Postdoc: Vision-Driven Para-Sport Classification Lead

Vrije Universiteit Amsterdam; Amsterdam; On-site; EUR 41,000 - 64,000; Full time

Job summary

Vrije Universiteit Amsterdam seeks a Postdoctoral Researcher to lead IPC-funded projects advancing Para sport classification for vision impairment. You will develop and validate tools for vision assessment, collaborate with international partners, and coordinate a research network to evaluate efficacy and reliability of new classification methods.

The role sits in the Learning and Performance Section of the Department of Human Movement Sciences, offering impact on policy and practice in sport

Qualifications

• PhD in Human Movement Sciences, Sport Sciences, Rehabilitation Sciences, Psychology, Neuroscience, Vision Science, Biomedical Engineering, Data Science, or related discipline.
• Experience conducting independent scientific research and a strong publication record.
• Excellent written and spoken English.
• Ability to manage multiple project activities and collaborate internationally.

Responsibilities

• Lead day-to-day execution of two IPC-funded research projects.
• Develop and validate new classification tools with programmers.
• Design studies involving vision-impaired athletes and other groups.
• Coordinate data collection across collaborating institutions.
• Analyze and interpret research data and publish in international journals.
• Present findings at conferences and stakeholder meetings.
• Report progress to IPC and stakeholders.
• Supervise Master research students.
• Contribute to dissemination and grant applications.

Skills

Organisational skills

English communication

Project management

Collaboration

Education

PhD in Human Movement Sciences or related field

Tools

Matlab

Python

R

Unity

Job description

Vrije Universiteit Amsterdam seeks a Postdoctoral Researcher to lead IPC-funded projects advancing Para sport classification for vision impairment. You will develop and validate tools for vision assessment, collaborate with international partners, and coordinate a research network to evaluate efficacy and reliability of new classification methods.

The role sits in the Learning and Performance Section of the Department of Human Movement Sciences, offering impact on policy and practice in sport