Research Software Engineer (Newcastle, GB)

Opportunity Overview: Research Software Engineer - Edge AI Specialist at Newcastle University

Newcastle University is actively seeking a talented and driven Research Software Engineer to join their innovative team. This role presents a unique opportunity to contribute to cutting-edge advancements in machine learning and edge computing, a rapidly expanding field with significant real-world applications.

Key Advantages for Candidates:

• Pioneering Technology: You will be at the forefront of developing and deploying machine learning solutions specifically designed for resource-constrained edge computing platforms. This involves optimizing models for real-time processing, limited connectivity, and low power consumption, pushing the boundaries of what's possible.
• Impactful Work: The role directly contributes to building scalable, efficient, and robust edge AI solutions. Your work will have tangible outcomes in environments where reliability and performance are paramount.
• Collaborative Environment: You'll have the chance to collaborate with cross-functional teams, fostering a dynamic and interdisciplinary approach to problem-solving.
• University Benefits: Newcastle University offers an excellent benefits package, including a generous holiday allowance (with the option to purchase more), strong pension schemes, and comprehensive health and wellbeing initiatives.
• Career Growth: This position is an excellent stepping stone for individuals looking to specialize in the highly sought-after field of edge AI. You'll gain invaluable experience and knowledge that can propel your career forward.
• Commitment to Diversity and Inclusion: Newcastle University is dedicated to fostering a diverse and inclusive workplace, valuing the contributions of all employees and promoting equality. They are a University of Sanctuary and hold awards recognizing their commitment to gender equality, race equality, and support for disabled applicants.

Key Considerations for Your Career Path:

• Specialized Skill Development: This role is ideal for candidates who are passionate about machine learning and eager to develop deep expertise in deploying models on edge devices. You will gain practical experience in model optimization techniques (e.g., quantization, pruning) and integrating AI with hardware.
• Focus on Real-World Constraints: Success in this role requires a keen understanding of the challenges associated with edge deployments, such as latency, power consumption, and limited connectivity. Your ability to balance accuracy with these constraints will be crucial.
• Essential Qualifications: A Bachelor's degree in Computer Science or equivalent is required, along with demonstrable experience in using LiDAR data for autonomous vehicles or a similar application. Strong knowledge of Deep Learning Architectures and Training, and proficiency in Python programming are fundamental.
• Desirable Skills: While not mandatory, experience working in an industrial setting, strong presentation and communication skills, teamworking abilities, report writing, and familiarity with research methods will significantly enhance your candidacy and future career prospects.
• Fixed-Term and Part-Time Nature: Please note that this is a part-time role (25 hours per week) with a duration of 3 months. This presents an excellent opportunity for focused, intensive work on a specific project, or for individuals seeking to gain targeted experience in a short period.
• Project-Based Focus: The core responsibilities revolve around designing, implementing, optimizing, and deploying ML models on edge devices. You will also be involved in developing monitoring tools and maintaining code quality.

This Research Software Engineer position at Newcastle University offers a compelling opportunity for individuals with a passion for AI and a desire to make a significant impact in a dynamic and growing field. It’s a chance to hone specialized skills, contribute to innovative projects, and benefit from a supportive and inclusive university environment.