nnovation Lab Engineer in AI and Web 3.0

Organisation/Company: UNIVERSITY OF SURREY

Research Field: Computer science

Researcher Profile: Recognised Researcher (R2) / First Stage Researcher (R1)

Country: United Kingdom

Application Deadline: 28 Nov 2024 - 00:00 (UTC)

Type of Contract: Other

Job Status: Full-time

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Surrey Academy for Blockchain & Metaverse Applications

Location: Guildford

Salary: £36,024 to £44,263

Fixed Term

Post Type: Full Time

Closing Date: 23.59 hours GMT on Thursday 28 November 2024

Interview Date: To be confirmed

Reference: 052524

We are looking for a talented and versatile Full Stack Research Engineer to join our dynamic research team. The ideal candidate will have a strong foundation in Python programming and a keen interest in the intersection of machine learning, artificial intelligence, and blockchain technology.

Key Responsibilities:

• Machine Learning & AI Prototyping: Develop and implement machine learning and AI models for practical applications, primarily using Python and its ecosystem of libraries.
• Blockchain Integration: Integrate blockchain solutions into research projects, including smart contract development using Solidity and deployment on public or private blockchains.
• Collaborative Agile Development: Work closely with a cross-functional research team, adhering to agile methodologies to deliver impactful research results.
• Continuous Learning: Keep up-to-date with the latest advancements in machine learning, AI, blockchain, and emerging technologies.

Required Qualifications:

• Master's degree or Ph.D. in Computer Science, Computer Engineering, or a related field.
• Strong proficiency in Python programming, including key libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Familiarity with blockchain concepts, including smart contract development (Solidity) and deployment on decentralized platforms.
• Solid understanding of machine learning and AI algorithms, including supervised, unsupervised, and reinforcement learning.
• Excellent problem-solving abilities, along with strong communication and collaboration skills.
• Proven ability to work independently and contribute effectively in a team environment.

Preferred Experience:

• Practical experience in developing and deploying decentralized applications (DApps) and working with distributed systems.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Contributions to open-source projects are highly valued.

If you're passionate about cutting-edge research, thrive in a collaborative environment, and have a strong technical foundation, we encourage you to apply. Applicants with real-world development experience will be given preference.

What’s in it for you?

We think Surrey is an amazing place to work, and we are carefully crafting a dynamic, flexible, and fun place to work and thrive.

Our campus is a beautiful, leafy environment with carefully designed gardens, vibrant green playing fields, and a picturesque lake. With the buzz of student life and superb working facilities, the University of Surrey is a global community of ideas and people, dedicated to life-changing education and research in an inspiring, innovative and diverse environment.

Alongside our gorgeous campus setting, collegiate on-site atmosphere and plentiful development opportunities, we also offer:

• Annual Incremental Pay Rise
• 25 Days annual leave + 7 University Days + Bank Holidays
• Travel & Family benefits including subsidised rail fare, cycle to work scheme and on-site childcare
• Access to on-site world-class leisure facilities at discounted rates
• On-site parking, cafes, restaurants and coffee shops

For more information or to be considered for the role, please apply via the University of Surrey Website.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.