Computational Scientist

About SimrekaSimreka is a fast-growing deep-tech startup revolutionizing chemical and material innovation through its AI-powered simulation platform.As a process engineer, you will play a key role in the further development of the simulation platform and delivery to customers who are manufacturing companies in a variety of domains. You will succeed in this role if you are a motivated individual driven by challenges and can bridge the gap between business requirements, mathematics, and software development to deliver results together with the whole team.Role OverviewSimreka is seeking a Computational Scientist with a strong background in chemical and process engineering to develop, apply, and enhance physics-based and data-driven models for industrial applications. The role involves working at the intersection of process modeling, numerical methods, and advanced analytics, supporting the development of next-generation simulation and digital engineering solutions.Key ResponsibilitiesDevelop, implement, and validate computational models for chemical and process engineering systemsApply first-principles modeling, numerical methods, and simulation techniques to real-world industrial problemsDesign and optimize process simulations, including steady-state and dynamic modelsCollaborate with software developers and domain experts to integrate models into digital platforms and toolsAnalyze experimental, plant, or simulation data to support model calibration and validationDocument methodologies, assumptions, and results for internal teams and external stakeholdersContribute to continuous improvement of Simreka’s modeling frameworks and computational workflowsRequired QualificationsMaster’s, or PhD in Chemical Engineering, Process Engineering, or a closely related fieldStrong understanding of transport phenomena, thermodynamics, reaction engineering, and process systemsExperience with computational modeling and simulation toolsProficiency in at least one programming or scripting language (e.g., Python, MATLAB, C++, or similar)Ability to translate engineering problems into mathematical and computational formulationsPreferred / Advantageous SkillsExperience in data science, machine learning, or AI techniques applied to engineering problemsFamiliarity with model-based optimization, surrogate modeling, or hybrid physics–data modelsKnowledge of scientific computing, numerical solvers, or high-performance computingExperience working with industrial process data and life cycle assessmentStrong communication skills and ability to work in multidisciplinary teamsWhat We OfferHigh degree of autonomy to define and implement things your wayChallenging long-term personal and team objectivesOpportunity to have a huge business and social impactAn accelerated and multidimensional personal growth opportunityCross-disciplinary projects and tasksA customer-centric company culture with a flat hierarchy and open communicationSalary and compensation in line with experience and performance

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