8 Openmodelica Jobs

The ENERG Lab at the Department of Applied Mechanics, IIT Madras, is seeking a highly motivated researcher to contribute to cutting-edge work in heat pumps and thermal energy systems. The successful candidate will collaborate closely with our team of experts and work on innovative, application-oriented research projects. Responsibilities Design, develop, and perform simulations and experiments on energy systems. Conduct original research in integrated system design and industrial energy systems, such as heat pumps, chillers, and thermal energy storage systems. Support preparation of research reports, publications, and presentations. Design, develop, and perform simulations and experiments on energy systems. Conduct original research in integrated system design and industrial energy systems, such as heat pumps, chillers, and thermal energy storage systems. Support preparation of research reports, publications, and presentations. Qualifications B.Tech/M.Tech in Mechanical Engineering or related fields (Energy Systems, Thermal Engineering) with a strong commitment to high-quality research output. Demonstrated interest in one or more of the following: Energy systems modeling, Design of experiments, HVAC systems, Thermo-fluids, heat transfer, or fluid mechanics Proficiency in scientific computing (e.g., Python, MATLAB, R). Experience with simulation tools such as EES, DWSIM, TRNSYS, OpenModelica, or similar. CFD experience (ANSYS Fluent, OpenFOAM) is a plus. Strong communication skills and ability to work in a collaborative research environment. Proven presentation, technical writing, and project management skills. B.Tech/M.Tech in Mechanical Engineering or related fields (Energy Systems, Thermal Engineering) with a strong commitment to high-quality research output. Demonstrated interest in one or more of the following: Energy systems modeling, Design of experiments, HVAC systems, Thermo-fluids, heat transfer, or fluid mechanics Proficiency in scientific computing (e.g., Python, MATLAB, R). Experience with simulation tools such as EES, DWSIM, TRNSYS, OpenModelica, or similar. CFD experience (ANSYS Fluent, OpenFOAM) is a plus. Strong communication skills and ability to work in a collaborative research environment. Proven presentation, technical writing, and project management skills. Benefits Competitive salary. Access to state-of-the-art research facilities and resources. Opportunities for professional development, mentorship, and networking. Vibrant and inclusive research community. Appointment Term 1 year (renewable based on performance). Application Procedure Interested candidates should send their motivation letter and CV (combined into a single PDF, including publication list or project reports if available) to ic41340@imail.iitm.ac.in with the subject: “Application for the Open Position of Researcher at ENERG Lab” by 31st August 2025 . Only shortlisted candidates will be contacted.

Company Profile: Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us. Job Description: This engineer designs, fabricates, modifies and evaluates complex mechanical and electro-mechanical components, sub-systems and systems. The person in this position may also provide work leadership for lower level employees. Duties include, but are not limited to: Develop high-fidelity digital twin models of refrigeration systems using Modelica and GT-SUITE. Simulate and analyze thermal, fluid, and control system behaviors under various operating conditions. Collaborate with cross-functional teams including mechanical, controls, and software engineers to integrate simulation models into product development workflows. Validate simulation models against experimental or field data and refine models for accuracy and performance. Support system-level optimization, scaling models, diagnostics, and predictive maintenance strategies using digital twin insights. Document methodologies, assumptions, and results for internal and external stakeholders. Qualifications: Requires a bachelor's degree in engineering. Requires at least 5 years related experience. Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Engineering or a related field. Minimum 7 years of experience Modelica-based tools (e.g., Dymola, OpenModelica) or GT-SUITE . Proficiency in Refrigeration or HVAC systems (design and simulation) Strong understanding of thermodynamics, heat transfer, and fluid dynamics. Experience with system modeling, parameter estimation, and model validation. Familiarity with control systems and embedded software integration is a plus. Excellent problem-solving, communication, and documentation skills. Additional preferred skills: Knowledge of scripting languages (e.g., Python, MATLAB) for automation and data analysis. Exposure to cloud-based simulation platforms or IoT integration for digital twins.

Company Profile Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us. Job Description This engineer designs, fabricates, modifies and evaluates complex mechanical and electro-mechanical components, sub-systems and systems. The person in this position may also provide work leadership for lower level employees. Duties Include, But Are Not Limited To Develop high-fidelity digital twin models of refrigeration systems using Modelica and GT-SUITE. Simulate and analyze thermal, fluid, and control system behaviors under various operating conditions. Collaborate with cross-functional teams including mechanical, controls, and software engineers to integrate simulation models into product development workflows. Validate simulation models against experimental or field data and refine models for accuracy and performance. Support system-level optimization, scaling models, diagnostics, and predictive maintenance strategies using digital twin insights. Document methodologies, assumptions, and results for internal and external stakeholders. Qualifications Requires a bachelor's degree in engineering. Requires at least 5 years related experience. Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Engineering or a related field. Minimum 7 years of experience Modelica-based tools (e.g., Dymola, OpenModelica) or GT-SUITE. Proficiency in Refrigeration or HVAC systems (design and simulation) Strong understanding of thermodynamics, heat transfer, and fluid dynamics. Experience with system modeling, parameter estimation, and model validation. Familiarity with control systems and embedded software integration is a plus. Excellent problem-solving, communication, and documentation skills. Additional Preferred Skills Knowledge of scripting languages (e.g., Python, MATLAB) for automation and data analysis. Exposure to cloud-based simulation platforms or IoT integration for digital twins.

As a Software Engineer specializing in Simulations at Global Data Analytics, Technology in Maersk, you will play a crucial role in designing, developing, and scaling simulation systems that digitally replicate real-world environments, assets, and systems. Your primary focus will be on enabling predictive analysis, real-time monitoring, and scenario testing to support mission-critical decisions. This hands-on role is ideal for individuals passionate about complex systems, modeling real-world behavior, and building robust simulation engines or platforms. Your responsibilities will include designing and developing simulation engines, tools, and infrastructure to support digital twin applications. You will be tasked with building scalable software systems that accurately model physical, operational, and behavioral characteristics of real-world systems. Collaborating with domain experts to translate real-world systems into digital representations will be a key aspect of your role. Additionally, you will integrate simulation engines with real-time data sources for dynamic updates and predictive modeling, as well as develop and optimize algorithms for discrete-event simulation and agent-based modeling. To excel in this role, you must lead all aspects of the Software Development Lifecycle (SDLC) in alignment with Agile and IT craftsmanship principles. Constantly learning new technologies, mentoring teams, and driving a culture of research and implementation are essential components of this position. Writing secure, scalable, and clean code, along with conducting code reviews to ensure code quality, are critical responsibilities. Troubleshooting, debugging, and upgrading software and infrastructure within a DevOps culture will be central to your daily tasks. Proficiency in Python, C++, or Rust (with a preference for Python for data-driven simulations) is a foundational requirement. Experience with simulation frameworks such as SimPy, AnyLogic, Unity, Gazebo, or others is necessary. A strong understanding of system modeling, discrete event systems, continuous system dynamics, software design patterns, data structures, and algorithms is expected. While familiarity with IoT data pipelines, message brokers, multi-agent systems, reinforcement learning, optimization libraries, cloud platforms, and containerization is considered advantageous, it is not mandatory. Qualifications for this role include a Bachelor's or Master's degree in Computer Science, Engineering, Applied Math, or Physics, along with at least 5 years of experience in software engineering focusing on simulation, modeling, or complex systems. Effective communication skills, a structured and analytical mindset, excellent problem-solving abilities, self-motivation, and a collaborative spirit are highly valued traits for this position. If you are an individual who respects diverse opinions yet can drive decisions collaboratively, we encourage you to apply. Maersk values diversity and inclusivity. If you require any accommodations during the application or hiring process, please contact us at accommodationrequests@maersk.com.,

Develop high-fidelity digital twin models of refrigeration systems using system simulation tools like Modelica and GT-SUITE , Amesim or Simulink. Simulate and analyze thermal, fluid, and control system behaviors under various operating conditions. Collaborate with cross-functional teams including mechanical, controls, and software engineers to integrate simulation models into product development workflows. Validate simulation models against experimental or field data and refine models for accuracy and performance. Support system-level optimization, scaling models, diagnostics, and predictive maintenance strategies using digital twin insights. Document methodologies, assumptions, and results for internal and external stakeholders. Required Qualifications: Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Engineering or a related field. Minimum 7 years of experience Modelica-based tools (e.g., Dymola, OpenModelica) or GT-SUITE . Proficiency in Refrigeration or HVAC systems (design and simulation) Strong understanding of thermodynamics, heat transfer, and fluid dynamics. Experience with system modeling, parameter estimation, and model validation. Familiarity with control systems and embedded software integration is a plus. Excellent problem-solving, communication, and documentation skills. Additional preferred skills: Knowledge of scripting languages (e.g., Python, MATLAB) for automation and data analysis. Exposure to cloud-based simulation platforms or IoT integration for digital twins.

Software Engineer - Simulations – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a passionate and skilled Software Engineer to join our Forecasting and Simulation team. In this role, you’ll help design, develop, and scale simulation systems that digitally replicate real-world environments, assets, and systems. Your work will enable predictive analysis, real-time monitoring, and scenario testing — helping inform mission-critical decisions. This is a high-impact, hands-on engineering role for someone excited about complex systems, modeling real-world behavior, and building robust simulation engines or platforms. What I'll be doing – your accountabilities / responsibilities? Design and develop simulation engines, tools, and infrastructure to support digital twin applications. Build scalable software systems that model physical, operational, and behavioural characteristics of real-world systems. Collaborate with domain experts to translate real-world systems into digital representations. Integrate simulation engines with real-time data sources (IoT, sensors, APIs) for dynamic updates and predictive modeling. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Contribute to technical documentation and simulation framework architecture. Foundational / Must Have Skills Lead all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles Constantly learn technologies and mentor teams, be a leader & drive the culture of researching & implementing in products Write secure, scalable & clean code along with unit tests Perform code reviews and ensure the quality of code, constantly! Troubleshoot, debug and upgrade software & infrastructure. Thrive in a DevOps culture where we build & support the application E2E Proficiency in Python, C++, or Rust (Python preferred for data-driven simulations). Experience with simulation frameworks (e.g., SimPy, AnyLogic, Unity, Gazebo, OpenModelica, Dymola, or custom-built engines). Strong grasp of system modeling, discrete event systems, or continuous system dynamics. Understanding of software design patterns, data structures, and algorithms. Nice to Have Familiarity with IoT data pipelines, message brokers (MQTT, Kafka), or real-time data integration. Exposure to multi-agent systems, reinforcement learning, or optimization libraries (e.g., Pyomo, OR-Tools). Background in industries like logistics and supply chain. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Qualifications & Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Math, Physics. 5+ years of experience in software engineering with a focus on simulation, modeling, or complex systems. Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Good knowledge in basics of Physics (Mechanical / Electrical / Thermal Subjects). Development and enhancement of required plant models to support Electrified Virtual Vehicle (EVV). Development and enhancement of methods and tools for plant model integration and open loop testing. Supply required models in a timely manner. Support plant model delivery for expanding electrified vehicle applications. Working knowledge with tools like Dymola / OpenModelica / AMESim / GT-Suite (thermal / Combustion) Experience in Matlab /Simulink Knowledge on electric & hybrid vehicle architecture Show more Show less

Location: Chennai Notice: Immediate to 15 days Academic Qualification: B.E / B-Tech / M.E / M-Tech Experience: 3 To 7 Year(s) Skill Set: 1D Simulation, Plant model development, Electric and Hybrid Vehicles Job Description: Good knowledge in basics of Physics (Mechanical / Electrical / Thermal Subjects). Development and enhancement of required plant models to support Electrified Virtual Vehicle (EVV). Development and enhancement of methods and tools for plant model integration and open loop testing. Supply required models in a timely manner. Support plant model delivery for expanding electrified vehicle applications. Working knowledge with tools like Dymola / OpenModelica / AMESim / GT-Suite (thermal / Combustion) Experience in Matlab /Simulink Knowledge on electric & hybrid vehicle architectures Domain Knowledge: Simulation. EV & Hybrid vehicle architectures, Vehicle thermal systems. Interested, Please share your resumes to sonika.balasubramanian@sacha.engineering Show more Show less