At a Glance
- Tasks: Dive into deep learning for anomaly detection and object tracking in exciting research projects.
- Company: Join the innovative team at Durham University's Computer Science Department.
- Benefits: Gain valuable research experience, collaborate with industry leaders, and enhance your skills.
- Other info: Enjoy a dynamic research environment with opportunities for collaboration and growth.
- Why this job: Make a real impact in applied computer vision and machine learning while building your career.
- Qualifications: Passion for computer vision, machine learning, and a desire to innovate.
The predicted salary is between 30000 - 40000 £ per year.
The successful candidate will be based in the Department of Computer Science, Durham University. Applications are invited for a full-time Research Assistant in Computer Vision and Machine Learning (Visual‑AI) with a particular emphasis on deep learning for anomaly and out‑of‑distribution detection. The post‑holder will join Prof. Toby Breckon’s research team at Durham University for an initial fixed‑term period of 24 months, funded by an ongoing portfolio of research work primarily spanning aspects of open‑world object detection and anomaly/outlier detection for use in both wide‑area visual surveillance, aviation security and sensing for future autonomous vehicle/robot sensing.
Responsibilities:
- Work on common themes of deep machine learning research with applications across several active research streams within the group.
- Consider the use of cutting‑edge deep learning algorithms for object detection and tracking, anomaly detection and other generalized data‑understanding tasks across a range of imaging modalities.
- Investigate novel aspects of these tasks, develop software algorithms, and manage own academic research in addition to collaborating with a range of external industrial and government collaborators.
The post offers an outstanding opportunity to gain a strong research track record in an exciting and fast‑moving area of applied computer vision and machine learning whilst working in an environment with high levels of external collaboration and industrial research impact.
Research Assistant - Computer Vision and Machine Learning in North East employer: Durham University
Durham University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the Department of Computer Science. As a Research Assistant in Computer Vision and Machine Learning, you will benefit from extensive professional development opportunities, access to cutting-edge research projects, and the chance to work alongside leading experts in the field, all while contributing to impactful research that shapes the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant - Computer Vision and Machine Learning in North East
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We think you need these skills to ace Research Assistant - Computer Vision and Machine Learning in North East
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Durham University, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Durham University. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Durham University
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
