PhD student (M/F) in multi-scale modeling of boundary layer clouds in Antarctica

PhD student (M/F) in multi-scale modeling of boundary layer clouds in Antarctica

Quick Decision

How can detailed observations and simulations of Antarctic boundary-layer clouds improve their representation at climate-model scales? This doctorate links observations, Meso-NH large-eddy simulations and LMDZ cloud parameterizations. It suits someone interested in cloud physics and numerical modelling, beyond satellite-data processing alone. The host develops the relevant climate model and offers an explicit 36-month salary contract; the supervisory team, degree-registration route and allocation of observations and computing resources still need confirmation. Official vacancy.

The post is based in Paris 05, with expected start 1 January 2027, deadline 13 November 2026, 23:59 Paris time, and at least €2,300 gross/month. A Master's/BAC+5 is advertised. Before investing heavily in an application, request the actual supervisory team, doctoral-school route and a short account of the three-year scientific scope.

Research Problem and Doctoral Work

The doctoral researcher will investigate the dynamics and microphysics of Antarctic atmospheric boundary-layer clouds, connecting three scales of work:

• Analyse in-situ and satellite observations to characterise cloud dynamics in selected cases.

• Use Meso-NH in LES mode for high-resolution simulations of Antarctic clouds.

• Develop cloud parameterizations suited to Antarctic conditions in the LMDZ atmospheric general circulation model.

These are linked responsibilities, not three interchangeable descriptions of climate modelling. The role contributes to ANR AMUNDSEN within LMD's EMC3 team. The advert describes three complementary supervisory expertises: Antarctic meteorology/cloud observations, high-resolution cloud modelling and polar climate modelling. It does not name the researchers or promise an Antarctic expedition. Vacancy.

The scientific challenge is how processes resolved in a detailed simulation can become robust rules at climate-model resolution. Polar mixed-phase clouds couple liquid droplets, ice, turbulence, radiation and surface exchange. A scheme that fits one cloud or campaign may fail in another regime. LES also depends on numerical resolution, forcing and microphysics; it is useful process evidence, not unquestioned ground truth. Independent observations, careful model–observation co-location and tests across regimes therefore matter as much as a visually convincing simulation. These are research interpretations, not extra advertised deliverables.

Meso-NH supports real and idealised cases, nesting and scales down to turbulent eddies; the LMDZ documentation describes multiple physical configurations. Neither resource settles which version, domain, data set or computing budget will be used here. Suitable possible outputs include evaluated case studies and a reproducible parameterization with a clear validity range. Specific cloud schemes, publication targets, field trips and global climate-projection improvements are not guaranteed. Meso-NH, LMDZ documentation.

School, Programme and Field Context

The confirmed employer is the French national research organisation and the host is the Laboratoire de Météorologie Dynamique, UMR 8539, EMC3 team. Employment, laboratory hosting and degree registration are distinct roles. LMD lists several doctoral-school affiliations, including environmental sciences ED129, astronomy ED127 and mechanics/energy ED626; none of these is confirmed as the registration route for this vacancy. It would be misleading to attach Sorbonne or PSL degree status, a joint degree or their rankings to the post without that confirmation. Doctoral schools, national framework.

As limited partner context, Sorbonne is 73rd overall in QS2027. Its LMD site/affiliation does not confirm it will award this doctorate; this is not a cloud-lab or subject ranking. QS context.

The strongest relevant institutional evidence is the actual research environment. EMC3 develops LMDZ and links observations, model hierarchies, physical parameterization and climate feedback. LMD works on clouds/water, dynamics and surface exchange across Paris/Palaiseau sites. Its introductory page retains some legacy institutional names and headcounts, so those figures are not used as current lab statistics. The vacancy and cited institutional pages do not establish a project-specific subject ranking. EMC3, LMD.

Other LMD doctoral examples connect Antarctic observations with LMDZ evaluation and Meso-NH LES with low-cloud processes. They demonstrate related training activity, not this student's supervisors or timetable. National guidance describes doctoral-school admission, a training agreement/charter and annual re-enrolment; a 36-month job contract does not remove those requirements or guarantee a degree after exactly three years. Confirm required training, reviews, registration fees and any extension arrangements. Other doctoral projects, registration framework, next steps.

Team Research and Three Recent Papers

No individual supervisor is confirmed by the vacancy. The official team directory and the primary HAL profile identify relevant researchers and publications, but do not establish their role on this recruitment. The following papers are therefore LMD/EMC3 team and method background, not a claimed publication record of an already identified supervisor. Team directory, HAL profile.

1. Vignon, Raillard, Borella, Rivière and Madeleine, 2026, Atmospheric Chemistry and Physics 26, 1847–1865. Their LMDZ single-column work couples cloud microphysics and turbulent diffusion, recovering a decoupled polar cloud with liquid near the top and precipitating ice below. It also captures the cloud-top cooling/turbulence/liquid feedback. Water paths remain underestimated and turbulence too concentrated near the top, with missing downdraft treatment suggested as a cause. The project relevance is a precise process-to-parameterization question, not evidence that polar boundary clouds are already solved. The discussion covers the abstract and selected conclusions/contributions; it is not a full-paper assessment. Paper.

2. Raillard, Vignon, Rivière and Madeleine, 2026, JAMES, e2025MS005100. The phase-partitioning scheme uses turbulent kinetic energy, resolved vertical motion and existing ice properties, rather than temperature alone. Southern Ocean MARCUS and Arctic RALI-THINICE observations test the scheme, with improved spatial phase variability and liquid-layer structure. This demonstrates an observational evaluation strategy and physical modelling direction; case validation is not continent-wide Antarctic validation. The discussion covers the abstract and selected evaluation sections; it is not a full-paper assessment. Paper.

3. Vignon et al., 2026, Geoscientific Model Development 19, 239–259. An intermediate-complexity blowing-snow parameterization balances physical detail against general-circulation-model cost and stability. Evaluation over Adélie Land is reasonable in summer, but coastal winter blowing snow is overestimated alongside wind bias. It shows why polar boundary conditions and season-dependent errors can complicate attribution of cloud errors. Blowing snow is a contextual example, not an additional advertised thesis package. The discussion covers the abstract and selected summary; it is not a full-paper assessment. Paper.

Ricaud et al.'s 2024 Dome C study provides separate observational context for supercooled liquid and radiative forcing. Dome C is one location and must not be treated as representative of every Antarctic cloud regime. Observations.

Funding, Application and Paris Living Cost

The advertised contract is full time for 36 months, starting 1 January 2027, with at least €2,300 gross/month, 44 days annual leave/RTT, 75% transport-cost coverage and a sustainable mobility allowance up to €300, subject to applicable conditions. The national doctoral-contract explanation corroborates the employment framework and €2,300 gross minimum from January 2026. This is salary before deductions, not a tax-free stipend or an established take-home figure. The minimum 36-month gross arithmetic is €82,800, without assuming future adjustments. Vacancy, doctoral employment.

For a city comparator, Sciences Po advises average Paris rent of €885/month and a total living budget of at least €1,235/month. The latter annualises to €14,820; the same page mixes different academic-year charges, and these are neither a 2027 LMD housing quote nor a sufficient personalised budget. Deposit, relocation and travel can add substantial initial costs. Do not subtract living costs directly from gross pay to claim disposable income or savings. Obtain a payroll illustration and realistic housing offers, then verify registration/CVEC charges, insurance and transport eligibility. Unrelated Sciences Po tuition rates are not applicable. Paris budget.

The vacancy states Master's/BAC+5, but does not specify marks, English/French test thresholds, national-equivalence rules or all application materials. It gives an email contact option without naming a supervisor or direct address. Follow its application route before the Paris-time deadline; clarify international recruitment, hosting/residence procedures and how the January start can be met. The vacancy text does not state a nationality restriction; formal admission and employment checks still apply.

Applicant Fit and Preparation

Atmospheric physics, meteorology, applied mathematics or related scientific-computing experience could support the research fit; these are analytical suggestions rather than added formal prerequisites. Evidence of fluid/cloud-process reasoning, scientific programming, numerical testing and honest uncertainty assessment is useful. An application should connect to all three stages and explain one's actual contribution to a relevant project. Prior use of both named models is not stated as mandatory.

Career and Field Context

The transferable skill set includes atmospheric data analysis, numerical/HPC modelling, physical parameterization and reproducible software. WMO describes scientific and technical weather/climate career channels; the UK government's meteorologist profile includes research and climate modelling. These sources support career directions, not French salaries, project placements, labour shortages or a guaranteed route into an international organisation. The cited career sources do not provide a forecast or graduate-outcome data for this post. WMO, career profile.

Next Actions and Questions to Verify

Before applying: obtain the three researchers' names, formal director/HDR and daily guidance roles, registering/awarding institution and doctoral school; confirm degree equivalence, language requirements, materials, deadline and international onboarding.

At interview: ask which observations and case studies are committed, how uncertainty and co-location will be handled, which Meso-NH/LMDZ versions and baseline schemes apply, what cross-regime metrics define success, and what HPC/storage/technical support is funded. Clarify fieldwork expectations and the division of observation, LES and parameterization work.

Before accepting: obtain the gross/net payroll explanation, fees and housing support, supervision/training/review arrangements, data and code rights, three-year milestones and contingency if access or model development is delayed. A feasible pipeline and clear doctoral registration matter more than an assumed polar expedition.

Evidence and Sources

The saved vacancy material does not establish whether applications are still being accepted; confirm the current status on the official page before applying. Each of the three article discussions states its evidence scope and is not a full-paper assessment. The Dome C study provides site-specific context, not continent-wide validation or an advertised doctoral task.

Project and research environment

• Official Antarctic-cloud doctoral vacancy.

• EMC3 research programme.

• EMC3 official staff directory.

• LMD doctoral-school affiliations.

• LMD2025 doctoral cohort research examples.

• LMD research and sites.

• Meso-NH official model portal.

• IPSL LMDZ documentation.

Team and original papers

• Vignon et al. (2026), coupled and decoupled polar mixed-phase clouds.

• Raillard et al. (2026), turbulence-informed cloud phase partitioning.

• Vignon et al. (2026), blowing-snow parameterization.

• Ricaud et al. (2024), Dome C supercooled cloud observations.

• Etienne Vignon HAL publication profile.

Training, contract, cost and careers

• National doctoral research frameworks.

• National public-law doctoral contract explanation.

• National PhD admission and annual registration.

• National doctoral next-step guidance.

• Paris student living-budget comparator.

• WMO research and meteorology career routes.

• UK National Careers meteorologist profile.

• QS2027 Sorbonne overall university ranking: contextual partner only.

Known bibliographic details

• Etienne Vignon; Lea Raillard; Audran Borella; Gwendal Riviere; Jean-Baptiste Madeleine. Modeling the coupled and decoupled states of polar boundary-layer mixed-phase clouds. Atmospheric Chemistry and Physics 26, 1847–1865, 2026. Record.

• Lea Raillard; Etienne Vignon; Gwendal Riviere; Jean-Baptiste Madeleine. A Turbulence-Informed Parameterization of Phase Partitioning in Stratiform Mixed-Phase Clouds for the LMDZ Model. JAMES, e2025MS005100, 18 June 2026. Record.

• Etienne Vignon; Nicolas Chiabrando; Cecile Agosta; Charles Amory; Valentin Wiener; Justine Charrel; Thomas Dubos; Christophe Genthon. Intermediate-complexity parameterisation of blowing snow in the ICOLMDZ AGCM: development and first applications in Antarctica. Geoscientific Model Development 19, 239–259, 8 January 2026. Record.