Ktp Associate - Belfast, United Kingdom - Queen's University Belfast

Queen's University Belfast

Verified Company

Belfast, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Job details:

Job reference
23/111015

Date posted
05/06/2023

Application closing date
30/06/2023

Salary
£25,000 - £40,000 per annum. One of the key
KTP benefits for graduates is access to a £9,500 training and travel budget over the 30-month project.

Job category/type

KTP

Attachments

Blank

KTP Associate
Data Scientist:

Job description

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University Belfast, is currently seeking to appoint to the post of
KTP Associate
Data Scientist.
Through the Knowledge Transfer Partnership (
KTP) Programme Queen's University Belfast in partnership with Sensoteq Ltd have an exciting employment opportunity for a graduate to work on a project to develop an innovative machine learning based condition monitoring package for detection of changes, energy efficiency analysis and related faults in industrial wireless sensing.
Sensoteq operate within the "Predictive Maintenance" space, specifically providing Industrial Internet of Things (IIoT) solutions to monitor the condition of machinery. Sensoteq' s purpose is to provide the industrial world with a more sustainable future, preventing failure and reducing energy wastage by wirelessly connecting machines to the internet and analysing the relevant data.
This is a unique opportunity for a dynamic and motivated Computer Science or Electronic Engineering graduate to work in Sensoteq Ltd (Belfast) on a 30month collaborative project with School of Electronics, Electrical Engineering and Computer Science (EEECS) at Queen's.

The
KTP Associate will lead on the delivery of the following key project stages under the guidance of company and academic supervisors:

Stage 1 Exploratory data analysis
Stage 2 Model development and model selection
Stage 3 Model and Knowledge Transfer
Stage 4 Relevant Data Analysis
Stage 5 Machine Learning based model development and refinement.

Stage

Finalise Model and Knowledge Transfer

Stage
7 -Dissemination and Exploitation

Hold, or be about to obtain, a PhD in a relevant discipline or 2 years of industrial work experience.
Hold at least a 2.1 Degree (or equivalent) in Computer Science, Electronic Engineering, or a closely related discipline.
Completion of a large relevant research project or student placement and have used machine learning techniques to develop a model with a successful outcome for the project.
Applicants should indicate how their experience could be applied to this post.
2 years of academic or industrial work experience in machine learning based model development, statistical analysis, and data science*.
Demonstrate work experience as part of a team.
Understanding of both supervised and unsupervised machine learning methods*.
Demonstrate an understanding of evaluating statistical models*.
Datasciencerelated programming skills in Python, R, or Matlab (Python preferred).
Experience with computer aided data analytics and visualisation framework software packages.

- may be demonstrated through a publication or a completed industrial project.

Queen's University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

About the
KTP Programme- About the School- About Sensoteq- Attractive Package- Further information for international applicants