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Die Beschreibung: Computational Scientist als Startup Full-Time Job

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