed and complex qualitative and/or quantitative data from a variety of sources, and generate original ideas by building on existing concepts.
Develop, establish, and pursue appropriate analytical protocols and techniques to support research.
Regularly write research articles at an international level for peer-reviewed journals, book chapters, and reviews. Present papers at national and international conferences, and lead seminars to disseminate research findings.
Carry out collaborative projects with colleagues in partner institutions, and research groups.
Undertake administration of IT system, especially pertaining to computational systems typically used for machine learning.
Undertake literature searches for the project where appropriate and interpret and present the findings to the research team and other interested parties.
Maintain and enhance links with the professional institutions and other related bodies.
Present research results at conferences and other meetings which may be in the UK or other countries.

Additional duties:
Manage own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects of work to meet deadlines.
Present regular summaries of research progress to the senior research supervisors.
Collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters.
Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
Represent the research group at external meetings/seminars, either with other members of the group or alone.
Carry out collaborative projects with colleagues in partner institutions, and research groups.
Be responsible for submitting invoices and expenses claims for processing in accordance with the University regulations.
Where appropriate, play a key role in the training of new members of the team.
Contribute ideas for new research projects.
Be responsible for submitting invoices and expenses claims for processing in accordance with the University regulations.
Any other duties appropriate to this grade which may arise during the study.
Undertake the usual tasks of a post-doctoral Research Assistant, including attending group meetings, contributing to seminars, presenting work to visitors, etc.

Selection criteria

Essential
Hold a relevant PhD / DPhil in AI, signal processing, or a cognate discipline.
Strong publication record in machine learning, signal processing, computational statistics, or a cognate application area.
Possess specialist knowledge (sufficient to develop research projects and methodologies) in the fields of machine learning tools for analysing healthcare data.
Proven competence in mathematics and programming data analysis methods in Matlab or Python.
Fluency in Mandarin Chinese, including fluency in technical and clinical vocabulary (for collaboration with and development of OSCAR programmes).
Experience of IT administration, preferably in an academic environment, including experience of managing Linux servers.

Desirable
An interest in the application area of healthcare.

About OSCAR (Oxford Suzhou Centre for Advanced Research)

OSCAR, the first overseas research centre of the University of Oxford, is working closely with the Suzhou Industrial Park and both academic and industrial collaborators in China to progress a range of exciting societal and economic development opportunities.

As a multidisciplinary research, innovation and technology centre, OSCAR focuses on research challenges and technologies that both complement the Centre’s location in Suzhou Industrial Park and capitalise on current Oxford research strengths. Research will initially be focused around the areas of biomedical engineering, biomedicine, advanced functional materials, electronic / optoelectronic / photonic devices, environmental technology, energy, mathematical and computational applications in finance and in health, and other related science and engineering disciplines.

The Centre is positioned in Suzhou Dushu Lake Science and Education Innovation District (SEID), a district in southern SIP with a high concentration of science, education and innovation activity. SEID is the prototype of higher education internationalization in China which hosts 32 local and foreign universities and institutions. The Centre, housed in a nine-storey building with a gross space of 20,000m2, offers flexible access to facilities for multi-functional activities such as labs, seminars, workshops, training, public events, and administration, etc.

Guidance for Applicants

Thank you for your interest in applying for posts at the Oxford-Suzhou Centre for Advanced Research (OSCAR). Please read the following tips to help you proceed with the application process.

Before the application:

Please read carefully the job description and selection criteria for the post for which you are applying at the OSCAR website: https://oscar.web.ox.ac.uk to determine whether you have the required skills, knowledge, and experience as advertised. Please DO NOT apply for the posts which are currently unavailable. We typically receive many applications for each post, and so you will need to show in a covering letter how you meet the essential criteria and the desirable criteria in order to be shortlisted for interview.

Required Application documents:

Please submit a covering letter and CV (both in English and in PDF) by email attachment to info@oxford-oscar.cn  by 31 May, 2018. Applications received later than this date will not be considered.

Email subject: the title of the post for which you are applying.

Email content: please include your contact information, name, telephone number, and any dates for which you would not be available for interview.

Covering letter (no longer than one page)

Use the covering letter to explain your motivation for joining OSCAR, and state how your skills and experience match these requirements. Please provide evidence that you have the skills, knowledge, experience, qualifications that match the requirements of the post. The strongest applications provide examples of previous work that demonstrate how you meet the essential and desirable criteria.  Check your spelling and grammar; successful applications are typically proof-read to give the best impression to the selection panel.

Curriculum Vitae (CV, no longer than 8 pages)

Check that your CV is up-to-date and keep your CV within the page limit.  Highlight the skills and experience that are relevant to the post for which you are applying. Avoid sending a generic CV; the strongest applications are those for which CVs are tailored for the needs of the post for which the candidate is applying.  Give details of your education, employment history, publication record, lists of prizes, and voluntary experience.

After the application:

When you submit an application, the information you supply on your application will be provided to a selection panel, who will use it to assess your suitability for the post against the published selection criteria. You may be contacted via e-mail at any date regarding your application.

Your information is held securely in a database that is owned by OSCAR. The data will not be passed to external organisations or individuals other than those acting in a capacity as agents for OSCAR for software support purposes, or where an external body is party to the recruitment process.

When you submit an application to OSCAR you must confirm that you agree to these Terms and Conditions of Use, including the following declaration.

The information provided in the application materials is true and complete. I understand that any offer of employment may be conditional upon satisfactory screening.
I consent to be contacted by OSCAR at any date regarding my application.
I consent to the information given in this application being stored and processed in accordance with the data protection rules at OSCAR.
Thank you again for your interest in applying for a post at OSCAR.

Recruitment Office

Oxford Suzhou Centre for Advanced Research

Email: info@oxford-oscar.cn

[ Last edited by fungixx on 2018-5-10 at 02:04 ]

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