Curriculum Vitae Mathematician in United Kingdom Birmingham – Free Word Template Download with AI

Name: Dr. Emily Thompson
Email: [email protected]
Phone: +44 123 456 7890
Address: Birmingham, United Kingdom
LinkedIn: linkedin.com/in/emilythompson-math

A dedicated Mathematician with over a decade of experience in academic research, teaching, and industry collaboration. Based in the vibrant academic hub of United Kingdom Birmingham, I specialize in applied mathematics and computational modeling. My work focuses on solving complex real-world problems through rigorous mathematical analysis and innovative algorithmic solutions. As an active member of the UK mathematical community, I strive to advance knowledge while fostering interdisciplinary partnerships in Birmingham's thriving research environment.

• PhD in Applied Mathematics, University of Birmingham, United Kingdom (2015)
  • Thesis: "Numerical Methods for Solving Partial Differential Equations in Environmental Modeling"
  • Research Focus: Finite element analysis, computational fluid dynamics, and climate modeling
• MSc in Mathematical Sciences, University of Manchester, United Kingdom (2011)
• BSc in Mathematics, University of Warwick, United Kingdom (2008)

Senior Lecturer in Applied Mathematics

University of Birmingham, United Kingdom Birmingham | 2019–Present
- Lead research projects on mathematical modeling for urban sustainability, funded by the UK Research and Innovation (UKRI).
- Teach core modules in numerical analysis and differential equations to undergraduate and postgraduate students.
- Collaborate with local industries in Birmingham to develop predictive models for energy efficiency in smart cities.
- Supervise PhD students specializing in mathematical optimization and data science.

Research Fellow

University of Birmingham, United Kingdom Birmingham | 2015–2019
- Investigated mathematical frameworks for climate change mitigation strategies, published in leading journals.
- Partnered with the Birmingham Institute of Energy and Materials to design scalable algorithms for renewable energy systems.
- Organized workshops on computational mathematics for UK-based researchers and industry professionals.

Postdoctoral Researcher

University of Oxford, United Kingdom | 2012–2015
- Conducted research on stochastic processes in financial mathematics, with applications to risk assessment.
- Authored papers on probability theory and its intersections with machine learning algorithms.

• Computational Mathematics: Development of high-performance algorithms for large-scale simulations.
• Data Science: Application of statistical models to analyze complex datasets from urban environments in the United Kingdom Birmingham region.
• Multidisciplinary Collaboration: Working with engineers, environmental scientists, and policymakers to address challenges in Birmingham's infrastructure and sustainability goals.
• Educational Innovation: Designing interactive curricula for mathematics education at the university level.

• Thompson, E. et al. (2023). "Optimizing Urban Mobility Through Mathematical Modeling: A Case Study in Birmingham." *Journal of Computational and Applied Mathematics*, 410, 113-125. DOI: 10.1016/j.cam.2023.113.
• Thompson, E. (2022). "Stochastic Differential Equations in Climate Modeling." *SIAM Review*, 64(3), 557-589. DOI: 10.1137/20M136749X.
• Thompson, E. et al. (2021). "Finite Element Analysis for Coastal Flood Risk Assessment." *International Journal for Numerical Methods in Engineering*, 125(8), 3456-3478. DOI: 10.1002/nme.6789.

• Member, London Mathematical Society (LMS)
• Member, Institute of Mathematics and its Applications (IMA)
• Mentor, Birmingham Researcher Development Programme

• UKRI Fellowship Grant (2018) – £500,000 for research on sustainable urban planning in Birmingham.
• Outstanding Teaching Award, University of Birmingham (2021)
• Pearson Prize for Mathematics Education (2019) – Recognized for innovative teaching methods in applied mathematics.

• Technical Skills: Python, MATLAB, R, LaTeX, Finite Element Method (FEM), C++
• Data Analysis: Machine learning algorithms, statistical modeling, data visualization (Tableau)
• Soft Skills: Public speaking, academic writing, team leadership

• English – Native speaker
• German – Intermediate (C1 level)

Available upon request.

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