$287,180top of the range in Texas · middle $101,920 / yr
AI augments this role
Volcanologists in the United States earn a median of $101,920 a year. Pay starts near $59,330. Pay reaches $287,180 at the top of the range in Texas, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Geoscientists, Except Hydrologists and Geographers, SOC 19-2042). Last checked 9 September 2026.
Entry level
$59,330
Top of the range · Texas
$287,180
Education
Doctoral degree in Volcanology or Geology
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Geoscientists, Except Hydrologists and Geographers). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for VolcanologistReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Volcanologist work right now.
Julius AINEWFree / $20 mo
AI data analyst that runs statistics and charts from plain-language prompts.
How a Volcanologist uses it: analyze datasets and generate figures without writing code
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Volcanologist uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
ElicitFree / $12 mo
AI research assistant that finds and summarizes papers.
How a Volcanologist uses it: run a literature review and extract findings across dozens of papers fast
ConsensusFree / $9 mo
AI search that answers questions from peer-reviewed research.
How a Volcanologist uses it: get evidence-backed answers with the studies behind them
SciSpaceFree / paid
AI that explains papers and helps with literature review.
How a Volcanologist uses it: decode dense papers and trace citations quickly
SciteFree / $20 mo
Shows whether other studies support or contradict a paper's claims (Smart Citations).
How a Volcanologist uses it: check if a finding is actually backed by the wider literature before you cite it
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Volcanologist uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Volcanologist uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
Google GeminiFree / $20 mo
Google's AI assistant, built into Gmail, Docs, and Search.
How a Volcanologist uses it: draft and reply inside Google Workspace and research without leaving the page
A science tied to a living mountain
A volcanologist studies volcanoes: how they are built, how they behave, and what that behavior means for people who live nearby. The work can look like a university office for weeks and like a field camp when a volcano is restless. You read instruments, maps, and the published record. You compare what a mountain is doing now with what it has done before. You write, you talk to other scientists, and sometimes you explain risk to officials who need a clear sentence more than a long paper.
The subject is broader than lava. Volcanologists think about ash, gas, ground movement, the shape of a cone, and the long history stored in old deposits. Some people specialize in the chemistry of erupted material. Some specialize in the physics of how magma moves. Some focus on hazard maps and the way a community plans around them. A single career often mixes more than one of those habits, especially at an observatory where the mountain does not care about your specialty on a busy week.
The public picture is a scientist in a hard hat on a ridge. That picture is real, and it is a small share of the year. Much of the job is data, writing, and meetings with colleagues who monitor the same volcano from other angles. A careful volcanologist is slow to dramatize and quick to say what is known, what is uncertain, and what would change the judgment. That habit is the actual craft.
This account stays with the career: judgment, training, and who will hire that judgment. It stays away from a field manual and from any set of steps for working on an active volcano. If you want the job, you are signing up for graduate study and for institutions that already know how their own teams operate.
Graduate study before anyone hands you a volcano
The path runs through a graduate degree. A bachelor's in geology, geophysics, or a close field can get you into a lab or a seasonal technician role. Research jobs, observatory scientist jobs, and most faculty jobs expect a master's or a doctorate. The graduate degree is what proves you can carry a project from a fuzzy problem to a result other scientists can check. Coursework matters, and so does the thesis: a finished piece of work with your name on it, advised by someone the field already trusts.
Choose the advisor and the project with the job in mind. A thesis on volcanic systems, magmas, or hazard will read more clearly to an observatory than a thesis that never touches a volcano. You still need the shared toolkit of the geosciences: comfort with data, clear writing, and enough field sense to be useful on a team. Publications help. A talk at a real meeting helps. Letters from people who have seen you work help more than a generic transcript.
There is no government licence that makes you a volcanologist. The credential is the degree, the research record, and sometimes a postdoctoral appointment. Preparation looks like graduate school, internships at surveys or observatories, and the unglamorous work of learning how a monitoring group actually communicates. You are not studying for a single national exam that confers the title. You are building a record a hiring committee can read.
Money during graduate school is a different problem from the salary after it. Assistantships and grants vary by campus. Do not treat the early-career wage in the federal release as a description of a stipend. Treat it as a picture of pay once you are employed as a geoscientist. The degree is the bridge. It is also the filter. People who skip it and hope field enthusiasm will substitute usually stall at technician level. That can be good work, and it remains a different job from the volcanologist role described here.
Who hires someone who can read a restless mountain
Observatories and geological surveys are the obvious employers. A monitoring group needs scientists who can interpret a change and help decide what to tell the public. Universities hire volcanologists to teach and to run research programs. Museums, planetary programs, and energy or engineering firms sometimes need the same training for different reasons: a volcanic history, a hazard review, or a site that sits near young volcanic ground. Read the posting for the mix of research, service, and public communication. Those mixes are not interchangeable.
Hiring committees look for a fit with the volcanoes and the tools they already use. If the group is built around seismicity, deformation, and gas, a candidate who has only done mapping will need to show they can learn the rest inside the team's way of working. If the job is a faculty line, they will look at teaching, funding potential, and whether your research opens a direction they do not already cover. Federal jobs add a formal application process. Academic jobs add a talk. Survey jobs often add a practical conversation about how you handle uncertainty when a decision-maker is waiting.
Prepare a short account of one project that skips any methods list. Say what the volcano or the dataset was, what was at stake, what you concluded, and what you would not claim. Bring writing samples that a non-specialist can follow, because hazard work dies when the memo is unclear. Be ready to talk about collaboration. Volcanoes are watched by teams. A brilliant solo style that cannot share credit or share a draft is a risk on an observatory roster.
Geography is part of the hire. Active volcanic regions and the agencies that watch them are not spread evenly. You may need to move for the observatory, the survey office, or the university that has the slot. Say so honestly in your search. A perfect dissertation in a city with no opening will not create a staff scientist job. A willingness to take a postdoctoral role in the right group often will.
From a thesis to a scientist other people rely on
The first job after the doctorate is often a postdoctoral appointment or a term position at a survey. You are proving you can finish work without your advisor in the room. Publish, learn the group's instruments at the level of a colleague rather than a tourist, and practice the short briefing. The scientists who get kept are the ones who make a team smarter, not the ones who hoard a single technique.
A staff scientist track deepens responsibility for a volcano, a region, or a method. You may review other people's interpretations, train newer scientists, and represent the group when the public is paying attention. A faculty track adds students, courses, and the hunt for grants. Some people move between the two. A survey scientist may later teach. A professor may spend a season with an observatory. The skill that travels is judgment you can explain.
Leadership, when it comes, is about coordination and communication more than about being the person closest to the crater. A senior volcanologist helps decide what the group will say, what it will not say yet, and how to keep the science honest under pressure. That role rewards people who have already been wrong in small ways and corrected themselves in public. It does not reward drama.
Keep a life outside the one mountain that made your name. Techniques change. Funding lines move. A career that can stretch into related geoscience, hazard planning, or teaching will outlast a single eruption cycle. Stay curious, and stay employable in more than one room.
Along the way, learn to brief. A scientist who can tell a civil official what changed since yesterday, in language that official can repeat, becomes hard to replace. Practice that briefing on colleagues before you need it in a tense week. Write the conclusion first, then the evidence, and leave the jargon in the paper. The same habit helps in a faculty job, where students and deans are also audiences. Volcanology rewards people who can hold two registers: precise with peers, plain with everyone else.
Guard your record. Keep copies of abstracts, memos you are allowed to keep, and a short list of projects with your actual role stated. Hiring later in the career still turns on that paper trail. A reputation for careful claims will travel farther than a reputation for being first to the dramatic interpretation. Mountains remain after the news cycle. Your name on a bad overstatement remains too.
Five state medians, read in a set order
Occupational Employment and Wage Statistics for May 2025 fold this work into the geoscientist series, Geoscientists, Except Hydrologists and Geographers. The national midpoint is $101,920. The early-career figure is $59,330. The step between them is $42,590. State medians, in this order, are Washington at $105,020, California at $106,500, Colorado at $114,410, Oklahoma at $119,990, and Texas at $145,220.
Texas holds both the high end of the published range and the highest median. The high end is $287,180. The highest median is $145,220. Those are different statistics. The high end is the top of the published range in Texas. The median is the midpoint of pay there. Quoting $287,180 as if it were ordinary Texas pay will wreck an otherwise careful conversation. The distance from the national midpoint to that high end is $185,260. The national midpoint trails the Texas median by $43,300.
Washington at $105,020 and California at $106,500 sit just above the national midpoint. Colorado at $114,410 and Oklahoma at $119,990 sit further above it. Pennsylvania holds the lowest published median, $84,180. The gap between the highest state median and that lowest median is $61,040. Use the state that matches the job. A Texas median will not describe a Washington offer, and a Washington median will not describe the high end of the range.
Texas, twice, on purpose
Texas holds both the high end and the highest median. Keep $287,180 in the sentence about the high end of the published range. Keep $145,220 in the sentence about the median. They share a state and they do not share a meaning.
Asking for a scientist's salary without blurring the figures
A new doctorate is closer to the early-career figure, $59,330, than to the top of the range, especially in a term appointment. The national midpoint, $101,920, is a reasonable anchor once you are a working geoscientist with a record, not a promise attached to the diploma alone. The $42,590 between those two figures is the distance your publications, your monitoring experience, and your ability to brief non-scientists should be able to discuss.
If the offer is in Texas, separate the two local numbers before you speak. The median, $145,220, sits $43,300 above the national midpoint and is the right comparison for a typical staff role. The high end, $287,180, is a different statistic. It belongs in the conversation only if the role is genuinely at the top of the published range. Oklahoma at $119,990 and Colorado at $114,410 are the anchors if the job is there. California at $106,500 and Washington at $105,020 tell you those medians are only a little above the national midpoint, so a coastal or Northwest address, by itself, fails as a case for a large premium over $101,920.
Bring the degree, the papers, and a plain description of responsibility. Observatories and universities respond to evidence that you can carry part of their mission. They do not respond to a recitation of the high end. If an offer sits near $59,330 and you already have a graduate degree plus independent work, you can point to the midpoint and the $42,590 step. If an offer in Texas sits near the national midpoint while the state median is $145,220, ask what about the role explains that distance.
Remember the series is broader than volcanoes. The figures describe geoscientists in that shared release, mentioned here once, and a volcanologist still has to show why this candidate fits this opening. The $61,040 spread between Texas and Pennsylvania is about place. The $185,260 spread from the national midpoint to the Texas high end is about how wide the whole series is. Pick the comparison that matches the letter in your hand, say which statistic you are using, and stop there.
The top of Volcanologist pay — and how to get there with AI
$287,180what Volcanologist pay reaches in Texas
Highest state-level top-of-range annual wage for Geoscientists, Except Hydrologists and Geographers, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
And the role it leads to — Data Scientists — reaches $224,920 in California.
$59,330entry$101,920middle$287,180top end
Pay in this occupation separates on who owns the commission: the middle of the range collects and interprets the data, while a volcanologist at the top of the range scopes the hazard assessment, prices it, and answers to the agency, utility or insurer who paid for it.
Planning field surveys and sampling programmes, measuring gravity and magnetic fields with seismographs, gravimeters and magnetometers, preparing geological maps and cross-sectional diagrams, and identifying risks such as mudslides, earthquakes or eruptions is the recognisable craft here. What is rarer is a scientist who can turn that into something a non-specialist buyer commissions and acts on. Summarising a decade of technical reports, drafting the plain-language half of an assessment, and reformatting a monitoring record are all faster with a model. Deciding what to recommend, and standing behind it in a room full of people who have to evacuate a valley, is not.
Your playbook, by where you are now
Just startingOwn the instruments and the reproducibility
Take every field season offered and record what you personally did with the instruments, not only what the group concluded.
Build your own maps and cross-sections in ESRI ArcGIS software instead of handing data to a specialist.
Keep processing scripts under Git so a result can be reproduced two years later when somebody disputes it.
Write one plain page after each campaign explaining what was measured and what it means to a person living on the flank.
Find out which agencies, utilities and insurers fund the monitoring you work on, and what they receive for it.
What proves it: A hazard map you produced end to end, reproducible from your own repository.
Realistic span: graduate work through your first two years
A few years inTurn research output into a deliverable
Volunteer for the parts facing the buyer: the scoping call, the interim briefing, the meeting where a civil authority asks what to do next.
Learn to price the work in field days, laboratory analysis and instrument time, because whoever can build a defensible budget gets asked to lead the proposal.
Point NotebookLM at the monitoring literature and technical reports for one volcano you cover, then check every claim against the source before it reaches a client document.
End every assessment with a recommendation and an honest uncertainty statement, not a description of deposits.
Present at the meetings your funders attend, not only the ones your peers attend.
What proves it: A funded proposal you scoped and priced, plus the assessment delivered against it.
Realistic span: years three through seven
ExperiencedSell judgment, not field days
Lead bids for monitoring, siting and eruption-response work, and keep the relationship after the award.
Build the quantitative side, probabilistic hazard modelling and exposure estimates, since that is what a regulator or insurer actually buys and it is also the bridge toward data science pay.
Take expert testimony and regulatory advisory work, where your judgment is the entire product.
Follow the subsurface money into energy and resources if you want the highest rates; Texas concentrates that work.
Keep writing research papers and teaching, because credibility in this science is still earned in the literature.
What proves it: Repeat commissions from the same buyer with your name on the technical lead line.
Realistic span: from year eight
The next 90 days
Over the next ninety days, write the assessment nobody commissioned. Choose one volcano or one flank hazard you already hold data for, and produce the document a county emergency manager, a water utility or an underwriter would pay for: what is instrumented, what those instruments have recorded, which hazards are credible over what horizon, how confident you are, and what you would do about it. Keep it under ten pages and put the recommendation on the first one. Then hand it to somebody outside your research group and ask what they would still need before acting. Their answer is the entire distance between a paper and a deliverable, and closing it is the move.
Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Open ChatGPT or Claude and treat it as your coding and analysis partner first. Volcanology runs on Python — ObsPy for seismology, xarray for satellite data, NumPy/SciPy for modeling. Describe your data and the method (spectrogram of volcanic tremor, RSAM, coulomb stress, ash-dispersion input) and have the AI write and debug the scripts. Validate every script on a known event before trusting it on new data.
For monitoring and research, lean on powerful free platforms: Google Earth Engine for satellite thermal, SO2, and deformation time series over any volcano, and Elicit or Consensus to search and synthesize the literature. Use NotebookLM to load key papers and datasets and interrogate them. Keep embargoed or unpublished data out of consumer tools.
The one rule, forever: AI is an analysis aid, never the eruption forecast or the evacuation call. A qualified scientist must verify every model, signal classification, and hazard interpretation against the full monitoring picture and physical understanding — a false 'all clear' or a missed precursor costs lives. Never let an AI pattern-match substitute for expert judgment on an official alert level, validate models against known eruptions, and keep embargoed data and unpublished results out of consumer AI tools.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Automate monitoring-data analysis with AI-written code
Why this pays: Whoever extracts signal from seismic, deformation, and gas data fastest publishes and forecasts first. AI that writes and debugs your processing pipelines turns weeks of coding into days — the productivity that builds the publication and grant record behind senior salaries.
ChatGPTObsPy (Python)GitHub Copilot
1
Use ChatGPT or Claude to write ObsPy pipelines — fetch waveforms, compute RSAM/spectrograms, detect and locate volcano-tectonic and long-period events — and GitHub Copilot to speed the coding in your editor.
2
Build a reusable tremor-analysis tool and validate it on a known eruption.
Copy-paste this prompt
Write a documented Python/ObsPy script that ingests continuous seismic data from [station/network], computes RSAM and a spectrogram, and flags episodes of sustained volcanic tremor above a threshold with their frequency content and duration. Include plots. Then run it on the well-documented [2018 Kilauea] sequence [I'll provide the data window] and show that it reproduces the known tremor onset.
Always validate the pipeline against a documented eruption before applying it to new or live data. A miscoded detector that misses precursors is dangerous.
3
Version your validated scripts on GitHub so each new project starts from a working pipeline instead of a blank file — and so collaborators and reviewers can reproduce your work.
What you'll haveRobust, reusable analysis pipelines built fast — more data turned into results, publications, and forecasts.
2
Monitor any volcano from space with Google Earth Engine
Why this pays: Satellite thermal, SO2, and InSAR deformation let you track volcanoes with no ground network — the global reach that makes you valuable to observatories, aviation, and hazard programs. AI-scripted Earth Engine analysis is how one scientist covers many volcanoes.
Google Earth EngineChatGPTInSAR (Sentinel-1 / LiCSAR)
1
Use Google Earth Engine to pull thermal anomaly (MODIS/VIIRS/Landsat), SO2 (Sentinel-5P), and deformation time series over any target volcano, and ChatGPT to write the Earth Engine JavaScript/Python.
2
Build a multi-parameter unrest dashboard and interpret deformation.
Copy-paste this prompt
Write a Google Earth Engine script that, for a volcano at [lat/lon], builds a time series of: Landsat/VIIRS thermal radiance over the summit, Sentinel-5P SO2 column, and a simple NDVI change proxy around the edifice, all charted over [date range]. Then explain how I'd combine these with Sentinel-1 InSAR deformation to distinguish shallow degassing from magmatic intrusion, and what patterns would raise my concern.
AI writes the query and frames the reasoning; you interpret the geophysics against the full monitoring picture. Satellite signals have atmospheric and processing artifacts — verify before drawing conclusions.
3
Process InSAR deformation (Sentinel-1, LiCSAR products) with AI-assisted code to model the source depth and volume change driving any uplift.
What you'll haveMulti-parameter remote monitoring of volcanoes worldwide — the broad, high-value capability observatories and agencies pay for.
3
Publish faster with an AI research pipeline
Why this pays: In academia and government science, publications and citations are the currency of promotion, tenure, and senior grades. AI that accelerates literature review, drafting, and revision compresses the path from data to a published, cited paper — directly driving career progression and pay.
ElicitConsensusClaude
1
Use Elicit and Consensus to search the literature by question, extract findings across dozens of papers into a table, and surface the studies you'd otherwise miss.
2
Draft and sharpen the manuscript with AI while keeping the science yours.
Copy-paste this prompt
I'm writing a paper arguing that [pre-eruptive deformation at Volcano X reflects a shallow sill intrusion based on InSAR and seismicity]. Help me structure the manuscript for [Journal of Volcanology and Geothermal Research]: outline the sections, tighten my abstract [paste draft], list the analyses and figures a reviewer will expect, and identify the three weakest points in my argument and what evidence would strengthen each.
AI structures and critiques; every claim, number, and citation must be your verified work. Never fabricate results or references, and follow the journal's AI-disclosure policy.
3
Use Claude to turn reviewer comments into a point-by-point response letter and revision plan, cutting the slowest part of the publishing cycle.
What you'll haveA faster path from data to published, cited papers — the record that drives tenure, senior grades, and pay.
4
Win grants with AI-accelerated proposals
Why this pays: Soft money runs volcanology, and the scientist who wins NSF, USGS, and international grants funds their salary, students, and fieldwork. AI that accelerates proposal writing and broadens the ideas you can pursue directly grows the funding that defines a senior career.
ChatGPTClaudePerplexity
1
Use Perplexity to research active funding calls and recent awards in your area, and Claude to draft proposal sections — background, objectives, broader impacts — from your ideas.
2
Strengthen the proposal by stress-testing it against a review panel.
Copy-paste this prompt
Act as an NSF Geophysics review panel. Here's my proposal summary: [aims, methods, significance for a study of gas-flux and seismicity coupling at an open-vent volcano]. Critique it as a panel would: is the hypothesis compelling and testable, are the methods sufficient, what are the feasibility risks, is the broader-impacts plan strong, and where would a reviewer rate it 'Good' instead of 'Excellent'? Give specific fixes for each weakness.
Use AI to pressure-test framing and clarity; the science, budget, and feasibility must be genuinely yours. Follow the agency's rules on AI use in proposals.
3
Reuse and adapt your strongest AI-refined proposal language across calls, building a personal library of fundable framings for your research program.
What you'll haveMore competitive proposals submitted per cycle — the funding that pays your salary, students, and fieldwork.
5
Take volcanic-hazard expertise into higher-paying sectors
Why this pays: The clearest route past $287,180 is applying volcanology outside academia — geothermal energy, aviation ash-hazard, insurance/catastrophe risk, and government hazard programs. AI helps you translate deep science into the models and reports these sectors pay a premium for.
ChatGPTClaudeGoogle Earth Engine
1
Identify the applied niche that fits your expertise — geothermal exploration, aviation VAAC/ash forecasting, or cat-risk modeling — and use ChatGPT to map the skills and tools that sector expects.
2
Build a bridge deliverable that shows applied value.
Copy-paste this prompt
I'm a volcanologist with expertise in [ash dispersion and eruption source parameters] exploring work in [aviation ash-hazard / catastrophe risk]. Draft a short technical brief that translates my research into that sector's language: what decisions my expertise informs, which established models and datasets they use (e.g., ash-dispersion models, exposure data), the value I add, and a realistic first project I could propose. Then list the gaps I should close to be credible there.
AI helps translate and position; the domain judgment and any operational hazard model must be validated to that sector's standards. Overstating certainty in a risk model has real consequences.
3
Publish an applied explainer or LinkedIn piece bridging your science to the sector's problems to attract consulting and industry interest.
What you'll haveA credible pivot into geothermal, aviation, or risk work — the applied path to top-of-range and beyond.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $287,180 tier.
Month 1
Use ChatGPT/Copilot to build and validate ObsPy monitoring pipelines on a known eruption; start a versioned script library.
Months 2-3
Stand up remote monitoring in Google Earth Engine (thermal, SO2, InSAR) for your target volcanoes with AI-written code.
Months 3-6
Run an AI-accelerated literature and drafting pipeline (Elicit, Consensus, Claude) to move a paper toward submission.
Months 6-12
Use AI to research calls and draft/red-team grant proposals; submit more competitive applications per cycle.
Year 2
If you want to break past academic pay, translate your hazard expertise into geothermal, aviation, or cat-risk work with AI-built bridge deliverables.
Gear for this job
As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.
Same live Bolstad 7th already on gis-analyst / urban-planner / forest-ranger / cartographer / hydrologist / park-ranger / archaeologist / wildlife-biologist / paleontologist / city-planner / biologist / conservation-officer / environmental-consultant / limnologist / landscape-designer / urban-forester / ornithologist (ASIN 0971764751). This leftover page is BLS Geoscientists (SOC 19-2042); play 2 is Monitor any volcano from space with Google Earth Engine; playbook says Build your own maps and cross-sections in ESRI ArcGIS software; tools name Earth Engine / ObsPy / xarray. GIS fundamentals text for leftover ArcGIS / Earth Engine / volcanic-hazard-map work — not leftover GISP as a card. Confirm 0971764751. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 1:30 AM PT. Source page: forest-ranger.
Next steps for a Volcanologist
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Volcanologist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Geoscientists, Except Hydrologists and Geographers (SOC 19-2042). O*NET Job Zone 5 is typical: graduate or professional school, so the honest next credential is a graduate-level or professional certificate — not a random catalog dump.
The occupation's listed knowledge areas include Geography and Chemistry; the links search those subjects, not a generic 'career courses' list.
Volcanologists in this dataset list Autodesk AutoCAD among the tools in use, so a program that names that stack is a better fit than a survey course.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Volcanologist work, not a claim that they list a counted SOC 19-2042 inventory.
Write a Volcanologist resume, or one aimed at Data Scientists, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Volcanologist resume that names the actual tasks on this page, or the step-up title Data Scientists, beats a blank template when you apply.
What Volcanologists earn by state
These are the Bureau of Labor Statistics’ own figures for Geoscientists, Except Hydrologists and Geographers, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
Texas
$145,220
highest of them · +42% vs the national median
Pennsylvania
$84,180
lowest of the 11 states that qualify · -17% vs the national median
The same job pays $61,040 more a year at the median in Texas than in Pennsylvania — 73% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. Texas also carries the top of this job’s range, $287,180 — the figure quoted at the head of this page.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 19-2042. 11 states clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
No. AI can't do fieldwork on an active vent, integrate sparse and noisy multi-parameter data into a physical understanding of a magmatic system, or take responsibility for an alert level that triggers an evacuation. It accelerates the coding, satellite analysis, literature review, and writing so you produce more science. Machine learning is becoming a powerful tool for eruption forecasting, but a scientist must own every hazard interpretation.
Can I trust AI to forecast eruptions or classify signals?
Use it as an aid that you validate, never as an oracle. Models and classifiers must be tested against known eruptions and checked against the full monitoring picture, because a false 'all clear' or a missed precursor costs lives. AI can surface patterns and speed processing, but the forecast and any official alert remain expert judgment backed by physical understanding.
Is it safe to put my data into ChatGPT or Claude?
Keep embargoed, unpublished, or sensitive monitoring data out of consumer tools, and follow your institution's and journals' policies on AI use and data sharing. Public datasets and general methods are fine. For code and analysis, you can work with de-identified or synthetic examples, then run the real pipeline in your own environment.
How does AI actually increase a volcanologist's pay?
Comp in this field tracks publications, grants, seniority, and — for the top of the range — moving into applied sectors. AI multiplies your research output (faster code, satellite monitoring, literature synthesis, and drafting) and your grant win rate, accelerating promotion and tenure. It also helps you translate volcanic-hazard expertise into geothermal, aviation, or catastrophe-risk roles that pay well above academic scales.
I'm on a PhD/postdoc salary — what's the fastest AI win?
Automate your data processing and literature review. Those two eat the most time and directly gate how fast you publish. Have AI write and validate your ObsPy/Earth Engine pipelines and use Elicit/Consensus to accelerate reviews, then reinvest every saved hour into papers and proposals — the currency that actually moves your career and salary.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.