OXMAN

Computational Ecologist

NEW YORK, NYPosted 30+ days ago

Job summary

  • Job overview

    The Computational Ecologist at OXMAN will leverage computation to bridge human-made and Nature-grown environments, focusing on ecosystem modeling and analysis to inform design solutions.

  • Responsibilities and impact

    The role involves conceptualizing ecosystem behaviors, leading modeling efforts, developing ecosystem metrics, implementing models efficiently, analyzing data, and maintaining communication with the team.

  • Experience and skills

    Candidates should have a Ph.D. or equivalent in relevant fields, strong programming skills, experience with modeling techniques, and proficiency in GIS and data handling.

  • Company information

    OXMAN is a hybrid Design and R&D company that integrates design, technology, and biology to create innovative products and environments, advocating for a Nature-centric approach.

Company overview

OXMAN is a multidisciplinary design and research studio that operates at the intersection of architecture, design, and technology. Founded by Neri Oxman, the company is renowned for pioneering the field of Material Ecology, which combines computational design, digital fabrication, and synthetic biology to create sustainable and innovative solutions. They generate revenue through a combination of high-profile design projects, collaborations with leading institutions, and intellectual property licensing. A significant milestone in their history includes their groundbreaking work exhibited at the Museum of Modern Art (MoMA) and collaborations with MIT Media Lab.

How to land this job

  • Tailor your resume to highlight your expertise in computational ecology, emphasizing your skills in ecosystem modeling, programming languages such as Python or C++, and your experience with frameworks like PyTorch or JAX.

  • Showcase your foundational knowledge in modeling techniques relevant to ecological processes, such as differential equations and agent-based modeling, as these are crucial for the role at OXMAN.

  • Apply for the Computational Ecologist position through multiple platforms, including OXMAN's corporate site and LinkedIn, to maximize your chances of being noticed by hiring managers.

  • Connect with professionals in the ecological research division at OXMAN on LinkedIn to gain insights about the role and the company culture; potential ice breakers could include asking about recent projects or expressing your admiration for their nature-centric design philosophy.

  • Optimize your resume for ATS systems by incorporating keywords from the job description, such as 'ecosystem modeling', 'data analysis', and 'quantitative metrics', to improve your chances of passing initial screenings.

  • Consider utilizing Jennie Johnson's Power Apply feature, which can assist you in tailoring your application, identifying the best channels to apply through, and connecting with relevant individuals on LinkedIn, allowing you to focus on your job search strategy.

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