Bachelor's & Master's Thesis Opportunities - AI, Medical Imaging & Clinical Software
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Position Overview & Specifications
About Us:
Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions. Our mission is to revolutionize healthcare by delivering impactful, user-friendly tools that support healthcare professionals in diagnosing, treating, and monitoring patients.
Why Join Us?
Contribute to Impactful Work: Be a part of a startup that is focused on making a real difference in the healthcare field.
Innovative Environment: Collaborate with a passionate team, exploring the latest technologies and ideas.
Real Clinical Impact: Work on tools used by physicians at leading medical centers.
About the Thesis Program:
We're open to Bachelor's and Master's students who want to build at the intersection of AI, software, medical imaging, and clinical oncology. We don't have fixed thesis topics on a shelf. We talk, understand your profile, and shape something meaningful together.
Possible directions:
Next-generation research interfaces with LLMs: tools that let clinicians query, summarize, and reason over multimodal medical data.
Front-end or back-end tools for medical imaging workflows: the software layer radiologists and nuclear medicine physicians actually use.
Deep learning for segmentation or classification: applied work on PSMA PET/CT, SSTR imaging, and related modalities, with real clinical datasets.
Who Should Apply?
Currently enrolled in a Bachelor's or Master's program in Computer Science, Biomedical Engineering, Medical Informatics, AI/ML, or a related field
Self-directed and able to drive a research or engineering question independently
Excited about applied clinical AI - prior exposure to medical imaging or oncology is a plus, not a requirement
What We Offer:
A dynamic, fast-paced startup environment
The potential to work on innovative projects in the MedTech space
Flexible work arrangements with a focus on collaboration and results
How to Apply:
If you are interested in joining our journey, submit your application and CV. While we may not have an immediate role for you, we will review your information and reach out when relevant opportunities arise.
Join Nucs AI and help shape the future of personalized cancer care!
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Engineering
Based on transatlantic hiring benchmarks for Bachelor's & Master's Thesis Opportunities - AI, Medical Imaging & Clinical Software roles across Nucs AI's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Engineering.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £43,304 - £61,410 bracket, including retirement vesting and health parity.
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