Geochemical Modeler

About InPlanetREMOTELanguage skills: Fluency in English, both written and oral, with excellent communication skillsWe are an impact-driven, remote-first, ClimateTech (CDR) startup headquartered in Germany and Brazil to reverse climate change and make tropical agriculture more regenerative, low-carbon, and sustainable. We are working with Enhanced Rock Weathering in tropical agriculture, focusing on Brazil. We do this to create a liveable planet for future generations and, specifically, to regenerate soils and ecosystems, grow nutritious food, and increase food security and sovereignty in the tropics.People-first, Performance Culture: We believe that focus on people and performance can co-exist with the right cultural vision. Our philosophy is to blend these two essential components. The Rocket symbolizes our commitment to peak performance, excellence, and reaching new heights. The Heart represents our dedication to our people, fostering empathy, compassion, and genuine care for every team member's well-being.We are committed to diversity, equity, and inclusion. We are proud to have an internationally growing team and we are designing our people practices to serve psychological safety, belonging, and authenticity.You can check out independent reviews by other candidates on Glassdoor to check how people find interviewing with us.Check out our Culture page hereAbout The RoleWe are seeking a highly skilled and motivated Geochemical Modeler to join our team. You will play a crucial role in developing and refining our in-house model to simulate the enhanced rock weathering (ERW) process from the soil to the ocean. This role will involve modifying, incorporating and improving existing reactive transport, agro-ecosystem, and hydrological models to accurately predict weathering rates, carbon sequestration, and environmental impacts of ERW specific to Brazilian conditions.The Impact you can makeYour work will directly inform company-level business decisions, translate into tangible advancements in our ERW technology, drive the optimization of our carbon capture processes, and contribute significantly to our ability to scale impactful climate solutions.Core working relationshipsYou will lead the development of the in-house model, but also work closely with the rest of the Science team to advance our understanding of the ERW process in the field & model improvements. You will report to our Geochemical Modelling and Data Analysis Lead (Junyao) and work closely with our Head of Science & Research (Christina), Head of Carbon (Matthew) and our Data Analyst (Veronica).Key ResponsibilitiesModel Development and RefinementDevelop and maintain an in-house model for simulating enhanced rock weathering process in the near-field (soil) and far-field (groundwater, surface water, ocean) zones based on existing reactive transport, agro-ecosystem, and hydrological modelsParameterize and validate the model using data from column, mesocosm, and field experiments to accurately reflect the specific feedstock, soil, climate, and geographic conditions of our projectsWork with in-house scientists to design and execute new research experiments to understand key mechanisms of the ERW process, which can be fed into the model developmentSimulation and Analysis:Conduct simulations to predict feedstock weathering rates, carbon sequestration, and the spatial and temporal transport of weathering products from soil to the oceanConduct field-scale water flux estimations to support porewater-based carbon dioxide removal (CDR) quantificationAnalyze simulation results to understand the sensitivity of ERW performance to operational and environmental changes for optimal deployment strategyPredict the impact of ERW on key environmental parameters, including soil fertility, water quality, and crop growthCollaboration and Communication:Maintain existing and build new connections with external scientist for collaborative model developmentCommunicate model results and findings as reports and presentations to internal and external stakeholdersPresent research findings at academic conferences and publish in peer-reviewed journalsYou can be a Rock-Star if you haveCore Skills & ExperienceStrong understanding of geochemical processes and hydrological dynamics in the soil systemStrong programming skills (Python or Fortran) for model developmentExperience running models using high-performance computing resourcesExcellent analytical and problem-solving skillsStrong written and verbal communication skillsAbility to work independently and collaboratively in a dynamic research-oriented startup environmentKey QualitiesPhD (or relevant experience) in Soil Science, Environmental Science, Environmental Engineering, Hydrology, Geology, Geochemistry, Earth Sciences, or a related field.3+ years of proven experience in developing, modifying, applying reactive transport, agro-ecosystem, and/or hydrological modelsBonus Points (but not essential)Experience with modeling watershed-scale hydrological processesExperience with modeling Enhanced Rock WeatheringLiving Our ValuesAt InPlanet, we have a big vision of solving climate change, and we are looking for individuals who are genuinely passionate about making a positive difference in the world of Carbon Removal Solutions. Trust guides our actions, drive fuels our efforts, and impact is our goal.Trust: You believe in being kind and transparent in the workplace, fostering an environment where trust thrives and collaboration flourishesDrive: You possess an innate drive to take action with a hands-on, can-do attitude, propelled by urgencyImpact: You dream big and are committed to making a meaningful difference in the world, aligning with our overarching mission to address climate changeBenefitsSalary expectations and our comp philosophy are openly discussed in the first interview with the goal of managing expectations fairly.Share options to make you feel like an owner.Home Office BudgetFully Remote: Join us from anywhere within the CET (- 4/5-hour time zones).Personal development budgetLanguage Programme Monthly Allowance34+ days annual leaveThe opportunity to be autonomous, make a huge difference and belong to a vision.Occasional off-sites in Brazil yayLaptop to fuel your productivityInPlanet Compensation PhilosophyAt InPlanet, our philosophy revolves around ensuring fair and unbiased compensation and equitable equity pay, coupled with competitive benefits, across all regions where we operate.The reason behind our salary range being wide or undefined at the first stages of the interview is because of our international presence and globally distributed workforce, we utilize geo ranges to account for varying pay differentials, forming a crucial part of our global compensation strategy to remain competitive across diverse markets as we expand our reach.These ranges are determined by role, level, and location, recognizing the nuanced demands of each market. The actual base pay for the selected candidate is influenced by factors such as location, skills, experience, training, business requirements, and market dynamics, with the range subject to potential adjustments in alignment with our commitment to fairness and transparency.Application ProcessRoughly 6 hours across 3-6 weeks from CV-screening.Interview with Talent & People Partner or Head of People (values & motivation)Interview with the Hiring Manager (required core skills and competencies)(optional third interview)Challenge with 3+ team members (specific task, preparation needed)Verbal reference check & psychometric profilingOfferTo hear about updates on future opportunities, please follow us onLinkedInTo keep up with InPlanet market updates, subscribe to ourNewsletterHow To ApplyWe kindly ask you to submit your CV in English, as this is the main language we use here at InPlanet (unless it is justified to be in Portuguese).Being an equal opportunities employer is very important to us, and we are committed to ensuring that no applicant receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions which cannot be shown to be justifiable. We design our processes to be fair and equitable, and we believe in continuous learning.