Job description
Woods Hole Oceanographic Institution (WHOI) invites applications for the position of Senior Oceanographer in the Physical Oceanography program. This is a full-time, research-focused role designed to advance ocean dynamics, climate science, and ecosystem understanding through high-quality observations, data synthesis, and modeling.
In this role you will collaborate with scientists across disciplines, lead field campaigns, oversee data processing pipelines, and contribute to funded research programs with high societal impact.
We offer a competitive compensation package, relocation support where applicable, and a vibrant scientific community at one of the world's leading oceanographic institutions.
Applicants should be prepared to work in the United States and travel for field operations as needed.
Responsibility
- Plan and lead field campaigns to acquire high-quality physical oceanography data using CTD rosettes, ADCPs, Argo floats, gliders, and related instruments
- Develop and maintain robust data processing, quality control, and archiving pipelines for large, multi-sensor datasets
- Apply and advance numerical models, data assimilation, and analysis techniques to interpret observations and forecast ocean state
- Collaborate with interdisciplinary teams to translate findings into climate, coastal, and ecosystem applications
- Publish results in peer-reviewed journals and present at national and international conferences
- Mentor and supervise graduate students, technicians, and junior scientists; oversee instrumentation and field operations
- Lead grant writing, project planning, and budget management to secure funding from NSF, NOAA, and other agencies
Qualification
- PhD in Oceanography, Physical Oceanography, Marine Science, or a closely related field, or PhD with substantial postdoctoral experience
- Strong experience with ocean observing systems (CTD, ADCP, Rosette, gliders, Argo) and data management
- Proficiency in programming and data analysis using Python, MATLAB, and R; strong visualization and statistical skills
- Proven record of peer-reviewed publications and success in securing research funding
- Experience with numerical modeling, data assimilation, and scenario analysis
- Excellent communication and collaboration skills; ability to present complex results to diverse audiences
- Ability to work in a team environment and travel for field operations