1000+ Best science research Jobs in London (April 2025)

--- **Job Title**: Case Research Analyst (3-6 Month Contract) **Location**: London **Job Description**: We are seeking a highly skilled and motivated individual to work on a 6-month project researching and analyzing all aspects of a complex criminal case for the defence. The successful candidate will play a pivotal role in preparing a comprehensive defence pack, providing critical insights and supporting the legal team's strategy. **Responsibilities**: - Conduct in-depth research on all aspects of the criminal case, including legal precedents, evidence, and contextual factors. - Analyze and synthesize large volumes of information from various sources, including case files, witness statements, and expert reports. - Organize findings into a clear, concise, and well-structured defence pack. - Identify potential weaknesses or inconsistencies in the case against the client and develop strategies to address them. - Collaborate with legal professionals to ensure the research aligns with the defence strategy. - Maintain strict confidentiality and handle sensitive information with discretion. - Manage time effectively to meet deadlines and deliver high-quality outputs. **Required Skills and Qualifications**: - A first-class degree in a discipline with transferable skills (e.g., Law, Criminology, History, Political Science, Forensic Science, or similar). - Exceptional research and analytical skills, with the ability to process and evaluate complex information. - Outstanding organizational and time management skills, capable of independently prioritizing tasks. - Excellent written and verbal communication skills, with a knack for presenting findings clearly and persuasively. - Proficiency in using digital tools and databases for legal research. - A strong attention to detail and the ability to identify nuances in documentation. - A proactive and self-motivated attitude, with the ability to work independently and as part of a team. **Desirable Skills**: - Previous experience in legal research, case analysis, or related fields. - Familiarity with criminal law and legal terminology. - An understanding of the UK legal system and case law. - Experience in interviewing or liaising with witnesses or experts. - Problem-solving skills with an innovative and resourceful approach to challenges. **Application Process**: To apply, please submit your CV and a cover letter detailing your relevant experience and why you are suitable for this role to [Insert Contact Information]. Applications will be reviewed on a rolling basis

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Rival

PhD Research Intern, AI-Powered 2D-to-3D Video Conversion

5 days ago

Full-time

London

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

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