Lead forest carbon scientist in Kingston upon Hull

Lead forest carbon scientist in Kingston upon Hull

Kingston upon Hull Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead carbon monitoring and ensure high-quality forest measurement data.
  • Company: Join Africa’s leading forest restoration company on a mission to combat climate change.
  • Benefits: Flexible hybrid/remote work, impactful projects, and the chance to make a difference.
  • Other info: Dynamic role with opportunities for innovation and scientific advancement.
  • Why this job: Be at the forefront of forest restoration and biodiversity conservation.
  • Qualifications: PhD in relevant field, proficient in R/Python, and experience in tropical forests.

The predicted salary is between 60000 - 80000 £ per year.

Full-time (hybrid/remote) Up to 3 months/year at projects in West Africa.

About Rainforest Builder

Rainforest Builder is Africa’s leading forest restoration company, on a mission to restore one million hectares of degraded land to tropical forest. We bring together world-leading science, forestry, and tech, to deliver high-quality forest restoration at unprecedented scale. Backed by some of the largest companies and investors in the world, we remove millions of tonnes of CO2 from the atmosphere, restore globally threatened biodiversity, and deliver equitable economic growth to rural communities. We currently operate four projects across three countries in West Africa and are continuing to expand to new areas within the region.

Role overview

As our Lead forest carbon scientist, you will be the driving force behind our programme of carbon monitoring, providing technical oversight and ensuring that we consistently deliver high-integrity forest measurement data through highly scalable, efficiently run field operations. To date, we have measured over 150 ha of degraded tropical forests, a number set to double again over the next two years. Ensuring that we consistently apply the same high standard of implementation across a large, and growing, field operation requires an individual who cares about detail, has excellent data handling ability, and a deep knowledge of tropical forests and the realities of working in them. In this role, you will provide quality assurance for all of our carbon monitoring processes and data outputs, and lead on bringing new technologies to bear on our measurements and carbon accounting.

The ideal candidate will:

  • have excellent data handling and analytical skills, with experience working with complex ecological data
  • have a depth of experience in the field of tropical forest ecology, and understand how leading carbon methodologies (e.g. VM0047) account for forest carbon change
  • be highly self-motivated and can operate with high agency to identify and manage problems effectively

Key Responsibilities

  • Continually assess and improve our forest carbon measurement protocols, ensuring that they keep pace with scientific developments and remain at the leading edge of measurement standards
  • Oversee implementation of our measurement protocols across a large field-monitoring operation consisting of many teams spread across multiple countries.
  • Own our carbon data: data management, identify and investigate data errors and inconsistencies; work with field teams to address root causes, and continually refine our processes
  • Contribute to the development of tools and processing pipelines to handle and manage carbon data
  • Integrate remote sensing (satellite and drone), and LiDAR into the monitoring framework.

Candidate requirements

  • PhD in a relevant field
  • Proficient in R and/or Python
  • Comfortable handling complex ecological datasets: identifying anomalies, tracing errors, and building reproducible analytical workflows
  • Able to construct appropriate statistical models to answer questions and deliver insights, and produce clear data visualisations and data summaries as required
  • Experience working in tropical forests. You do not need to be a carbon accounting specialist, but you should understand enough forest ecology sufficient to interpret monitoring data critically, and some knowledge of leading accounting methodologies is a plus.
  • Experience with remote sensing datasets, drone imagery, or LiDAR in a forest monitoring or ecological research context
  • Highly self-motivated, and excited by the challenge of maintaining scientific rigour across a large field operation.
  • Excellent problem solver- able to identify problems and challenges as they emerge and resolve appropriately

To apply

Please email with a CV and covering letter, including the job title in the subject line. Applications via LinkedIn will not be reviewed.

Lead forest carbon scientist in Kingston upon Hull employer: Rainforest Builder

At Rainforest Builder, we pride ourselves on being a leading employer in the field of forest restoration, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our support for continuous learning and the opportunity to work on impactful projects across West Africa, where you can contribute to restoring vital ecosystems while enjoying the flexibility of a hybrid work environment. Join us in making a meaningful difference as we tackle climate change and promote sustainable development in rural communities.
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Contact Detail:

Rainforest Builder Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead forest carbon scientist in Kingston upon Hull

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend relevant events, and connect with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with carbon monitoring and data handling. When you get the chance to chat with potential employers, share specific examples of how you've tackled challenges in tropical forest ecology.

✨Tip Number 3

Be proactive! If you see a project or initiative by Rainforest Builder that excites you, reach out directly. Express your interest and how your skills align with their mission. A little enthusiasm can go a long way!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your expertise in tropical forests and carbon measurement, and make sure to mention any relevant technologies you’ve worked with.

We think you need these skills to ace Lead forest carbon scientist in Kingston upon Hull

Data Handling
Analytical Skills
Tropical Forest Ecology
Carbon Methodologies (e.g. VM0047)
Problem-Solving Skills
R Programming
Python Programming
Statistical Modelling
Data Visualisation
Remote Sensing
Drone Imagery
LiDAR
Field Operations Management
Quality Assurance
Process Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Forest Carbon Scientist role. Highlight your experience with tropical forests, data handling, and any relevant methodologies. We want to see how your skills align with our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for forest restoration and how your background makes you the perfect fit for our team. Don’t forget to mention specific projects or experiences that relate to our work.

Showcase Your Data Skills: Since this role involves a lot of data management, be sure to highlight your proficiency in R and/or Python. Include examples of how you've handled complex datasets and solved problems in the past. We love a good data story!

Follow Application Instructions: Make sure to follow our application instructions carefully. Email your CV and cover letter with the job title in the subject line. Remember, applications via LinkedIn won’t be reviewed, so stick to our website for the best chance!

How to prepare for a job interview at Rainforest Builder

✨Know Your Carbon Science

Make sure you brush up on your knowledge of carbon methodologies, especially VM0047. Be ready to discuss how these methodologies apply to forest carbon change and how you can contribute to improving measurement protocols.

✨Showcase Your Data Skills

Prepare to demonstrate your proficiency in R and/or Python. Bring examples of complex ecological datasets you've handled, and be ready to explain how you identified anomalies and built reproducible analytical workflows.

✨Field Experience Matters

Since this role involves working in tropical forests, share your field experiences. Talk about the challenges you've faced and how you've overcome them, as well as any innovative solutions you've implemented in past projects.

✨Problem-Solving Mindset

Highlight your problem-solving skills by preparing examples of past challenges you've encountered in data management or field operations. Discuss how you identified issues and the steps you took to resolve them effectively.

Lead forest carbon scientist in Kingston upon Hull
Rainforest Builder
Location: Kingston upon Hull

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