PhD candidate on the project "Early diagnosis of glaucoma using eye movements and Bayesian statistical modeling"

29 Dec 2023
Job Information

Organisation/Company

Erasmus MC (University Medical Center Rotterdam)

Research Field

Medical sciences

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Netherlands

Application Deadline

13 Jan 2024 - 23:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Project Description:
Glaucoma is the leading cause of irreversible blindness in the world, and early detection is crucial for effective management. This interdisciplinary project aims to develop a novel approach for the early diagnosis of glaucoma by integrating eye-movement analysis and Bayesian statistical modeling. As the successful candidate, you will work closely with a multidisciplinary team of researchers, clinicians, and industry partners to explore innovative methods for identifying early signs of glaucoma through the analysis of eye movements.

Responsibilities:

• Conduct literature reviews and stay abreast of recent advancements in oculomotor research, eye-movement analysis and Bayesian statistical modeling.
• Design and implement experiments to collect eye-movement data from healthy individuals and individuals at risk of developing glaucoma.
• Develop and apply Bayesian statistical models for early glaucoma detection using the collected data.
• Collaborate with clinicians to validate findings and translate research outcomes into clinical practice.
• Publish research findings in peer-reviewed journals and present at relevant conferences.

Requirements
Specific Requirements

• Master's degree in a relevant field, e.g. Biomedical Engineering, Computer Science, Neuroscience, Statistics.
• Strong background in statistical modeling, preferably with experience in Bayesian methods.
• Proficiency in programming languages (e.g., Matlab, Python, R) and data analysis.
• Experience with or interest in (video) eye-tracking techniques.
• A collaborative mindset, i.e. willingness to actively engage with team members to share ideas, provide support, and contribute to the collective success of the team.

Additional Information
Benefits

• You will receive a temporary position for 4 years. The gross monthly salary is € 2.901,- in the 1st year and increases to € 3.677,- in the 4th year (scale OIO).
• Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

Selection process

For more information about this position, please contact Dr. Peter Bremen, Assistant Professor: [email protected] .

If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website.

Additional comments

For more information about this position, please contact Dr. Peter Bremen, Assistant Professor: [email protected] .

If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website.

Website for additional job details

https://www.academictransfer.com/336266/

Work Location(s)

Number of offers available

1

Company/Institute

Erasmus MC

Country

Netherlands

City

Rotterdam

Postal Code

3015 GD

Street

Dr. Molewaterplein 40

Where to apply

Website

https://www.academictransfer.com/en/336266/phd-candidate-on-the-project-early-d…

Contact

City

Rotterdam

Website

http://www.erasmusmc.nl/

Street

Dr. Molewaterplein 40

Postal Code

3015 GD

STATUS: EXPIRED