Postdoc Researcher in Data Analytics and Machine Learning Tyndall National Institute Department of Computer Science and Electrical Science

ST-10 Postdoc Researcher– Data Analytics and Machine Learning for Wearable Systems (Healthcare and Well-being) Contract: Full Time/Fixed Term The Tyndall National Institute is a world leader in the development of Information and Communications Technologies (ICT), with a primary mission to deliver economic impact through outstanding research coupled with world leading infrastructure, capabilities and expertise. In pursuit of this aim, Tyndall has developed an extensive network of national and international industrial collaborators and commercial clients, ranging from indigenous start-up companies to global giants. Examples of our industrial partners include Intel, Analog Devices, Boston Scientific, Sanmina and Huawei. Tyndall now has research contracts with 4 of the world's top ten Medtech companies and has researchers-in-residence from eleven companies embedded within our research teams. With a network of over 200 industry partners and customers worldwide, Tyndall generates around €35M income each year, 85% from competitively won contracts. Tyndall is currently engaged in an ambitious 'ICT for Health' strategy that is leveraging our core strengths in human capital, global networks and world-class infrastructure to develop the next generation of intelligent medical devices and systems. In particular, Tyndall has recently received significant funding from the Department of Business, Enterprise and Innovation (DBEI) as part of its Disruptive Technologies Innovation Fund (DTIF) for the HOLISTICS project. HOLISTICS will connect Irish-based companies in the medtech, sports science, ICT and product design sectors with leading Irish research performing organisations (RPOs) and clinical partners to exploit state-of-the-art hardware, software, data analytics and visualization technologies for wearable systems. HOLISTICS builds on several years of engagement between Tyndall and Irish companies to address disruptive business opportunities in Health-Tech as well as significant experience in driving large scale research & innovation programs. As a result, the Tyndall National Institute is therefore seeking highly motivated postdoctoral researchers in Machine Learning / Data Science to join our team in this exciting and rapidly expanding R&D field and work on the development of novel algorithms based on wearable sensing technology and related sensor data. This exciting role will give the opportunity to work on a ground breaking new ideas and projects and work alongside experienced and talented software and hardware teams with the opportunity to impact and define development and technology. Responsibilities The candidate will work in a team environment and under the direction of the Principal Investigator/Project Leader to: Use Machine Learning and/or Data Science to create novel algorithms to drive the established research agenda Lead sensor data analysis to support algorithm development Design, implement, test and document new innovative algorithms for wearables in healthcare and well-being contexts Carry out specification and design procedures that respond to the needs of our industrial partners Liaise with research partners and relevant stakeholders at a technical level Manage communication with relevant parties Validate reliability and performance under laboratory conditions Work efficiently with other team members in the software, hardware and testing development Carry out administrative work to support the program of research and ensure all project deliverables and milestones are achieved in a timely manner Participate in Education and Public Engagement activities, as required. Contribute to the engagement on intellectual property activities in partnership with the Office of Technology Transfer Ensure all activities are compliant with the Tyndall Quality Management system. Ensure all activities are compliant with the required Health and Safety standards. Carry out any additional duties as may reasonably be required within the general scope and level of the post. Essential Criteria The candidate should have: A PhD in Electrical and Electronic/Biomedical Engineering, Computer Science, Applied Mathematics, Data Analytics or related area. Appropriate experience in one or more areas such as physiological sensing, microcontroller programming, data science for wearable sensors data. Strong experience with Machine Learning – evidence of data modelling and evaluation skills. Experience in at least two tools: Matlab, R, C, Python (pandas, sklearn). Deep knowledge of math, probability, statistics and algorithms. Experience with lab equipment (e.g. electronic equipment and biomechanics lab), and a willingness to adapt to a multidisciplinary field. A strong publication record. An ability to work independently to a tight schedule. A demonstrated capability in the delivery of research projects. Capability of working effectively within a team to achieve results. Excellent verbal and written communication skills. Self-motivation, initiative, and being achievement-oriented. Desirable Criteria 1-2 years academic or industry experience in the technical areas mentioned above. Prior experience of working with/in industry, scientific paper writing, conference presentation and report writing is also desirable. Past experience in deep learning, as well as TensorFlow, Keras, Caffe, CUDA, is highly advantageous. Past experience in wearable technology applications is also highly advantageous. Past experience in interacting with business stakeholders, as well as other stakeholders, such as clinicians, patients and sport scientists, is also a plus. Skills and Experience This is an exciting project in a fast-moving, industrially relevant area. Reporting to the team leader of the research activity, the candidate will take a hands-on role, and will be responsible for the day-to-day execution of the technical research tasks outlined above. Scientific dissemination (preparation of regular internal reports, journal and conference publications, and industrial liaison) is an essential part of the position. Some international travel may also be required. It is critical that the candidate has an ability to work in a team environment, as he/she will liaise closely with other team members engaged in developing complementary aspects in the project. In addition, close cooperation with our industrial and clinical partners is required, who will provide support, supervision and direction throughout the research activity. The successful candidate should be highly motivated with excellent organizational and communications skills, demonstrate an understanding of the research environment, the ability to communicate his/her research and the potential to manage a research project. The successful candidate will experience the excitement of working with high-profile industry on emerging technologies in a world-class research environment, and will have the opportunity to build the career profile associated with presentation at international conferences, workshops and industry meetings, and publication of the research in high impact journals. The duration of the project is 12 months in the first instance, although this is likely to be extended pending the impact of the candidate. Please note that this advertisement is subject to final funding approval. For further information, please contact Salvatore Tedesco at salvatore.tedesco@tyndall.ie; +353 21 234 6286. Appointment may be made on the IUA Researcher Scale €37,221 - €44,266 depending on qualification and experience. If you apply for this position please say you saw it on Computeroxy Apply

ST-10 Postdoc Researcher– Data Analytics and Machine Learning for Wearable Systems (Healthcare and Well-being)

Contract: Full Time/Fixed Term

The Tyndall National Institute is a world leader in the development of Information and Communications Technologies (ICT), with a primary mission to deliver economic impact through outstanding research coupled with world leading infrastructure, capabilities and expertise. In pursuit of this aim, Tyndall has developed an extensive network of national and international industrial collaborators and commercial clients, ranging from indigenous start-up companies to global giants. Examples of our industrial partners include Intel, Analog Devices, Boston Scientific, Sanmina and Huawei. Tyndall now has research contracts with 4 of the world's top ten Medtech companies and has researchers-in-residence from eleven companies embedded within our research teams. With a network of over 200 industry partners and customers worldwide, Tyndall generates around €35M income each year, 85% from competitively won contracts.

Tyndall is currently engaged in an ambitious 'ICT for Health' strategy that is leveraging our core strengths in human capital, global networks and world-class infrastructure to develop the next generation of intelligent medical devices and systems. In particular, Tyndall has recently received significant funding from the Department of Business, Enterprise and Innovation (DBEI) as part of its Disruptive Technologies Innovation Fund (DTIF) for the HOLISTICS project. HOLISTICS will connect Irish-based companies in the medtech, sports science, ICT and product design sectors with leading Irish research performing organisations (RPOs) and clinical partners to exploit state-of-the-art hardware, software, data analytics and visualization technologies for wearable systems. HOLISTICS builds on several years of engagement between Tyndall and Irish companies to address disruptive business opportunities in Health-Tech as well as significant experience in driving large scale research & innovation programs.

As a result, the Tyndall National Institute is therefore seeking highly motivated postdoctoral researchers in Machine Learning / Data Science to join our team in this exciting and rapidly expanding R&D field and work on the development of novel algorithms based on wearable sensing technology and related sensor data. This exciting role will give the opportunity to work on a ground breaking new ideas and projects and work alongside experienced and talented software and hardware teams with the opportunity to impact and define development and technology.

Responsibilities

The candidate will work in a team environment and under the direction of the Principal Investigator/Project Leader to:

Use Machine Learning and/or Data Science to create novel algorithms to drive the established research agenda
Lead sensor data analysis to support algorithm development
Design, implement, test and document new innovative algorithms for wearables in healthcare and well-being contexts
Carry out specification and design procedures that respond to the needs of our industrial partners
Liaise with research partners and relevant stakeholders at a technical level
Manage communication with relevant parties
Validate reliability and performance under laboratory conditions
Work efficiently with other team members in the software, hardware and testing development
Carry out administrative work to support the program of research and ensure all project deliverables and milestones are achieved in a timely manner
Participate in Education and Public Engagement activities, as required.
Contribute to the engagement on intellectual property activities in partnership with the Office of Technology Transfer
Ensure all activities are compliant with the Tyndall Quality Management system.
Ensure all activities are compliant with the required Health and Safety standards.
Carry out any additional duties as may reasonably be required within the general scope and level of the post.
Essential Criteria

The candidate should have:

A PhD in Electrical and Electronic/Biomedical Engineering, Computer Science, Applied Mathematics, Data Analytics or related area.
Appropriate experience in one or more areas such as physiological sensing, microcontroller programming, data science for wearable sensors data.
Strong experience with Machine Learning – evidence of data modelling and evaluation skills.
Experience in at least two tools: Matlab, R, C, Python (pandas, sklearn).
Deep knowledge of math, probability, statistics and algorithms.
Experience with lab equipment (e.g. electronic equipment and biomechanics lab), and a willingness to adapt to a multidisciplinary field.
A strong publication record.
An ability to work independently to a tight schedule.
A demonstrated capability in the delivery of research projects.
Capability of working effectively within a team to achieve results.
Excellent verbal and written communication skills.
Self-motivation, initiative, and being achievement-oriented.
Desirable Criteria

1-2 years academic or industry experience in the technical areas mentioned above.
Prior experience of working with/in industry, scientific paper writing, conference presentation and report writing is also desirable.
Past experience in deep learning, as well as TensorFlow, Keras, Caffe, CUDA, is highly advantageous.
Past experience in wearable technology applications is also highly advantageous.
Past experience in interacting with business stakeholders, as well as other stakeholders, such as clinicians, patients and sport scientists, is also a plus.
Skills and Experience

This is an exciting project in a fast-moving, industrially relevant area. Reporting to the team leader of the research activity, the candidate will take a hands-on role, and will be responsible for the day-to-day execution of the technical research tasks outlined above. Scientific dissemination (preparation of regular internal reports, journal and conference publications, and industrial liaison) is an essential part of the position. Some international travel may also be required.

It is critical that the candidate has an ability to work in a team environment, as he/she will liaise closely with other team members engaged in developing complementary aspects in the project. In addition, close cooperation with our industrial and clinical partners is required, who will provide support, supervision and direction throughout the research activity. The successful candidate should be highly motivated with excellent organizational and communications skills, demonstrate an understanding of the research environment, the ability to communicate his/her research and the potential to manage a research project.

The successful candidate will experience the excitement of working with high-profile industry on emerging technologies in a world-class research environment, and will have the opportunity to build the career profile associated with presentation at international conferences, workshops and industry meetings, and publication of the research in high impact journals.

The duration of the project is 12 months in the first instance, although this is likely to be extended pending the impact of the candidate.

Please note that this advertisement is subject to final funding approval.

For further information, please contact Salvatore Tedesco at salvatore.tedesco@tyndall.ie; +353 21 234 6286.

Appointment may be made on the IUA Researcher Scale €37,221 - €44,266 depending on qualification and experience.

If you apply for this position please say you saw it on Computeroxy

Apply