At a Glance
- Tasks: Develop and validate innovative nonlinear system identification methods using cutting-edge technology.
- Company: Join a leading research group at the University of Sheffield, known for its collaborative spirit.
- Benefits: Enjoy a competitive salary, flexible working options, and generous annual leave.
- Other info: Engage in exciting projects with opportunities for professional growth and networking.
- Why this job: Make a real impact in aerospace engineering while advancing your research skills.
- Qualifications: PhD or imminent completion in engineering, computer science, or mathematics required.
The predicted salary is between 38784 - 47389 £ per year.
The Dynamics Research Group is seeking a Research Associate to work on the EPSRC-funded "New Ways Forward in Nonlinear Structural Dynamics" project under Professor Keith Worden. Research will focus on developing and validating novel nonlinear system identification and modelling methods using symbolic regression and computer algebra.
Main Duties and Responsibilities:
- Apply mathematical and numerical modelling tools to develop nonlinear system identification and modelling algorithms with an emphasis on exact solutions.
- Develop optimisation and search methods based on symbolic regression tools interfaced with computer algebra systems.
- Experimentally validate the resulting novel methodologies on engineering use cases, primarily aerospace structures.
- Collaborate with team members both locally and externally, including short visits to partners.
- Produce high-quality journal and conference papers, surveys, graphs and written analysis.
- Manage workload to achieve project goals and deadlines with scientific rigor and integrity.
- Lead idea development and support colleagues in the research process.
- Participate in project meetings, conferences and outreach events.
- Contribute to project planning, resource allocation, milestones and overall objectives.
- Further develop research, leadership, communication and transferable skills.
- Adhere to the principles of the "Sheffield Academic" and make ethical decisions aligned with the university's sustainability strategy.
- Carry out other duties commensurate with the post.
Person Specification / Requirements:
- Good honours degree in engineering, computer science, mathematics, or equivalent experience.
- PhD or imminent completion in a relevant discipline.
- Knowledge and experience in nonlinear identification, digital twins and structural dynamics.
- Expertise in symbolic regression and computer algebra.
- Experience in coding for engineering problems (Matlab, Python, FORTRAN, C/C++).
- Strong communication skills; experience presenting research and publishing papers.
- Ability to work effectively within a research group and with external partners.
- Analytical problem-solving capability to produce publishable results.
- Organised and able to meet deadlines.
- Experience in experimental design and testing of structures under various environmental conditions.
- Desirable: adaptability to new circumstances.
Salary and Working Arrangements:
- Annual salary: £38,784 - £47,389.
- Full-time, Hybrid working.
- Contract: Fixed-term 36 months.
Benefits:
- Annual leave with purchase option.
- Generous pension scheme.
- Flexible working options.
- Discounts on retail, travel and meals.
- Staff networks and support.
- Recognition awards.
- Learning and mentoring schemes.
- Family-friendly policies.
Contact Principal Investigator: Professor Keith Worden – k.worden@sheffield.ac.uk
Research Associate in Nonlinear System Identification and Modelling in Sheffield employer: Dunhillmedical
As a Research Associate in Nonlinear System Identification and Modelling at the University of Sheffield, you will join a vibrant academic community that fosters innovation and collaboration. With a strong emphasis on employee growth, the university offers flexible working options, generous benefits including a pension scheme, and opportunities for professional development through learning and mentoring schemes. The supportive work culture encourages creativity and ethical research practices, making it an excellent environment for those seeking meaningful contributions to engineering advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Nonlinear System Identification and Modelling in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the Dynamics Research Group. A friendly chat can give us insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your nonlinear system identification knowledge. We want to show off our expertise, so practice explaining complex concepts in simple terms.
✨Tip Number 3
Showcase your coding skills! Bring examples of your work in Matlab, Python, or any relevant projects. We love seeing practical applications of your knowledge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who fit our vibe.
We think you need these skills to ace Research Associate in Nonlinear System Identification and Modelling in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Associate. Highlight your experience in nonlinear identification and any relevant coding skills, like Matlab or Python. We want to see how your background fits with our project!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about nonlinear system identification and modelling. Share specific examples of your work and how it aligns with the goals of our EPSRC-funded project. Let your enthusiasm shine through!
Showcase Your Research Skills:Since this role involves producing high-quality journal papers and presentations, mention any previous research experience. We love seeing evidence of your analytical problem-solving skills and how you've communicated your findings effectively.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and projects!
How to prepare for a job interview at Dunhillmedical
✨Know Your Stuff
Make sure you brush up on nonlinear system identification and modelling methods. Familiarise yourself with symbolic regression and computer algebra systems, as these are key to the role. Being able to discuss your knowledge confidently will impress the interviewers.
✨Showcase Your Experience
Prepare to talk about your previous projects, especially those involving coding in Matlab, Python, or C/C++. Highlight any experimental design work you've done, particularly in aerospace structures, as this will demonstrate your hands-on experience relevant to the position.
✨Collaboration is Key
Since the role involves working with both local and external partners, be ready to discuss your teamwork experiences. Share examples of how you've collaborated effectively in research groups and how you’ve contributed to achieving project goals.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex concepts in a simple way, as you may need to present your research or findings. Also, think about how you can convey your passion for the subject and your commitment to ethical research practices.
