Computational Scientist

About Simreka

Simreka 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 Overview

Simreka 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 Responsibilities

• Develop, implement, and validate computational models for chemical and process engineering systems
• Apply first-principles modeling, numerical methods, and simulation techniques to real-world industrial problems
• Design and optimize process simulations, including steady-state and dynamic models
• Collaborate with software developers and domain experts to integrate models into digital platforms and tools
• Analyze experimental, plant, or simulation data to support model calibration and validation
• Document methodologies, assumptions, and results for internal teams and external stakeholders
• Contribute to continuous improvement of Simreka’s modeling frameworks and computational workflows

Required Qualifications

• Master’s, or PhD in Chemical Engineering, Process Engineering, or a closely related field
• Strong understanding of transport phenomena, thermodynamics, reaction engineering, and process systems
• Experience with computational modeling and simulation tools
• Proficiency in at least one programming or scripting language (e.g., Python, MATLAB, C++, or similar)
• Ability to translate engineering problems into mathematical and computational formulations

Preferred / Advantageous Skills

• Experience in data science, machine learning, or AI techniques applied to engineering problems
• Familiarity with model-based optimization, surrogate modeling, or hybrid physics–data models
• Knowledge of scientific computing, numerical solvers, or high-performance computing
• Experience working with industrial process data and life cycle assessment
• Strong communication skills and ability to work in multidisciplinary teams

What We Offer

• High degree of autonomy to define and implement things your way
• Challenging long-term personal and team objectives
• Opportunity to have a huge business and social impact
• An accelerated and multidimensional personal growth opportunity
• Cross-disciplinary projects and tasks
• A customer-centric company culture with a flat hierarchy and open communication
• Salary and compensation in line with experience and performance