Senior Scientist | Mathematical & Physics Signals Modeling | Experimental Interface | Deep Tech[...]

iLoF; Porto; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual performance bonus

Flexible working hours

Private health insurance

Creative startup environment

Resumo da oferta

iLoF, a deep tech health startup based in Porto, is seeking a Senior Scientist specializing in mathematical and physics signals modeling. The ideal candidate will develop mathematical models to enhance personalized medicine and work with experimental teams to translate theory into practice.

Successful applicants should have strong expertise in theoretical physics, a PhD or MSc in a related field, and experience in interdisciplinary collaborations. Benefits include an annual performance bonus and a flexible remote work culture.

Qualificações

• Strong expertise in theoretical and computational physics with real-world experiment application.
• Proven experience working at the interface of theory and experiment.
• Ability to develop and implement physical models and computational frameworks.

Responsabilidades

• Develop and refine mathematical models for complex physical systems.
• Work closely with experimental teams translating theoretical predictions.
• Contribute to research publications, patents, and presentations.

Conhecimentos

Theoretical physics

Computational modeling

Numerical modeling

Data analysis using Python

Communication skills

Formação académica

PhD or MSc in Physics, Applied Mathematics, Theoretical Physics, Physical Chemistry

Ferramentas

Python

Julia

Descrição da oferta de emprego

Senior Scientist | Mathematical & Physics Signals Modeling | Experimental Interface | Deep Tech | Healthtech Startup

• Full-time

We’re looking for an exceptional Senior Scientist with expertise in theoretical and computational modeling to join our research team on our journey to revolutionize personalized medicine. If you’re a physicist, mathematician, or physical chemist who loves bridging the gap between theory and experiment, we want to hear from you!

iLoF is building an AI‑powered breakthrough platform capable of transforming precision medicine. We focus on Alzheimer’s and other major diseases, armed with a proprietary optical fingerprint library of disease biomarkers. We are based in Oxford and Porto.

About Your Role

Develop and refine mathematical models for complex physical systems targeting personalized medicine, ensuring their applicability to real‑world experiments.

Work closely with experimental teams, translating theoretical predictions into testable hypotheses and guiding data collection and analysis.

Apply analytical and computational techniques, including simulations and numerical modeling, to study physical phenomena.

Utilize statistical physics, quantum mechanics, and applied mathematics to extract meaningful insights from experimental data.

Assist in analyzing and interpreting experimental data, ensuring that theoretical expectations align with practical feasibility.

Stay up to date with the latest advancements in physics, computational modeling, and spectroscopy for clinical applications.

Communicate findings effectively across disciplines, ensuring alignment between theoretical and experimental efforts.

Contribute to research publications, patents, and presentations at leading conferences.

Qualifications

• Strong expertise in theoretical and computational physics or applied mathematics, with a demonstrated ability to apply these concepts to real‑world experiments in an interdisciplinary setting.
• Proven experience working at the interface of theory and experiment, collaborating with experimentalists, interdisciplinary scientists and engineers.
• Proficiency in numerical modeling, simulations, and data analysis using Python, Julia, or similar tools.
• Ability to develop and implement physical models, differential equations, and computational frameworks to solve complex problems.
• Experience with data‑driven approaches, signal processing, or machine learning for scientific applications is a plus.
• A deep curiosity for solving interdisciplinary challenges, with an innovative and problem‑solving mindset.
• Excellent communication skills, capable of translating complex theoretical concepts into practical applications and to non‑specialists in a clear engaging way.
• Proven track record of scientific publications in peer‑reviewed journals or major scientific conferences.
• PhD or MSc in Physics, Applied Mathematics, Theoretical Physics, Physical Chemistry, Mathematics, or a related field. Exceptional candidates with a Master’s degree and extensive research experience will also be considered.
• +3 years of experience in academia or industry, working on modelling and simulations with experimental applications.
• Experience supervising junior researchers is welcome but not required.

Benefits

• Annual performance bonus
• Flexible working hours and strong remote work culture
• Creative, fast‑paced startup environment
• Weekly happy hours, free coffee and snacks
• Private health insurance

If that sounds like a fit for you, click the apply button and join us.