KTP Associate - Cloud Digital Twin Developer; EL

Are you ready for your next challenge?

We are seeking a KTP Associate – Cloud based Digital Twin Developer for an exciting 24‑month Knowledge Transfer Partnership (KTP) between the University of Lincoln and Siemens Energy Industrial Turbo machinery Ltd.

You’ll play a pivotal role in developing and implementing a novel hybrid diagnostic and prognostic models for SEITL’s gas turbines
. The KTP aims to deploy the models on a scalable cloud platform to analyse real‑time operational data
. By working alongside SEITL’s industry leaders and academic experts from the University of Lincoln, you’ll contribute to designs that meet real industrial needs while embedding cutting‑edge knowledge within the company. This unique multidisciplinary project will empower you to make a lasting impact.

• Practical experience of programming Python and Matlab.
• Experience of mathematical/physical/hybrid modelling.
• Experience in deploying intelligent algorithms.
• Some thermodynamic modelling and/or knowledge of gas turbine technology is desirable, but not essential.
• You will be able to interpret and clearly articulate technical and complex information. You will be expected to present to a wide‑ranging audience including senior stakeholders.
• You will be proactive, able to influence others and build rapport quickly, developing long‑term relationships.
• You will enjoy responsibility, solving unexpected problems and challenging the status quo.

• Mentorship and direct support from SEITL’s employees and academic experts from the University.
• Access to a tailored training and development budget (£4,000).
• Professional growth opportunities, including potential employment post‑KTP.

SEITL design, manufacture and service small to medium industrial gas turbines (5 to 15 MW). Globally, SEITL have installed a fleet of over 3,000 units across over 90 countries.

To learn more about KTPs, please visit https://(Use the "Apply for this Job" box below)./

Please note that due to funding rules applicants should not:

• Have previously been employed or be currently employed by SEITL or an associated business.
• Have previously completed a KTP.

If you would like further information or an informal discussion about this opportunity, please contact Sepehr Maleki on

Closing Date: 17 Mar 2026

Department:
Research

Salary:
Please note, this post is permanent and full‑time at 37 hours per week.