Website Imperial College London
Job Summary Table of Research Associate in Security of ML-based Personal Assistants x2
| Attribute | Details |
|---|---|
| Job Title | Research Fellow / Research Associate in Security of ML-based Personal Assistants x2 |
| Visa Sponsorship | Info not available |
| Company Name | Imperial College London |
| Country | United Kingdom |
| Location | London, United Kingdom (On-site) |
| Salary Range | Info not available |
| Job Type | Full-time, Fixed Term Contract |
| Department | Computing |
| Experience Level | Mid-level/Senior |
| Education Requirements | PhD in Computing, Engineering or related field |
| Skills and Expertise | Verification of Neural Networks, Adversarial Search, Machine Learning, Robustness |
| Posting Date | Info not available |
| Job Expires | Info not available |
| Source | Imperial College London |
| Apply Link | Apply Here |
Job Description Summary
The Department of Computing at Imperial College London is seeking outstanding Research Fellows or Research Associates to join the Safe AI Lab (SAIL) group, working on verifying and robustifying machine learning systems and autonomous systems for personal AI assistants.
Responsibilities
- Verification and analysis of feed-forward, recurrent, LSTM and other neural networks used in personal assistants
- Machine Learning with a focus on robustness
- Tool building and engineering aspects of code analysis
- Planning and directing research projects and small teams
- Data collection, analysis, and maintaining accurate records
- Writing reports, publications, and presenting findings
- Providing guidance to staff and students
- Developing research collaborations and promoting the group’s reputation
- Contributing to research grant proposals
- Maintaining organized experimental work records
- Collaborating with scientists within and outside Imperial College
- Assisting in supervising undergraduate and postgraduate students
- Complying with College policies, safety practices, and attending training
Benefits and Perks
Information not available.
Company Overview
Imperial College London is a world-renowned university with a strong international presence in verification and artificial intelligence. The Department of Computing is a leading department of computer science, and the Safe AI Lab (SAIL) group is a vibrant, multi-national team working on various aspects of safe Artificial Intelligence.
Company Culture
Information not available.
Career Growth Opportunities
As a Research Fellow or Research Associate, you will have the opportunity to work on cutting-edge research projects, collaborate with leading experts in the field, and contribute to the advancement of safe AI and machine learning technologies. The role offers opportunities for career growth through publications, presentations, and potential future academic or industry roles.
Diversity, Equity, Inclusion, and Belonging
Imperial College London is committed to equality of opportunity and eliminating discrimination. The College values respect, collaboration, excellence, integrity, and innovation.
Equal Opportunity Statement
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework and comply with College policies and regulations.
Remote Work Policy
This position is on-site at the Imperial X and White City Campus locations in London.
Application Process
- Review the job description and person specification carefully.
- Prepare your application materials, including a cover letter and CV/resume.
- Apply through the official application portal on the Imperial College London website.
Application Deadline
Information not available.
How to Apply
Apply for the Research Fellow / Research Associate in Security of ML-based Personal Assistants x2 position through the official application portal on the Imperial College London website: Apply Here
Social Media Links
FAQs or Additional Information
For any additional information or inquiries, please visit the Imperial College London website or contact the relevant department or HR team.
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