Computational BIM Engineer

Software Tech Lead

e.construct

We are looking for a Software Tech Lead to join an early-stage deep tech startup and help build and lead an agile and output-oriented team. You will play a crucial role in shaping the product's growth through influencing the architecture, driving code quality, developing software, growing the team and actively contributing to the codebase. We are looking for someone passionate about taking on the deep tech challenge of building innovative structural optimization products. Structural optimization is not easy—it is scarcely applied in industry due to its complex intersection of civil/structural engineering and software engineering. We prioritize results over processes, and your performance will be evaluated based on the quality and impact of your contributions, as well as your influence on team collaboration and delivery. We are creating a scalable solution to a global problem: the construction industry is significantly inefficient, using more concrete and steel than is structurally needed. Our research team extracted 400 peer-reviewed academic papers, representing about 1,900 structures with an average structural inefficiency of 21%. In this role, your software skills will optimize both performance and building structures—helping build more sustainable cities and managing a young team excited to create impact. You will be one of the first software engineers. We currently have 3 software engineers and 12 CSEs (computational structural engineers) who are actively contributing to our code. You will work closely with our CTO, who has relocated from Silicon Valley (SF) to Dubai (and Cairo). He brings experience working with large data sets at Pinterest and Insuretech—and is now focusing on AI-powered structural engineering.

Simulation Engineer (m/f/d)

SL Rasch

IHRE AUFGABEN Simulation Model Development: * Develop and implement simulation models for crowd dynamics, pedestrian behaviour, and movement patterns in various environments. * Utilize advanced simulation software (PEDFlow) to create realistic and reliable scenarios.  * Integrate data inputs, including population density, spatial configurations, and behavioural assumptions, into simulation models. Data Collection and Analysis: * Gather, preprocess, and analyse data relevant to crowd movement and spatial behaviour. * Apply statistical and computational methods to interpret simulation results and validate models against real-world data. * Provide insights and actionable recommendations based on simulation outcomes to support project objectives. Collaboration and Coordination: * Work closely with the project management and planning teams to define work packages and simulation requirements. * Collaborate with engineers, architects, and stakeholders to ensure simulations align with project goals and design specifications. * Present findings and reports to cross-functional teams and contribute to decision-making processes. Scenario Testing and Optimization: * Analyse results to identify bottlenecks, safety risks, and inefficiencies, and propose optimized solutions.  * Conduct sensitivity analyses to understand the impact of design changes or external factors on crowd behaviour. * Simulate multiple crowd management scenarios, including normal operations, emergencies, and evacuation situations.  Software Integration and Customization: * Customize and extend simulation tools to meet project-specific needs, including scripting and coding where necessary. * Ensure seamless integration of simulation models with other digital tools, including BIM and GIS platforms.  * Maintain an up-to-date knowledge of the latest simulation technologies and methodologies.  Work Breakdown and Task Coordination: * Collaborate with project managers and planning teams to define and structure work packages related to simulation activities. * Breakdown simulation requirements into manageable tasks, assign responsibilities, and establish timelines.  * Ensure seamless coordination with other engineering teams, architects, and stakeholders to align tasks with overarching project goals. Reporting and Documentation: * Prepare detailed simulation reports, visualizations, and presentations to communicate findings effectively to technical and non-technical audiences. * Document simulation processes, assumptions, and methodologies for internal records and client deliverables.  * Ensure that simulation outputs comply with relevant industry standards and project requirements Innovation and Continuous Improvement: * Stay informed on advancements in simulation technologies, crowd dynamics research, and relevant regulations. * Propose and implement innovative approaches to improve the accuracy, efficiency, and value of simulations.  * Contribute to the development of best practices and standard operating procedures for simulation activities. IHR PROFIL Professional Background * Degree in Engineering, Simulation, Computer Science, Transport / Spatial Planning, Architecture, or a related field * Solid understanding of crowd dynamics, pedestrian behaviour, or simulation-based analysis * Hands-on experience with simulation software, ideally PEDFlow or comparable tools * Strong skills in data collection, preprocessing, and analysis * Experience with scripting or programming (e.g. Python, MATLAB, or similar) is an advantage * Familiarity with BIM and GIS platforms is a plus Analytical & Technical Skills * Strong analytical thinking with a structured and methodical approach * Ability to model, analyse, and interpret complex systems and movement patterns * Experience in validating simulation models against real-world data * Interest in scenario development, optimisation, and sensitivity analyses Way of Working & Personality * Independent, reliable, and solution-oriented working style * Team player who enjoys interdisciplinary collaboration * Confident communicator, able to explain technical results to both technical and non-technical audiences * Curious mindset with a strong interest in innovation and continuous improvement * High quality awareness with a focus on safety, efficiency, and practical applicability Additional Requirements * Very good English skills (written and spoken); German is a plus * Motivation to continuously develop skills and actively contribute new ideas

Staff Scientist in Computational Sustainable Design

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Chalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and industry. We offer a creative and dynamic environment for research, education, innovation, and applied science. We are now looking for a Staff Scientist to join our team and help strengthen our ongoing research. About the role As a Staff Scientist, you will become part of a professional research environment where your specialist competence contributes to the quality and continuity of ongoing scientific work. In this role, you are expected to support research activities with your expertise and to work closely with colleagues and research leaders to help maintain and support the development of the research environment. You will be responsible for the digital developments in the Computational Sustainable Design Team, including developing workflows, managing the digital infrastructure and data. The role can be seen as a digital lab manager. You are not expected to build your own research group. About us The Department of Architecture and Civil Engineering tackles contemporary and emerging challenges for the built and natural environment, ranging from resource utilisation, pollution and climate change to digitalisation and inequality. We combine expertise in architecture, civil engineering and related disciplines to build a better world.  The Division Sustainable Built Environments develops the methods, tools, and strategies necessary to transition the built environment toward sustainability. Our work spans from material science to urban planning, bridging the gap between fundamental sustainability science and applied research in collaboration with industry, planners, and citizens. Within the Sustainable Built Environments Research Area, the Computational Sustainable Design Team specialises in developing computational workflows and data-driven design approaches leveraging AI and visualisation techniques to support decision-making processes. Your responsibilities  As a Staff Scientist, you will provide advanced scientific, technical, and methodological support to strengthen research activities. Key responsibilities include: Supporting the Computational Sustainable Design Team with expert knowledge in methods, techniques, and digital developments Support the development and implementation of scientific methods Develop, document and maintain the digital infrastructure Support other team members, e.g. PhD students in data management, coding, and data science Support grant writing Support in supervising PhD and Master thesis students Support teaching to a very limited extend Qualifications and merits To qualify for this position, you should have: A doctoral degree in a relevant field, auch as architectural engineering, urban science, construction informatics, computational design, data science Advanced Coding skills (demonstrable experience in git, python, object oriented programming and building data pipelines) Data management experience in research environments Creating and maintaining data management plans (dmp) Deep knowledge in parametric design, GIS, BIM and urban and building energy assessment, such as Geopandas, postGIS, EnergyPlus, etc. Proficiency in written and spoken English (Swedish language courses are offered.) Excellent academic writing skills The following qualifications are considered meritorious: Peer‑reviewed publications in leading journals Experience in writing research applications Experience in web development Front- and back-end development Teaching and supervision experience  Employment This is a full-time permanent position.   Application     Submit your application in English through our recruitment portal. All files should be in PDF format (max 40 MB each; ZIP files not supported).  Personal letter – your motivation and interest in Chalmers.  CV Certificates and supporting documents – including your doctoral degree certificate, documentation of awards, or teaching merits.  Only complete applications submitted through the portal will be considered.      A background check may be conducted as part of the application process.     Application deadline: July 31st, 2026     Contact     For questions about the position, please contact:     Research area leader, Alexander Hollberg   mailto:hollberg@chalmers.se   Head of Division, Leonardo Rosado   mailto:rosado@chalmers.se       *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***        Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.   Chalmers was founded in 1829 and still has the same motto today: Avancez – forward.