Application Form
Stroke Modelling Post-Doctoral Researcher (x2)

JobRef: 24539
  • Accepted file types: pdf, Max. file size: 12 MB.
  • Accepted file types: pdf, Max. file size: 2 MB.

Stroke Modelling Post-Doctoral Researcher (x2)

Level:Postdoctoral Researcher
POSTED:January 6, 2025
LOCATION:TU Dublin
Duration:Two fixed term (12 & 18 months) specified purposed basis contracts
Reports to:
Salary:The successful candidates will be appointed at point (01) of the Post- Doctoral Researcher Salary Scale i.e. €47,412 gross per annum.
Closing Date:January 20, 2025

For full job description, please download the file above.

TU Dublin is seeking to appoint two Postdoctoral Researchers for Predictive Modelling for Stroke, on two fixed term (12 and 18 months) specified purpose basis contracts.

Job Description
The post holders will be required to carry out the research including, ethics and data management processes and policy, analysing/preprocessing large clinical datasets, designing experiments for the training, running and validation of predictive models, recording, and writing up, and publishing the results, contributing to the creation of project deliverables, and organising and attending project events, and communicating with and working with project partners.

For the 12-month role, the primary focus will be applying machine learning to predictive modelling of stroke outcomes, such as the modified Rankin scale (mRS). This work will involve the curation, cleaning and data management of both structured clinical and imaging datasets. The 18-month role will include applying machine learning, statistical analyses and other analytics to clinical data of stroke patients in order to build explainable models predicting stroke risk, post-stroke conditions as well as rehabilitation models for stroke (e.g., gait analysis). Expertise in python, R, and machine learning and data processing software packages will be useful in these roles.

Application Process
Applications will be accepted through the online application service at www.tudublin.ie/vacancies. A CV and cover letter will be required in addition to the application form. All correspondence from the University regarding your application will be by email. Please ensure that the security filters on your email provider will accept emails from TU Dublin.

The selection process may include:
• shortlisting of candidates on the basis of the information contained in their application
• a competitive preliminary interview
• completion of online questionnaire(s)
• presentation or other exercises
• a final competitive interview (Competency Based)
• work sample/role play/media exercise and/or any other tests or exercises deemed appropriate

The University is committed to equality of opportunity and welcomes applications from all. However, our employment monitoring data tells us that individuals from Black, Asian and Minority Ethnic (BAME) communities, people with a disability and those who identify as LGBT+ are currently under-represented at the University. As such, we particularly welcome applications from these individuals.

Closing Date
The closing date for applications is 5.00 pm (Irish Time) on January 20th 2025. Late applications will not be accepted. It is anticipated that interviews for this post will take place in week beginning February 24th 2025. The interview assessment will be 50 minutes in length and will include a presentation of 10 minutes duration.

The topic of this presentation will be as follows:
“Leveraging Past Experience: My Approach to Predictive Modelling in the area of AI for Health”

In this presentation, we would like you to overview how your career achievements so far equip you to work on this research project and to present a research plan that you would employ in the project, based on your background and expertise and knowledge of relevant literature.

Contact information
For further information about this post please contact: Dr Katryna Cisek [email protected]
For queries regarding the application process, please contact Rosemary Okafor at (01) 2205175 between 9.30 and 5pm, Monday to Friday or email [email protected]


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