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Ph.D. Chemical Polymer & Process Modeling Materials Science

Location:
Cuernavaca, Morelos, 62440, Mexico
Salary:
$38,000 a $45,000 MXN
Posted:
May 24, 2025

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Resume:

David Ochoa Ressndiz

*******@*****.*** +52-221-***-**** https://github.com/dochoar

Cuernavaca, Morelos, México

Professional Summary

Highly motivated researcher with a Ph.D. in Chemical Sciences and strong expertise in thermochemistry, materials modeling, and process simulation. Actively seeking industrial opportunities to apply my technical and analytical skills in polymer and material science, aiming to transition into the industrial sector and contribute to innovative product and process development. Available to start work immediately.

Education

Ph.D. in Chemical Sciences

Benemérita Universidad Autónoma de Puebla 2021 – Aug 2025 (expected) Thesis: Evaluation of G4 composite methods for theoretical enthalpy calculations

• Developed and validated computational models for molecular thermochemistry using high-accuracy quantum chemistry methods.

• Focus on polyatomic molecular systems, reaction mechanisms, and energy surfaces relevant to materials chemistry.

M.Sc. in Engineering Sciences

Instituto Tecnológico de Zacatepec 2016 – 2018

Thesis: Experimental and theoretical study on dissociation mechanisms in organic solvents

• Applied polymer-compatible spectroscopic and thermodynamic techniques.

• Combined experimental and computational approaches to validate degradation mechanisms.

B.Sc. in Chemical Engineering (with honors)

Instituto Tecnológico de Zacatepec 2009 – 2015

Thesis: Intermolecular forces in clathrate hydrate cavities

Technical Skills

• Polymer/Material Sciences: Experience in studying molecular interactions, reaction pathways, thermodynamics and decomposition of complex molecules, applicable to polymeric material performance and stability.

• Process Engineering: Skilled in mechanistic modeling, reaction optimization, and process simulation for chemical transformations.

• Software & Data Analysis: Python, MySQL, Git, Bash, R, Matplotlib, Seaborn.

• Lab Techniques: Mass spectrometry, UV-VIS spectroscopy, velocity mapping imaging, FTIR spectroscopy, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), tensile testing, contact angle measurement, rheometry, and polymer extrusion characterization methods.

Industry-Applicable Experience

Research Intern – University of Oxford (2018)

• Conducted experimental mass spectrometry studies on molecular fragmentation.

• Experience with photoinduced reaction dynamics and structure-function analysis of organic systems.

Project Lead – National Laboratory of Supercomputing (2024)

• Simulated triglyceride decomposition, modeling high-temperature process behavior analogous to polymer degradation.

• Managed computation and reporting under GxP standards. Collaborative Research – UAEM (2014–Present)

• Constructed potential energy surfaces for gas-phase reactions.

• Developed ab initio models for clathrate hydrates and halogenated compounds. Publications in High-Impact Journals

• Ochoa-Resendiz, D., et al. Journal of Chemical Physics (2022): Halogen bonding and rotational disorder in chlorine clathrate hydrate cages.

• Guevara-Vela, J.M., Ochoa-Resendiz, D., et al. ChemPhysChem (2018): Halogen bonds in clathrate cages: A real space perspective.

• Ochoa-Resendiz, D., et al. Journal of Chemical Physics (2016): Evidence of halogen bonds in clathrate cages.

• Quiroz-Cardoso, O., Ochoa-Resendiz, D., et al. Physical Chemistry Chemical Physics (in progress): Photodissociation Dynamics of Methyl Acrylate.

• Ramos, F., Ochoa-Resendiz, D., et al. Journal of Thermodynamics Chemistry

(accepted): Thermochemical properties of 2- and 3-Thiophenemethanol.

• Ochoa-Resendiz, D., et al. Journal of Molecular Modeling (expected): Theoretical insights into the gas-phase decomposition of triglyceride substitutes. Leadership and Supervision

• Directed and co-supervised 3 undergraduate theses in Chemical Engineering (2022– 2024).

• Provided mentorship and technical guidance in theoretical and computational research projects.

Key Strengths

• Strong data analysis and problem-solving skills in materials research.

• Experienced in experiment design, computational validation, and technical reporting.

• Proven ability to mentor junior researchers and lead small research teams.

• Excellent command of scientific documentation and industry-standard compliance.

Languages

• Spanish: Native

• English: Advanced (B2+) – Able to write and communicate technical material fluently.



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