Post-Doctoral Position at University of Lincoln (Fully Funded)

Applications are now open for the Post-Doctoral Research Associate position in 3D Reconstruction and Modelling at the University of Lincoln, focused on advancing agri-robotics through digital twins for tomato production optimization. This opportunity is ideal for researchers in fields like 3D reconstruction, computational geometry, computer vision, and plant modelling. The deadline for applications is Tuesday, 20 January 2026, with interviews scheduled for Tuesday, 3 February 2026.

As a salaried research role starting from £38,784 per annum, it is fully funded through the project’s budget, providing a fixed-term contract until 31 December 2028. Eligible applicants include those with a PhD (or soon to obtain one) in a relevant area, possessing strong mathematical and coding skills (e.g., C++/Python, ROS), and a track record of research outputs. There is no application fee mentioned, making it accessible for qualified candidates worldwide. This position offers international collaboration, access to cutting-edge facilities, and contributions to high-impact publications, while promoting diversity and inclusion for underrepresented groups. You can check out more Internships, BS, MS, PhD and postdoc positions here.

Key Details

• Job Title: Post-Doctoral Research Associate in 3D Reconstruction and Modelling
• Department: School of Agri-Food Technology and Manufacturing
• Location: Lincoln Campuses, UK
• Salary: From £38,784 per annum
• Contract Type: Fixed-term until 31 December 2028, full-time (1 FTE)
• Reference: CHS279
• Closing Date: Tuesday, 20 January 2026
• Interview Date: Tuesday, 3 February 2026

What This Opportunity Offers:

• A competitive salary starting from £38,784 per annum (Grade 7), providing financial stability for the fixed-term contract until 31 December 2028 (full-time, 1 FTE).
• Access to state-of-the-art robotic hardware, software, and research farms equipped with industrial-standard production facilities and advanced sensors, enhancing your practical expertise in real-world applications.
• Opportunities for international collaboration within an ambitious team, expanding your professional network and exposure to global research perspectives.
• Support to produce and disseminate original research at leading conferences and journals, boosting your publication record and academic reputation.
• Mentorship and co-supervision roles for PhD students (for outstanding candidates), developing your leadership and teaching skills.
• Contribution to grant applications and project management, building transferable skills in funding acquisition and organizational leadership.
• Engagement in continuous professional development, ensuring you stay at the forefront of emerging technologies in 3D reconstruction and digital twins.
• A diverse and inclusive work environment that values contributions from underrepresented groups, fostering personal and professional fulfillment.

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Eligibility Criteria

To be considered, applicants must meet the essential requirements, with desirable attributes providing an advantage:

• Qualifications:
  • PhD or equivalent in a relevant area (or pending, with a strong publication record).
  • Extensive knowledge specific to the project area, such as 3D reconstruction, modelling, and related fields.
• Experience:
  • Authorship of research outputs of national/international standing.
  • Experience in research specific to the project area (essential); extensive experience in relevant research methods (desirable).
  • Teaching support experience (desirable).
• Skills and Knowledge:
  • Ability to design, conduct, and manage original research.
  • Excellent written communication for reports and outputs.
  • Ability to prioritize workload and meet deadlines under pressure.
  • Strong oral communication for complex subjects.
  • Project-specific skills, including excellent mathematical and coding abilities (C++/Python, ROS, and relevant software).
• Competencies and Personal Attributes:
  • Flexible approach to workload.
  • Ability to work independently and as part of a team.
  • Enthusiasm and commitment to the role.

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Project Focus Areas

The position emphasizes research in:

• Multi-view 3D reconstruction
• Computational geometry and 3D vision
• Procedural content generation
• Simulation technologies for robotics and automation
• Plant modelling
• Computer vision for robotics
• Modelling techniques for digital twins

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How to Apply

1. Applications should be submitted through the University of Lincoln’s official careers portal.
2. Search for job reference CHS279 to access the application form.
3. Prepare your CV, a cover letter addressing the person specification, and evidence of your qualifications and research outputs.
4. Ensure your application highlights how your skills align with the project.
5. For inquiries, contact the Principal Investigator or refer to the job description.
6. The University encourages applications from diverse backgrounds to build an inclusive team.

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