Category: Uncategorized

Job Opportunity: Machine Vision Developer within B-hive Innovations

Marc Hanheide / / Uncategorized

The Lincoln-based Agrifood-Tech company B-Hive is looking for a “Machine Vision Developer“:

logoA fantastic opportunity has arisen for the full-time permanent position of a Machine Vision Developer within B-hive Innovations.

This could be the perfect next step in your career and a chance to be at the forefront of developing the next generation of image-based solutions. You’ll be working on exciting and innovative projects to solve real day to day fresh produce and agricultural industry issues. Reporting to the Research and Development Project Manager and working closely with other B-hive team members, you will develop and support computer vision projects across the business.

Your responsibilities will include:

  • Researching and implementing machine vision techniques/methods for the fresh produce industry
  • Proposing and applying cutting–edge algorithms to add value to our projects and datasets
  • Converting research prototypes into production systems
  • Helping to deliver solutions to shape the future of technology in fresh produce
  • Transferring knowledge to other members of the team
  • Reading research papers

Required:

  • A PhD in computer vision and machine learning is preferred but master’s degree with relevant experience will also be considered
  • Strong coding skills C++, C#, and Python
  • Hands on experience with OpenCV
  • Experience with vision systems for object detection and image segmentation
  • Knowledge in structure motion, 3D reconstruction and machine learning
  • Ability to think outside the box and embrace new ideas
  • A willingness to pitch in with the team and get your hands dirty!

Some travel is involved, so you’ll need a full driving licence.

Hours: Monday to Friday 08:00 – 17:00. Weekend cover may also be required during the harvest season.

For further details or to apply please email info@b-hiveinnovations.co.uk

The Postgraduate Research Experience Survey for 2018 is now open!

Marc Hanheide / / Uncategorized

The national Postgraduate Research Experience Survey (PRES) is run by the Higher Education Academy in conjunction with the university, and is the only UK higher education sector-wide survey to gain insight from postgraduate research students about their learning and supervision experience.

The survey is your opportunity to tell us of your experiences as a postgraduate researcher at the University of Lincoln, whether you are new or have nearly completed, are studying part- or full-time, for a Masters by Research, a PhD, or a professional doctorate. Your views matter to us and are crucial in ensuring that the University provides the experience postgraduate research students need, and to improve provision for current and future PGRs.

https://lincoln.onlinesurveys.ac.uk/pres2018

PGR meeting and Research Presentations – January 2017

Massoud Zolgharni / / Uncategorized

Our monthly PGR meeting was held at Room MC3108 at 14:00 on Wednesday, 11th January.

We had have 1 speaker for this month seminar:

Speaker: Hussein Alahmer

Title: Computer-Aided Classification of Liver Lesions from CT Images Based on Multiple ROI

Abstract: This presentation introduces an automated Computer-Aided Classification (CAD) system to classify liver lesion into Benign or Malignant. The system consists of three stages; firstly, automatic liver segmentation and lesion’s detection. Secondly, extracting features from Multiple ROI, which is the novelty. Finally, classifying liver lesions into benign and malignant. The proposed system divides a segmented lesion into three areas, i.e. inside, outside and border areas. This is because the inside lesion, boundary, and surrounding lesion area contribute different information about the lesion. The features are extracted from the three areas and used to build a new feature vector to feed a classifier. The novelty lies in using the features from the multiple ROIs, and particularly surrounding area (outside), because the Malignant lesion affects the surrounding area differently compared to, the Benign lesion. Utilising the features from inside, border, and outside lesion area supports in better differentiation between benign and malignant lesion. The experimental results showed an enhancement in the classification accuracy (using multiple ROI technique) compared to the accuracy using a single ROI

The next seminar will be held in February. The date and venue for the next meeting will be announced.

PGR meeting and Research Presentations – November 2016

Massoud Zolgharni / / Uncategorized

The monthly PGR meeting was held at Room MC3108 at 14:00 on Wednesday, 9th November.

We had 1 speaker for this month seminar:

Speaker: Francesco Caliva

Title: Extraction of the retinal vascular trees

Abstract: The retina is a non-invasive access point to the vascular network, and several studies have shown that systemic (and local) disorders can affect blood vessels geometry and alter haemodynamic conditions within. Fundus photography is the gold standard screening technique of the retina. Therefore fundus images are employed in our research. This talk will present the subject of our research, which aims at identifying the retinal vascular trees and differentiate them as arterial and venous.

 

This was followed by discussions regarding the PGR studies in the School, organised by Dr Marc Hanheide.

 

The next seminar will be held in December. The date and venue for the next meeting will be announced.