Researcher

Researcher

Belfast Full-Time 39922 - 43603 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a groundbreaking research project in multimodal image integration and develop innovative computational methods.
  • Company: Queen's University Belfast, a leader in research and innovation.
  • Benefits: Competitive salary, generous holiday entitlement, pension schemes, and flexible working options.
  • Why this job: Make a real impact on human health through cutting-edge research in protein imaging.
  • Qualifications: PhD in Computer Science or related field, with experience in machine learning and computer vision.
  • Other info: Collaborative environment with opportunities for career development and interdisciplinary projects.

The predicted salary is between 39922 - 43603 Β£ per year.

This post is part of a new research project "Transforming spatial and structural biology: Native ambient mass spectrometry" funded by a Wellcome Trust Discovery Award jointly awarded to Professor Iain Styles at Queen's University Belfast and Professor Helen Cooper at the University of Birmingham. The project will develop new computational and experimental technologies to detect, identify, and image intact, folded (ie native) proteins and protein complexes directly from biological tissue samples using state of the art mass spectrometry imaging techniques coupled with innovative new computational analysis methods to identify, map, and structurally characterise proteins, protein complexes, and protein assemblies without any prior knowledge of the proteins involved. The outcomes will be new tools that have the potential to revolutionise our understanding of human health, and we will demonstrate the technology's potential in the key application areas of molecular pathology and drug discovery.

The successful applicant will develop new computational methods for data integration and image fusion to integrate the unique data produced by the novel experimental methods with complementary optical microscopy data and build high resolution 3D maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction, and will collaborate closely with the experimental team in Birmingham, including regular visits.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the essential criteria, which includes:

  • Have, or be about to obtain, a PhD in Computer Science or other computationally intensive discipline.
  • Have a proven track record of developing novel computational methods to solve research problems.
  • Have experience of conducting high-quality research in machine learning, computer vision, artificial intelligence or related areas.
  • Have demonstrated that they can communicate to a range of audiences, both in writing and orally.
  • Have strong all-round skills in computing, programming, and mathematics.

Desirable criteria:

  • Experience of developing and applying their skills to biological imaging research.
  • Experience of working on interdisciplinary projects.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

What we offer:

Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website.

Equality, Diversity and Inclusion:

Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website.

Researcher employer: Akatech

Queen's University Belfast is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of research. With a strong commitment to employee wellbeing, the university provides generous benefits including up to 8.4 weeks of holiday, flexible working options, and extensive professional development opportunities. Located in the heart of Belfast, employees can enjoy a supportive environment that values diversity and inclusion, making it an ideal place for researchers looking to make a meaningful impact in their field.
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Contact Detail:

Akatech Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Researcher

✨Tip Number 1

Network like a pro! Reach out to current researchers or alumni from Queen's University Belfast. A friendly chat can give you insider info about the role and might even lead to a referral.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning and computer vision, as well as how you can apply these to the exciting research at Queen's.

✨Tip Number 3

Showcase your communication skills! Practice explaining complex concepts in simple terms. This will help you connect with a range of audiences during your interview.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details about the role and benefits there.

We think you need these skills to ace Researcher

Computational Methods Development
Machine Learning
Computer Vision
Artificial Intelligence
Data Integration
Image Fusion
Optical Microscopy
High-Quality Research
Programming Skills
Mathematics
Communication Skills
Interdisciplinary Collaboration
Biological Imaging Research

Some tips for your application 🫑

Show Off Your Skills: Make sure to highlight your PhD and any relevant experience in computational methods. We want to see how you've tackled research problems before, so don’t hold back on showcasing your achievements!

Tailor Your Application: Read through the job description carefully and align your application with the essential and desirable criteria. We’re looking for specific examples that demonstrate your skills in machine learning and computer vision, so make it personal!

Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it reaches us directly. Plus, you’ll find more info about the role and our awesome benefits package there!

How to prepare for a job interview at Akatech

✨Know Your Research Inside Out

Make sure you thoroughly understand the research project and its objectives. Familiarise yourself with the techniques mentioned, like mass spectrometry imaging and computational methods. This will not only help you answer questions confidently but also show your genuine interest in the role.

✨Showcase Your Technical Skills

Prepare to discuss your experience with machine learning, computer vision, and programming. Bring examples of past projects where you've developed novel computational methods. Being able to articulate your technical skills clearly will impress the interviewers.

✨Communicate Effectively

Practice explaining complex concepts in simple terms. Since the role involves collaboration with various teams, demonstrating your ability to communicate with different audiences is crucial. Consider preparing a brief presentation on a relevant topic to showcase this skill.

✨Highlight Interdisciplinary Experience

If you have worked on interdisciplinary projects, be sure to mention them. Discuss how your diverse background can contribute to the research team's goals. This will show that you can adapt and thrive in a collaborative environment, which is key for this position.

Researcher
Akatech
Location: Belfast

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