# AI CV–Job Match Assessment ## 1. EXECUTIVE VERDICT ### Overall Match: **PARTIAL MATCH** The candidate has a **strong research and computational-engineering profile**, including a relevant PhD, substantial numerical modelling experience, scientific computing/HPC, code development, publications, research grants, conference activity, teaching and student supervision. The CV therefore aligns well with the **general research-fellow expectations** of the position. However, the central technical requirement is much narrower: the role specifically requires **experience running CFD simulations and evaluating their results**. The CV does not clearly demonstrate this. The candidate's strongest computational background is in **finite element methods, computational mechanics, wave scattering, inverse problems and physics-informed ML**, rather than conventional CFD of fluid/engine systems. The position is also situated in the **Rolls-Royce ThermoFluid Systems UTC**, working on modelling internal air systems for gas-turbine engines, with code development and engine simulations. CFD is explicitly essential, while Fortran and turbomachinery knowledge are desirable. ### Practical recommendation **Clarify important evidence before applying.** If the candidate has genuinely conducted CFD simulations—particularly fluid-flow, turbomachinery, aero/thermofluid or engine-related CFD—that experience should be established before applying. If they have not, this is a meaningful technical gap despite an otherwise impressive research profile. --- # 2. MATCH SCORECARD | Area | Assessment | Why | | -------------------------- | ----------- | ------------------------------------------------------------------------------------------------------------------------- | | **Core experience** | **Partial** | Excellent computational research background, but direct CFD experience is not established. | | **Responsibilities** | **Strong** | Research ownership, publications, presentations, grants, collaboration and supervision are all well supported. | | **Qualifications** | **Strong** | PhD in Engineering from Cambridge directly satisfies the higher research-degree requirement. | | **Skills** | **Good** | Strong Python, C/C++, MATLAB, FEniCS, PETSc, MPI/OpenMP and scientific computing; Fortran is not listed. | | **Leadership / seniority** | **Strong** | Lecturer, PI on two grants, research programme ownership, conference organisation and MSc supervision. | | **Domain knowledge** | **Partial** | Strong computational mechanics, but gas-turbine thermofluids/turbomachinery are not demonstrated. | | **Evidence quality** | **Strong** | The CV provides substantial concrete evidence through projects, publications, grants, presentations and technical skills. | --- # 3. WHAT THIS EMPLOYER IS REALLY LOOKING FOR The job description reveals roughly **six priorities**. ### 1. Direct CFD capability — **critical** This is the clearest technical requirement. The person specification explicitly states: > “Experience of running CFD simulations and evaluating results” and marks it **Essential**. This is the biggest issue for the candidate. ### 2. Computational modelling and code development The researcher will build large-scale models of engine components and systems and develop models and CFD-code capabilities. The candidate has strong evidence of computational model and solver development, although their demonstrated application area is different. ### 3. Relevant research-level independence The role expects someone capable of taking responsibility for parts of projects, exercising academic judgement, interpreting results and producing original research. This is a major strength for the candidate. ### 4. Gas-turbine / thermofluid context The research centre models **internal air systems for gas-turbine engines**, involving engine simulations and code development. The candidate's CV does not establish this domain knowledge. ### 5. Research communication and publication The researcher must publish results, attend conferences and periodically present project results to Rolls-Royce and academic partners. The candidate is particularly strong here. ### 6. Teaching / supervision and collaboration The generic role includes student supervision/demonstrating and potentially supervision of junior researchers. The CV provides strong evidence through university teaching and MSc/undergraduate supervision. --- # 4. WHERE YOU MATCH STRONGLY ## A. Research independence and academic capability **Requirement:** The role requires someone capable of conducting independent research, interpreting results, developing methods and exercising academic judgement. **Evidence:** The candidate is a Lecturer in Mathematical Sciences with an independent research programme and has served as PI on two external research grants. Their CV also describes multiple original computational research programmes. **Why this is strong:** This is considerably more evidence than simply having completed a PhD. The candidate has demonstrated research ownership, grant leadership, publication and development of new computational methods. **Assessment: STRONG MATCH** --- ## B. Computational modelling and scientific computing **Requirement:** The role involves building large-scale models and developing computational capabilities. **Evidence:** The candidate developed scalable multigrid finite-element solvers for complex meshes and has experience with FEniCS, PETSc, MPI, OpenMP, Python, C/C++, NumPy and SciPy. **Why this is strong:** The candidate clearly understands computational modelling at a research level, including numerical methods, parallel computing and solver development. The important caveat is that **computational modelling is not synonymous with CFD**. **Assessment: STRONG transferable match** --- ## C. Research outputs and communication **Requirement:** The role expects publications, conference participation and presentation of research results. **Evidence:** The CV reports nine peer-reviewed publications, conference presentations, conference organisation and research grants. **Why this is strong:** This candidate appears very comfortable operating in an academic research environment and communicating technical work. **Assessment: STRONG MATCH** --- ## D. Teaching and student supervision **Requirement:** The role may involve student supervision and demonstrating, with additional supervision of PhD projects in the specific post. **Evidence:** The candidate teaches calculus, optimisation and C/C++ programming and has supervised MSc students. They also have several years of undergraduate supervision and demonstrating experience at Cambridge. **Why this is strong:** This is unusually well aligned with the academic-support component of the position. **Assessment: STRONG MATCH** --- ## E. Research programming and code development **Requirement:** CFD code development and programming in Fortran is desirable, while the broader role involves developing models and CFD-code capabilities. **Evidence:** The candidate has developed finite-element solvers and contributed to FEniCS and PETSc. Their technical skills include Python, C/C++, MATLAB and HPC tools. **Why this matters:** Even though it does not establish CFD/Fortran experience, it demonstrates the type of numerical programming capability that could potentially transfer to computational engineering work. **Assessment: GOOD TRANSFERABLE MATCH** --- # 5. WHERE THE MATCH IS PARTIAL ## CFD simulation and evaluation **What the job requires:** Actual experience running CFD simulations and evaluating their results is explicitly **essential**. **What the candidate demonstrates:** The candidate has extensive numerical simulation/modelling experience involving finite-element methods, wave equations, inverse scattering and computational mechanics. **What remains missing:** The CV does not identify: * CFD simulations; * Navier–Stokes-based fluid simulations; * specific CFD packages; * computational fluid-flow studies; * engine/thermofluid simulations; * CFD post-processing/evaluation. This is not simply a keyword problem. The job's research environment is explicitly centred on internal gas-turbine air systems. **Significance: HIGH** This is the single issue most likely to determine whether the candidate is technically competitive. --- ## Gas-turbine / turbomachinery knowledge **What the job requires:** Understanding of basic turbomachinery principles is desirable. **What the candidate demonstrates:** The CV demonstrates computational mechanics and aeroacoustic-related research, including a grant involving “fluid-aeroacoustic coupling.” **What remains unclear:** There is no explicit evidence of: * turbomachinery; * gas turbines; * compressors; * turbines; * internal engine air systems; * thermofluid engineering. **Significance: MEDIUM** Because this is marked desirable rather than essential, it is less damaging than the CFD issue. --- ## Fortran **What the job requires:** CFD code development and programming in Fortran is desirable. **What the candidate demonstrates:** Strong programming in Python, C/C++ and MATLAB, alongside scientific-computing/HPC technologies. **What remains unclear:** Fortran is not listed. **Significance: LOW–MEDIUM** The absence of Fortran alone should not deter the candidate, particularly given their demonstrated numerical software-development background. But it would be useful to establish whether they have any prior Fortran experience. --- # 6. BIGGEST GAPS AND RISKS | Issue | Classification | Importance | | -------------------------------------------- | ------------------------------------- | ------------- | | Direct CFD simulation experience | **UNDER-EVIDENCED / potentially GAP** | **Very high** | | Gas-turbine / thermofluid systems | **UNCLEAR** | High | | Turbomachinery knowledge | **UNCLEAR** | Medium | | Fortran programming | **GAP in available evidence** | Medium | | Engine-component/system modelling | **TRANSFERABLE** | High | | Experience presenting to industrial partners | **UNCLEAR** | Medium | ### Most important distinction The candidate should **not describe finite-element, wave-equation or inverse-scattering work as CFD** unless they actually performed CFD. The CV provides excellent computational evidence, but calling that CFD without supporting evidence would create an avoidable credibility problem. --- # 7. HIDDEN STRENGTHS ## 1. The candidate is much more research-independent than the minimum profile suggests The role asks for someone capable of taking responsibility for parts of a research project and providing original academic judgement. The candidate already has: * a PhD; * a Lecturer position; * independent research; * two grants as PI; * nine peer-reviewed publications; * research-software contributions. That is a very strong research foundation. --- ## 2. Numerical solver development is a potentially valuable bridge The candidate did not merely use computational software; they developed scalable multigrid finite-element solvers and contributed to major scientific-computing projects. That could be particularly valuable for a role involving **CFD code capabilities**, even though it does not substitute for the required CFD experience. --- ## 3. Fluid/aeroacoustic work may be more relevant than the CV makes obvious The research-grant section refers to: > “fluid-aeroacoustic coupling” and acoustic wave scattering. This is potentially useful contextual evidence for an engineering research group working around gas-turbine systems. However, it should **not be converted into a claim of CFD experience** without additional evidence. --- ## 4. Strong PhD/project fit at the computational-engineering level The PhD involved finite-element methods for engineering systems and parallel finite-element solvers. This makes the candidate a credible computational-engineering researcher rather than an applicant attempting to enter engineering research from an unrelated field. --- # 8. EVIDENCE THAT NEEDS STRENGTHENING The highest-value clarification is very specific: ### 1. Establish whether the candidate has actually performed CFD If yes, the CV needs evidence such as: * what physical systems were modelled; * which CFD methodology was used; * which solver/software was used; * whether simulations were independently designed/run; * what quantities/results were evaluated; * whether the work involved validation or comparison with experimental data; * scale/complexity of the simulations. This could materially change the assessment. ### 2. Clarify the fluid-aeroacoustic work The grant description is potentially relevant, but currently too brief. The key question is whether this involved **actual computational fluid dynamics**, or whether the work was primarily acoustic/PDE/numerical modelling. ### 3. Establish any turbomachinery exposure Even coursework, research collaboration, industrial projects or simulations involving compressors, turbines or gas-turbine flows could be relevant if genuinely performed. ### 4. Establish any Fortran experience If the candidate has used Fortran but omitted it from the CV, that is worth recovering. --- # 9. QUESTIONS THAT COULD CHANGE THE ASSESSMENT 1. **Have you personally run CFD simulations involving fluid flow, rather than only finite-element, acoustic or wave-equation simulations? If yes, what system did you model and what CFD method or software did you use?** 2. **What exactly did your “fluid-aeroacoustic coupling” research involve? Did you solve a fluid-flow problem using CFD, and if so, what equations, solver and computational setup were used?** 3. **Have you worked on gas turbines, compressors, turbines, propulsion, turbomachinery or internal engine flows in any research, academic or industrial capacity?** 4. **Have you ever developed or modified CFD code, even if the work was not primarily written in Fortran? What parts of the code did you own?** 5. **Do you have any Fortran programming experience that is not currently listed on the CV?** 6. **Have you evaluated CFD or simulation results against experimental, benchmark or validation data? If so, what did you evaluate and what conclusions did you draw?** 7. **Have you presented technical computational results to industrial collaborators or external project partners, rather than only at academic conferences?** These questions are particularly important because a positive answer to questions 1–4 could move the assessment materially upward. --- # 10. WHAT TO EMPHASIZE IF YOU APPLY If the underlying evidence supports it, the strongest themes would be: ### 1. Advanced computational engineering The candidate has deep experience in numerical methods, finite-element modelling, scalable solvers and HPC rather than simply general programming. ### 2. Research independence PI experience, an independent research programme and multiple research projects demonstrate the ability to own research rather than merely execute assigned tasks. ### 3. Scientific software development FEniCS/PETSc contributions and solver development provide strong evidence of computational code-development capability. ### 4. Research communication Publications, presentations and conference organisation are exceptionally well supported. ### 5. Student supervision and academic collaboration Teaching and supervision experience aligns well with the faculty and PhD-supervision components of the position. ### 6. Potential relevance to aerospace/engineering research The CV's computational mechanics and fluid-aeroacoustic work can provide a credible bridge to the engineering context, **provided the application does not overstate it as turbomachinery or CFD experience**. --- # 11. WHAT NOT TO OVERCLAIM The most important caution is: > **The available evidence establishes advanced computational modelling and numerical simulation experience, but it does not currently establish direct CFD experience.** Similarly: > **The CV supports computational mechanics and fluid/aeroacoustic research, but does not currently establish direct gas-turbine or turbomachinery expertise.** And: > **The candidate clearly has substantial scientific programming experience, but the CV does not establish Fortran programming.** These distinctions matter because the employer has explicitly labelled CFD experience **essential**, while Fortran and turbomachinery are only **desirable**. --- # 12. FINAL ASSESSMENT ### Strongest reason to apply The candidate is a **highly credible computational research scientist** with a relevant PhD, independent research experience, publications, grant leadership, scientific software development, HPC expertise and teaching/supervision experience. On the general research-fellow criteria, the profile is strong. ### Biggest concern The role is not simply a generic computational-engineering research position. It sits within a **Rolls-Royce ThermoFluid Systems UTC focused on gas-turbine internal air systems**, and **CFD simulation experience is explicitly essential**. ### Most important thing to clarify Determine whether the candidate has genuine, demonstrable CFD experience that is simply missing from this CV. If yes, the current CV significantly understates the candidate's suitability and the match could become **GOOD MATCH** or potentially **STRONG MATCH**, depending on the depth and relevance of that CFD work. If no, the candidate remains a strong computational researcher but has a **material technical gap against the central requirement**. ## Final recommendation **CLARIFY BEFORE APPLYING** The candidate should not be discouraged by the match overall. The profile is strong enough to make the application potentially worthwhile, but the **CFD question needs to be resolved first**. The available documents alone do not support claiming that the candidate meets that essential requirement.