KTP Associate: Machine Learning Engineer – Process Simulations (CC

Opportunity Review: KTP Associate - AI & Process Safety Engineering

This Knowledge Transfer Partnership (KTP) Associate position offers a compelling opportunity for early-career engineers with a strong interest in the intersection of artificial intelligence (AI), machine learning (ML), and chemical engineering. If you're looking to make a tangible impact on industrial safety and sustainability while accelerating your career, this role warrants serious consideration.

Key Advantages for Candidates:

• Impactful Innovation: This KTP is at the forefront of developing a novel tool for process safety engineering, utilizing AI and ML to enhance simulations and decision-making. You'll contribute to creating safer, more sustainable work environments in critical industries like oil, gas, petrochemical, chemical, and pharmaceutical.
• Accelerated Career Growth: The "fast track" to business proposition is a significant draw. This role is designed to rapidly advance your career by placing you at the helm of a high-profile, strategically important project. You'll gain invaluable business acumen and leadership experience.
• Multidisciplinary Collaboration: You'll work within a dynamic KTP team, benefiting from the expertise of ioMosaic International, a leader in process safety consulting, and the academic excellence of the University of Bath's Chemical Engineering and Computer Science departments. This multidisciplinary environment fosters innovation and provides broad exposure.
• Comprehensive Personal Development: A key feature of KTP Associate positions is a dedicated focus on professional growth. You'll receive:
  • 10% of your time allocated for personal development.
  • A generous £6,000 personal development budget to pursue relevant training and qualifications.
  • Two intensive residential training sessions at Ashorne Hill, focusing on project management skills.
  • Mentoring from both academic and industry experts, ensuring well-rounded development.
• Industry Experience & Potential for Permanent Role: This 3-year fixed-term position provides an immersive industrial project experience. Critically, there is a strong potential to transition into a permanent role at ioMosaic upon successful completion of the KTP.
• Access to Resources: You'll have access to a wealth of academic and industrial resources, including advanced modeling tools and a dedicated travel & subsistence budget. Mentoring sessions through Innovate UK Business Connect further enhance support.
• Location and Benefits: Based in the historic and vibrant city of Bath, this full-time, in-person role offers a competitive salary (£35,000 - £45,000 per annum, plus the £6,000 training budget). The University of Bath also provides an extensive benefits package, including generous holiday, pension contributions, health and wellbeing services, and opportunities for personal and professional development.

Key Considerations for Candidates:

• Academic Foundation: The role requires a Master's or PhD level qualification in Engineering (Mechanical or Chemical), Mathematics, Physics, Computer Science, or a closely related field. Strong academic credentials in these areas are essential.
• Technical Skillset: Candidates should possess a demonstrable background or strong interest in mathematical modelling and simulation. Proficiency or familiarity with programming languages (e.g., Python, MATLAB, C++) and numerical/simulation tools (e.g., ANSYS Fluent, ASPEN, COMSOL, OpenFOAM) is highly valued.
• AI/ML Aptitude: A genuine interest and a willingness to develop skills in AI and Machine Learning are crucial, as these technologies are central to the project's innovation.
• Communication and Collaboration: The role involves significant stakeholder engagement. Excellent communication, interpersonal, and organizational skills are paramount for effectively leading the project and working within a multidisciplinary team.
• Project Management Acumen: While training is provided, a proactive and organized approach to project management will be beneficial for navigating this complex, three-year initiative.
• Understanding of KTPs: Familiarity with the KTP framework and your role within it is important. The provided link offers valuable insight into this unique collaboration model.

In summary, this KTP Associate position is an exceptional launchpad for individuals eager to bridge academic expertise with real-world industrial challenges. It promises substantial professional development, the chance to lead impactful projects, and a clear pathway for career advancement in the vital field of process safety engineering.