Website OXMAN
OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity.
EDEN
Nature provides humanity with services that are critical for survival: the sequestration of carbon, the filtration of water, and the production of the air we breathe. EDEN works to strengthen and regenerate these natural processes by cultivating biodiverse, resilient ecosystems that sustain life for all species—human and non-human alike.
EDEN is a digital design environment for the engineering and design of ecosystems, modeling the flows, relationships, and processes that sustain them. We build tools that quantify how landscapes can be engineered toward specific performance goals—cooling cities, filtering water, sequestering carbon, and protecting key species—and use those tools to guide the design of ecologically active sites.
Key Responsibilities
– Conceptualization and Research: Research and identify key ecosystem behaviours and interactions to create a comprehensive conceptual framework for general ecosystem modelling
– Ecosystem Behaviour Modelling: Leading of the modelling of core ecosystem dynamics and interactions as defined in the conceptualization phase such as plant growth and succession etc.
– Ecosystem Metrics Development: Development of quantitative metrics to assess ecosystem health, stability, and service provision.
– Implementation and Documentation: Models will be implemented in a computationally efficient framework with thorough documentation to ensure usability and reproducibility.
– Help in the gathering and integration of relevant environmental, ecological, and spatial data to underpin model parameters and validate model outcomes.
– Conduct data analysis to derive key insights necessary to develop ecosystem models and validate model parameters.
– Technical documentation: Prepare comprehensive documentation outlining model assumptions, data sources, code structure, and operation for using and maintaining the models.
– Continually communicate with the OXMAN team to ensure review of research, implementation, and seamless integration of the model into their workflows.
– Participate in regular progress meetings with the team to review milestones, discuss challenges, and plan next steps.
Key Goals and Outcomes
– Development, deployment, and validation of a general ecosystem model within two quarters of the start date
Required Experience
– A Ph.D. or equivalent experience in Computer Science, Computational Ecology, Systems Biology, or a related field.
– Strong programming skills in languages such as Python, C++, or similar, with experience in frameworks like PyTorch, or JAX.
– Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.
– Experience handling large and often messy datasets common in ecology (e.g., climate data, remote sensing imagery, biodiversity records). Knowledge of spatial databases, parallel computing, or cloud-based data storage is a plus.
Technical Skills
– Python (NumPy/SciPy/pandas), reproducible research workflows, and Git-based version control
– High-performance model implementation (vectorization, profiling/optimization); familiarity with PyTorch or JAX
– Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling; uncertainty quantification
– Geospatial analytics (GIS; GeoPandas/rasterio/GDAL) and spatial databases (e.g., PostGIS) for integrating environmental and biodiversity data
– Remote sensing and gridded data handling (e.g., xarray; land cover/land use change; climate rasters)
– Clear technical documentation and maintainable code (testing, modular design)
Essential Qualities
– Systems-level thinker who can translate ecological theory into tractable computational abstractions
– Strong research judgment: literature synthesis, hypothesis framing, and disciplined model validation
– Pragmatic engineer: prioritizes computational efficiency, robustness, and reproducibility
– Comfortable working with uncertainty, noisy data, and incomplete ground truth, typical of ecological problems
– Clear communicator in interdisciplinary teams (design, biology, engineering)
– High ownership: independently drives milestones while aligning work to EDEN workflow integration needs
Compensation: $152K – $241K
To apply for this job please visit jobs.ashbyhq.com.
