Website University of York

Research Trainee

Job Summary Table of Research Trainee

AttributeDetails
Job TitleResearch Trainee
Visa SponsorshipInfo not available
Company NameUniversity of York
CountryUnited Kingdom
LocationYork, UK (Hybrid – Some remote working options available)
Salary Range£31,387 – £35,880 per year (pro-rata)
Job TypePart-time, Fixed-term Contract
DepartmentComputer Science
Experience LevelEntry-level to Mid-level
Education RequirementsBachelor’s degree in Computer Science, Engineering, or related field
Skills and ExpertiseComputer Vision, Deep Learning, Image Processing, PyTorch/TensorFlow
Posting DateNovember 6, 2024
Job ExpiresDecember 4, 2024
SourceUniversity of York Jobs Portal
Apply LinkApply Now

Job Description Summary 🔍

The University of York’s Computer Science Department is seeking a Research Trainee to join an innovative project focused on developing a data quality analysis and control platform for monitoring aquaculture species using underwater drone-mounted cameras and advanced deep learning techniques.

Responsibilities 📋

  • Support the research project’s daily operations and contribute to overall program objectives
  • Develop and implement deep learning algorithms for underwater image processing and analysis
  • Design and optimize control algorithms for drone maneuverability in aquatic environments
  • Conduct experiments and field work related to aquaculture monitoring
  • Process and analyze video data using computer vision techniques
  • Contribute to research reports and academic publications
  • Assist in supervising student projects
  • Collaborate with interdisciplinary team members

Benefits and Perks 🌟

  • Competitive salary range (£31,387 – £35,880 pro-rata)
  • Flexible working arrangements
  • Access to state-of-the-art research facilities
  • Professional development opportunities
  • Supportive academic environment
  • Family-friendly policies
  • Inclusive workplace culture

Company Overview 🏛️

The University of York is a prestigious research-intensive institution known for its academic excellence and innovative research programs. The Computer Science Department is at the forefront of technological advancement, particularly in areas such as artificial intelligence, computer vision, and robotics.

Company Culture 🤝

The university promotes a collaborative and inclusive environment where diversity of thought and background is celebrated. The workplace culture emphasizes work-life balance, professional growth, and academic freedom.

Career Growth Opportunities 📈

  • Opportunity to work on cutting-edge research projects
  • Collaboration with leading academics and industry partners
  • Access to advanced training and skill development programs
  • Potential for academic publication and conference presentations
  • Network building within the academic and research community

Diversity, Equity, Inclusion, and Belonging 🌈

The University of York is committed to creating an inclusive environment where everyone can thrive. They particularly encourage applications from people who identify as Black, Asian, or from a Minority Ethnic background, who are currently underrepresented at the University.

Equal Opportunity Statement ⚖️

The University strives to be diverse and inclusive – a place where ALL can be themselves. They are committed to equal opportunities and welcome applications from candidates regardless of their background.

Remote Work Policy 🏠

This position offers hybrid working arrangements with some remote work options available. The primary base will be at the University of York campus.

Application Process 📝

  1. Submit your application through the University of York jobs portal
  2. Include relevant documentation and CV
  3. Participate in the interview process (dates to be confirmed)

Application Deadline ⏰

Applications must be submitted by December 4, 2024

How to Apply 📮

For informal enquiries, contact Dr. Pengcheng Liu at pengcheng.liu@york.ac.uk To apply, visit the University of York jobs portal

FAQs or Additional Information ❓

  • Contract Duration: Fixed term until December 31, 2025
  • Reference Number: 13662
  • Position Grade: Grade 5
  • Interview dates will be confirmed with shortlisted candidates

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