Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Vibration and Acoustic Fatigue Engineer

Accuris
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Machine Learning Engineer

Principal Geospatial Data Analyst

Principal Data Engineer

Principal Geospatial Data Analyst...

Principal Data Scientist: AI, MLOps & Production Leader

About us:Accuris, a company long-known for accelerating innovation in engineering workflows and supporting the vibrancy of the engineering community, launched in May 2023 as a standalone company. Accuris was formerly known as S&P Global’s Engineering Solutions division. The Company is valued for its standards content and workflow solutions like Engineering Workbench, Goldfire, Haystack and Parts Management Solutions.


Under its previous owners, including S&P Global, IHS and IHS Markit, Accuris has been an integral part of the engineering ecosystem for more than 60 years


Over the past 80 years, the Engineering Sciences Data Unit (ESDU) has researched, developed and published a large collection of design and calculation documents (known as Data Items) and software covering a number of engineering disciplines, but mostly within the aerospace sector. The current vacancy lies within the Aircraft Noise, Vibration and Acoustic Fatigue Group, whose work is guided and monitored by technical committees consisting of independent experts from industry, research and academia. Items are issued only after approval by the relevant committee.

The work of ESDU lies somewhere between research and design, with the requirement that the final documents must serve the needs of practicing engineers. Engineers at ESDU get the rare opportunity to investigate a whole range of different design problems in great depth. The work does not include experimental research as a rule, but does require them to seek out all the available literature on a particular subject, understand it and then interpret it for use in the design process. The final product may be data, a method with or without a computer program, or some combination of these. The work is therefore both interesting and rewarding.

Requirements:


Educational Qualification: You must have at least a good honours degree in acoustics, aeronautical engineering, or a closely related discipline. A higher degree is also acceptable.

Relevant Experience: Experience in an industrial or research organisation related to the field is essential.

Technical Skills:

  • Familiarity with the use and interpretation of test data.
  • Experience in applying and developing theoretical, semi-empirical, and empirical techniques.

Software Knowledge: Knowledge of Fortran and/or MATLAB is desirable.

Communication Skills: Proficiency in both spoken and written English is necessary for effectively disseminating technical information.

Collaborative Skills: Ability to work well with individuals and groups, especially those outside the organisation, such as independent committees in the field of vibration and acoustic fatigue.


Responsibilities:


Data Maintenance and Expansion:

  • Take overall responsibility for maintaining and expanding the Data Items and software in the Vibration and Acoustic Fatigue (VAF) Series.

Preparation of Presentation Papers:

  • Prepare papers to be presented to the VAF committee to obtain consensus for publication.

Professional Interaction:

  • Engage with the VAF committee in a professional manner to discuss and present findings or updates.

Guidance on Future Data Items:

  • Collaborate with the committee to receive guidance on future Data Items for inclusion in the VAF Series.



About Company Statement:

Accurisdelivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. (https://accuristech.com/)

Our mission:build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world’s most complex problems.

Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.