Research Assistant in Design and Prototyping

📍 Job Overview

Job Title: Research Assistant in Design and Prototyping

Company: Newcastle University

Location: Newcastle, United Kingdom

Job Type: Part-Time, Temporary

Category: Research & Development / Engineering Operations

Date Posted: October 02, 2026

Experience Level: Entry-level to Junior (0-2 years)

Remote Status: On-site

🚀 Role Summary

• Contribute to a cutting-edge research project focused on developing intelligent railway adhesion-management technology, integrating sensing systems and AI platforms for enhanced safety and reliability.

• Engage in the full lifecycle of product design and prototyping, from conceptualization to optimization of embedded systems for real-world railway applications.

• Collaborate closely with academic researchers and industrial stakeholders (DB ESG, RSSB, BrianRail) to conduct rigorous laboratory, rig-based, and field testing of prototypes on operational railway infrastructure.

• Analyze complex research data, interpret findings, and contribute to the dissemination of research outcomes through reports, papers, and presentations.

📝 Enhancement Note: While the title is "Research Assistant," the responsibilities clearly indicate a hands-on engineering and product development focus within a research context. The role is embedded within the RAPID project, emphasizing practical application of design and prototyping skills. The mention of "operations" in the company description context implies a focus on operational efficiency and safety within the railway industry.

📈 Primary Responsibilities

• Design and optimize embedded sensing systems for real-time predictive monitoring of particulate flow and wheel-rail adhesion in railway applications.

• Execute laboratory, rig-based, and field testing protocols for RAPID prototypes, ensuring rigorous data collection and performance validation.

• Collaborate directly with industrial partners (DB ESG, RSSB, BrianRail) during compliance assessments and field trials, providing technical insights and support.

• Coordinate personal research activities with those of other team members, proactively employing problem-solving skills to achieve project objectives and contribute to project planning.

• Present research progress, findings, and outcomes clearly and concisely to the Principal Investigator and oversight groups.

• Collect, analyze, and interpret research data, drawing sound conclusions to inform project direction and future development.

• Contribute to the writing and dissemination of research results through reports, academic papers, and other relevant publications.

• Utilize research resources, including laboratories, workshops, and specialist equipment, effectively and safely.

📝 Enhancement Note: The responsibilities highlight a blend of technical execution, data analysis, and collaborative interaction, typical of research roles that bridge academic inquiry with industrial application. The emphasis on "co-ordinate own work with that of others" and "problem solving" points to a need for operational efficiency within the research process.

🎓 Skills & Qualifications

Education:

• Honours degree in Engineering or a closely related discipline. Experience:

• 0-2 years of experience in product design and engineering solution prototyping.

• Experience in conducting laboratory, rig-based, or field testing.

• Demonstrated ability to analyze data and document research findings. Required Skills:

• Product Design: Proven experience in conceptualizing and designing engineering solutions.

• Prototyping: Hands-on experience in creating and testing prototypes, particularly embedded systems.

• Data Analysis: Ability to collect, interpret, and draw conclusions from research data.

• Engineering Principles: Solid understanding of engineering concepts relevant to sensing systems and mechanical/electrical integration.

• Collaboration: Proven ability to work effectively within a multidisciplinary team and with external stakeholders.

• Communication: Excellent ability to present complex technical information clearly to diverse audiences, both written and verbal.

• Problem-Solving: Strong analytical and creative problem-solving skills to address research challenges.

• IT Proficiency: Excellent IT skills in major office applications (e.g., Microsoft Office Suite).

Preferred Skills:

• Experience with AI platforms or machine learning for data interpretation.

• Familiarity with railway systems or transportation technology.

• Experience in writing research papers or technical reports for publication.

• Knowledge of specific sensing technologies or embedded system development tools.

📝 Enhancement Note: The "Person" section outlines essential knowledge, skills, and experience. The "Qualifications" section specifies the minimum educational requirement. The "Attributes and Behaviour" section adds crucial soft skills and professional conduct expectations. The "Experience in product design" and "design and prototyping engineering solution" are direct matches for operations-focused roles involving product development lifecycles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of conceptual design work, including initial sketches, CAD models, or design specifications.

• Present case studies of engineering solutions developed, detailing the problem, design process, prototyping stages, and final outcomes.

• Include evidence of testing methodologies, data collection procedures, and analysis of results from prototype development.

• Demonstrate a structured approach to problem-solving and iterative design within a project context. Process Documentation:

• Detail the workflow from initial concept generation through to functional prototype development.

• Illustrate methods used for testing and validation of engineered solutions, including data acquisition and analysis steps.

• Provide examples of how feedback from testing or stakeholders was incorporated into design iterations.

📝 Enhancement Note: While not explicitly stated, a "Research Assistant" role, particularly in design and prototyping, implicitly requires a portfolio demonstrating practical application of skills. For this role, it would focus on the engineering development process, testing, and data analysis, aligning with operations' need for demonstrable problem-solving and execution capabilities.

💵 Compensation & Benefits

Salary Range: £33,951 to £35,608 per annum, pro rata. (This is a pro-rata salary for 18.5 hours per week.)

Benefits:

• Generous holiday package, with the opportunity to buy additional leave.

• Excellent pension schemes.

• A number of health and wellbeing initiatives to support employees.

• Access to university resources and facilities.

Working Hours: 18.5 hours per week.

(This is a part-time position, with the specific schedule likely to be negotiated based on project needs and candidate availability, but expected to be on-site.)

📝 Enhancement Note: The salary is explicitly stated and is pro-rated for the part-time nature of the role. The benefits listed are standard for a university setting and are directly extracted from the job description, highlighting the supportive environment for employees. The working hours are also clearly defined. For a UK-based role at this level, the stated salary is competitive for a research assistant position, particularly within a specialized project.

🎯 Team & Company Context

🏢 Company Culture

Industry: Higher Education / Research & Development / Engineering Technology. Newcastle University is a leading global research university, contributing to advancements in science, technology, and various other fields. The RAPID project is situated within the Faculty of Science, Agriculture & Engineering, specifically the School of Engineering, indicating a strong focus on innovation and practical application of engineering principles.

Company Size: Newcastle University is a large institution, employing thousands of staff and students. This size offers access to extensive resources, diverse expertise, and a broad network of professionals. For operations professionals, this means potential for structured career paths and exposure to large-scale projects.

Founded: Newcastle University was founded in 1834, boasting a long history of academic excellence and contribution to societal progress. This longevity suggests a stable and established environment with deep-rooted research traditions.

Team Structure:

• The RAPID project involves a multidisciplinary research team led by Dr. Sadegh Nadimi.

• Collaboration with industrial partners (DB ESG, RSSB, BrianRail) is a key feature, suggesting a dynamic interaction between academic research and industry operational needs.

• The team structure likely involves a Principal Investigator (Dr. Nadimi), senior researchers, and research assistants, working together on specific project objectives. Methodology:

• The project employs a research methodology that spans conceptual design, prototyping, laboratory testing, rig-based trials, and ultimately, field trials on operational railway infrastructure.

• Emphasis is placed on real-time prediction and optimization, indicating a data-driven approach using sensing and AI platforms.

• The process involves close collaboration with industry stakeholders for compliance assessment and practical application.

Company Website: https://www.ncl.ac.uk/

📝 Enhancement Note: The company context is derived from the university's general profile and the specific project details. The "RAPID" project's focus on "operational and safety challenges" in the railway industry directly links academic research to practical, real-world operations. The mention of industrial partners reinforces this connection.

📈 Career & Growth Analysis

Operations Career Level: This role is an entry-level to junior research position, suitable for individuals with a foundational degree and early-stage experience in design and prototyping. It represents an excellent opportunity to gain practical experience in a specialized, high-impact research project.

Reporting Structure: The Research Assistant will report directly to Dr. Sadegh Nadimi, the Principal Investigator of the RAPID project. Regular updates and progress reporting will also be provided to project oversight groups.

Operations Impact: While this is a research role, its direct connection to solving "significant operational and safety challenges" in the railway industry means it has the potential for substantial operational impact. Successful outcomes could lead to improved railway safety, reliability, and sustainability worldwide, directly influencing operational efficiency and cost-effectiveness in the sector.

Growth Opportunities:

• Skill Development: Deepen expertise in product design, embedded systems, prototyping, data analysis, and AI applications within a real-world engineering context.

• Industry Exposure: Gain invaluable experience working with leading industrial partners (DB ESG, RSSB, BrianRail), understanding their operational challenges and requirements.

• Research Contribution: Contribute to a project with the potential for significant academic and industry impact, including co-authorship on research publications.

• Networking: Build professional connections within both academia and the railway industry.

• Potential for Further Research: For those interested in academia, this role can serve as a stepping stone for further postgraduate studies or research positions.

📝 Enhancement Note: This analysis focuses on how a research role in a technical project can offer growth and impact relevant to operational improvements, even if not a traditional "operations" title. The emphasis is on developing skills and gaining experience that are transferable to operational roles in engineering and technology.

🌐 Work Environment

Office Type: The role is based within Newcastle University's School of Engineering, likely involving a mix of office-based work for data analysis and report writing, and laboratory/workshop environments for design, prototyping, and testing.

Office Location(s): The primary work location is Newcastle University campus in Newcastle, United Kingdom. The project also involves "field trials on operational railway infrastructure," suggesting potential for travel to relevant railway sites for testing.

Workspace Context:

• Collaborative Environment: The role requires close collaboration with a multidisciplinary research team and industrial partners, fostering an environment of shared learning and problem-solving.

• Technical Resources: Access to university research facilities, including laboratories, workshops, and specialist equipment, will be provided.

• Project Focus: The work is centered around the RAPID project, demanding a focused and dedicated approach to meeting research and development milestones.

Work Schedule: The position is part-time, 18.5 hours per week, offered on a fixed-term basis for 9 months. While specific days and hours may be flexible within the part-time framework, the "on-site" nature means physical presence at the university or testing locations will be required.

📝 Enhancement Note: The work environment description is based on the typical setup for a university research role and the specific mention of lab/workshop and field testing. The "on-site" requirement is a key differentiator.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Applications will be reviewed based on CV and cover letter, assessing alignment with the person specification.

• Technical Interview: Candidates will likely be asked to discuss their experience in design, prototyping, and data analysis, potentially with scenario-based questions related to the RAPID project.

• Portfolio Presentation: A key component will be presenting their portfolio, showcasing relevant design and prototyping projects, engineering solutions, and data analysis work.

• Team/PI Interview: Assessment of cultural fit, collaborative potential, and research interest with Dr. Sadegh Nadimi and potentially other team members.

Portfolio Review Tips:

• Showcase Design Process: Clearly outline the stages of your design projects, from problem identification and conceptualization to detailed design and prototyping.

• Highlight Engineering Solutions: Detail specific engineering solutions you have developed, emphasizing the technical challenges overcome and the innovative aspects.

• Demonstrate Prototyping Skills: Include visual evidence of prototypes (photos, videos) and explain the materials, methods, and tools used.

• Present Data Analysis: For any projects involving testing, present the data collected, your analysis methods, and the conclusions drawn. Quantify results where possible (e.g., performance improvements, error reduction).

• Tailor to the Role: Emphasize projects that involve embedded systems, sensing, or data-driven optimization, as these are core to the RAPID project.

• Structure for Clarity: Organize your portfolio logically, perhaps chronologically or by project type, with concise descriptions for each item.

Challenge Preparation:

• Be prepared to discuss your approach to problem-solving in design and engineering contexts.

• Think about how you would approach testing and validating a new sensing system for a railway application.

• Consider how you would manage your workload and collaborate with team members on a time-sensitive research project.

📝 Enhancement Note: The application and review process is inferred from standard academic and research hiring practices, with a strong emphasis on portfolio demonstration for design and prototyping roles. The advice is tailored to showcase the skills most relevant to the RAPID project's objectives.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Likely proficiency in CAD software (e.g., SolidWorks, AutoCAD, Fusion 360) for conceptual design and detailed engineering drawings.

• Prototyping Tools: Experience with 3D printing, CNC machining, or other rapid prototyping techniques. Familiarity with electronics prototyping tools (e.g., breadboards, soldering irons) and microcontrollers (e.g., Arduino, Raspberry Pi) may be beneficial.

• Laboratory Equipment: Experience using oscilloscopes, signal generators, multimeters, and other common electronic test and measurement equipment.

• Data Acquisition Systems: Familiarity with systems for collecting data from sensors and experiments.

Analytics & Reporting:

• Data Analysis Software: Proficiency in tools like MATLAB, Python (with libraries like NumPy, Pandas, SciPy), or R for analyzing experimental data.

• Spreadsheet Software: Advanced use of Microsoft Excel or Google Sheets for data organization and basic analysis.

• Technical Writing Tools: Proficiency in word processing software (e.g., Microsoft Word) and potentially LaTeX for report generation.

CRM & Automation:

• Not directly applicable to this research role, as it is not client-facing or focused on sales/marketing operations. However, project management tools might be used for task tracking.

📝 Enhancement Note: The tools and technology stack are inferred based on the responsibilities of designing, prototyping, and analyzing data for an engineering research project. Proficiency in relevant software and equipment is crucial for success.

👥 Team Culture & Values

Operations Values:

• Innovation & Excellence: A commitment to pushing the boundaries of technology and achieving high standards in research and development.

• Collaboration & Teamwork: Valuing collective effort, knowledge sharing, and mutual support within the research team and with industrial partners.

• Integrity & Rigor: Upholding scientific integrity, meticulous data collection, and accurate analysis in all research activities.

• Impact & Application: Focusing on developing solutions that address real-world challenges and have a tangible impact on safety, reliability, and sustainability.

• Continuous Learning: Encouraging professional development and staying abreast of advancements in engineering, sensing, and AI.

Collaboration Style:

• Multidisciplinary Integration: Working effectively with individuals from diverse engineering and scientific backgrounds.

• Stakeholder Engagement: Maintaining open communication and a proactive approach when interacting with industrial partners to ensure project alignment and successful trials.

• Knowledge Sharing: Actively participating in team discussions, sharing insights, and contributing to a collective understanding of project goals and challenges.

• Feedback Culture: Being receptive to constructive criticism and providing thoughtful feedback to colleagues to drive continuous improvement in design and research methods.

📝 Enhancement Note: Team culture and values are inferred from the university's general ethos and the specific collaborative nature of the RAPID project, which involves both academic and industrial partners.

⚡ Challenges & Growth Opportunities

Challenges:

• Complex System Integration: Integrating novel sensing and AI technologies into existing railway infrastructure presents significant technical challenges.

• Real-World Testing Constraints: Conducting field trials on operational railway lines involves strict safety protocols, logistical complexities, and potential for unpredictable environmental factors.

• Data Interpretation: Analyzing large and potentially noisy datasets from real-world conditions to extract meaningful insights requires advanced analytical skills.

• Balancing Research & Industry Needs: Effectively translating academic research findings into practical, industrially viable solutions while meeting stakeholder expectations.

Learning & Development Opportunities:

• Specialized Training: Opportunities to learn about advanced sensing technologies, AI applications in engineering, and railway-specific operational challenges.

• Industry Best Practices: Exposure to the operational requirements and standards of the railway industry through collaboration with DB ESG, RSSB, and BrianRail.

• Research Dissemination: Developing skills in scientific writing and presentation for academic conferences and publications.

• Project Management Fundamentals: Gaining experience in coordinating tasks, managing timelines, and contributing to project planning within a research context.

📝 Enhancement Note: The challenges and growth opportunities are derived from the nature of the RAPID project, which tackles complex engineering problems within a regulated industry. These aspects are framed to highlight learning and development potential for the candidate.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex engineering design or prototyping project you've worked on. What were the key challenges, and how did you overcome them?" (Focus on your design process, problem-solving, and technical execution.)

• "How would you approach collecting and analyzing data from sensors in a real-world railway environment? What potential issues might you anticipate?" (Demonstrate your understanding of experimental design, data integrity, and analytical methods.)

• "Imagine you're working on a prototype that isn't performing as expected during field trials. What steps would you take to diagnose and resolve the issue?" (Highlight your troubleshooting methodology and systematic approach.) Company & Culture Questions:

• "What interests you about the RAPID project and Newcastle University's research in railway technology?" (Showcase your research into the project and alignment with its goals.)

• "How do you approach working collaboratively with team members from different technical backgrounds and with external industrial partners?" (Emphasize your teamwork and communication skills.)

• "How do you ensure accuracy and attention to detail in your work, especially when dealing with research data and technical specifications?" (Address your commitment to quality and precision.) Portfolio Presentation Strategy:

• Project Storytelling: For each project in your portfolio, clearly articulate the problem statement, your design approach, the prototyping process, testing results, and the final outcome.

• Visual Aids: Use diagrams, CAD models, photos/videos of prototypes, and clear data visualizations to support your explanations.

• Quantify Impact: Wherever possible, quantify the results of your work (e.g., performance improvements, cost savings, efficiency gains).

• Highlight Relevant Skills: Specifically point out how your projects demonstrate skills in design, prototyping, data analysis, and problem-solving relevant to the RAPID project.

• Be Prepared for Questions: Anticipate questions about your design choices, technical challenges, and the lessons learned from each project.

📝 Enhancement Note: Interview preparation advice is tailored to the specific requirements of a research assistant role in design and prototyping, emphasizing technical skills, problem-solving abilities, and the importance of a well-presented portfolio that showcases practical engineering experience.

📌 Application Steps

To apply for this research position:

• Submit your application through the Newcastle University careers portal, including your CV and cover letter.

• Tailor your Cover Letter: Clearly articulate how your skills and experience directly align with the "Key Accountabilities" and "The Person" sections of the job description, specifically highlighting your experience in product design, prototyping, and data analysis.

• Curate Your Portfolio: Prepare a portfolio that showcases 2-3 key projects demonstrating your design process, prototyping capabilities, and data analysis skills. Ensure visual elements and clear explanations of your contributions and outcomes.

• Prepare for Technical Discussion: Be ready to discuss your portfolio projects in detail, explaining your technical choices, problem-solving strategies, and any challenges you encountered and overcame.

• Research the RAPID Project: Familiarize yourself with the project's objectives, the technologies involved (sensing, AI, railway adhesion), and the industrial partners to demonstrate your genuine interest and understanding.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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