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- Tasks: Support cutting-edge researchers in image analysis for life sciences using Python and machine learning.
- Company: Join a pioneering team focused on advancing scientific research through innovative software solutions.
- Benefits: Enjoy flexible hours, hybrid working options, and competitive salary with excellent perks.
- Why this job: Be part of impactful research, collaborate with diverse experts, and enhance your skills in a dynamic environment.
- Qualifications: PhD in computer science or related field, strong Python skills, and creativity in problem-solving.
- Other info: Initial 3+ year contract with potential for permanent position; open to diverse backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D / 4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques.
You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python skills to advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience.
You will bring:
- A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels.
- Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, along with an interest in working alongside researchers with diverse backgrounds.
- Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar.
- Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking.
Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. Whereas statistical approaches are not required.
This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time. Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available.
Please note: even if you don\’t have exactly the background indicated, do contact us now if this type of job is of interest – we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
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PhD Computer Scientist, Image Processing employer: ECM Selection
Contact Detail:
ECM Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Computer Scientist, Image Processing
✨Tip Number 1
Network with professionals in the life sciences and computer science fields. Attend relevant conferences or workshops where you can meet researchers and other PhD candidates. This can help you gain insights into the latest trends in image processing and machine learning, making you a more attractive candidate.
✨Tip Number 2
Showcase your Python skills through personal projects or contributions to open-source software. Create a portfolio that highlights your experience with image processing and machine learning techniques, particularly those relevant to 3D datasets. This practical demonstration of your abilities can set you apart from other applicants.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as TensorFlow and Keras. Consider taking online courses or tutorials to deepen your understanding of these frameworks, especially in the context of image analysis and neural networks.
✨Tip Number 4
Prepare to discuss your adaptability and creativity during interviews. Think of examples from your past experiences where you've successfully tackled complex problems or collaborated with diverse teams. This will demonstrate your fit for a role that requires working alongside researchers from various backgrounds.
We think you need these skills to ace PhD Computer Scientist, Image Processing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD qualifications and relevant experience in image processing and machine learning. Emphasise your Python skills and any projects related to 3D/4D datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your creativity, intellectual curiosity, and adaptability. Mention specific examples of how you've applied your skills in previous roles or projects, particularly in life sciences.
Highlight Relevant Skills: In your application, clearly outline your software engineering and algorithm development skills. Include any experience with TensorFlow, Keras, or similar tools, and discuss your familiarity with computer vision and cellular imaging techniques.
Show Enthusiasm for Collaboration: Express your interest in working alongside researchers from diverse backgrounds. Highlight any past experiences where you collaborated on interdisciplinary projects, as this will demonstrate your ability to thrive in a team environment.
How to prepare for a job interview at ECM Selection
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant libraries like TensorFlow or Keras. Highlight specific projects where you've applied image processing techniques, especially in 3D datasets, to demonstrate your expertise.
✨Demonstrate Your Creativity
Since the role requires creativity and intellectual curiosity, think of examples where you've approached a problem in an innovative way. Be ready to share how you adapt to new challenges and collaborate with colleagues from diverse backgrounds.
✨Familiarise Yourself with Relevant Concepts
Brush up on key concepts related to computer vision and cellular imaging. Even if you haven't worked directly with certain techniques like light-sheet microscopy or particle image velocimetry, showing an understanding of these areas can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the research projects and the team you'll be working with. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
