Machine Learning Research Engineer – KTP Associate

Location UK / Belfast

Job Type

Salary See description

Updated 1 day ago

Reference 1371868

 Job Description

Excellent opportunity for a Machine Learning Research Engineer – KTP Associate based in Belfast.

Machine Learning Research Engineer – KTP Associate

Ref: 18/106947

Cirdan Imaging Ltd

Established in 2010, Cirdan is a leading supplier of software and imaging solutions for clinical laboratories. Our mission is to “Improve Wellbeing Through Innovation” in which we help deliver through our products which are currently installed in numerous prestigious and diverse healthcare organisations throughout the world. Cirdan is an exciting and fast-growing medical devices company headquartered in Northern Ireland with offices in Canada and Australia.  Cirdan’s core products are used by customers across six continents helping to improve efficiency and streamline laboratory operations.

This temporary post is available for 30 months.

We wish to recruit a highly skilled and motivated graduate to work in Cirdan in collaboration with Queen’s University Belfast over 30 months. Through this Knowledge Transfer Partnership, this project aims to enhance pathology medical device products with clinical expert intelligence derived from an embedded deep learning system.

The successful candidate must have:

  • a 2.1 Honours degree (or equivalent) in Computer Science or a related subject such as Maths, Physics or Engineering.
  • At least 6 months’ relevant work or research experience (*can include relevant experience gained through a student project, module, work placement or a higher degree).
  • Proficiency in programming and experimental analyses with one or more programming languages such as C++, Java or Python.

Further information about the Company can be found at //www.cirdan.com/

Anticipated interview date: Friday 14 December 2018

Salary scale: £30,000 – £36,000. One of the key KTP benefits for graduates is access to a £10,625 training and travel budget over the 30-month project.

To Apply please click the APPLY NOW button below to be forwarded to our website.

Closing date: Tuesday 4 December 2018