Research Fellow in Applied Observational Oceanography - Bangor University

Bangor University; Bangor; On-site; GBP 42,000 - 62,000; Full time

Job summary

Bangor University invites a Research Fellow in Applied Observational Oceanography to join the School of Ocean Sciences. The role focuses on observational research at shallow coastal sites around Wales, supporting ocean energy initiatives.

The post is a fixed-term 41 months, involves data collection, analysis and model integration, and requires collaboration with stakeholders to advance coastal ocean science.

Qualifications

• PhD required in physical science related to oceanography, physics, or engineering.
• Experience in using and managing electronic instrumentation for oceanographic data collection.
• Strong publication record and track record in grant applications.

Responsibilities

• Maintain and manage real-time buoy networks for waves, currents and benthic data.
• Operate and oversee real-time/marine observational instrumentation; collect hydro- and sediment dynamics data.
• Analyse data to address scientific questions and assimilate data into models.

Skills

Programming (Python, MATLAB, R, FORTR

Education

PhD in physical oceanography/physics/engineering

Tools

Real-time ocean observation systems

Cloud frameworks

HF-radar / X-Band experience

Job description

OverviewResearch Fellow in Applied Observational Oceanography - Bangor University.

A 41 month fixed term post based in the School of Ocean Sciences to undertake observational research into coastal ocean processes at shallow tidally energetic and wave exposed sites around Wales, UK, to support ocean renewable and offshore wind energy exploitation.

Responsibilities

• Maintain and manage a network of real-time observational wave, current and benthic data buoy systems operated by the School of Ocean Sciences.
• Operate and oversee real-time and remote sensing marine observational instrumentation; collect hydro- and sediment dynamics data.
• Analyse data to address scientific questions relating to fluxes of momentum and materials; assimilate observational data into numerical models and improve model implementations.
• Publish findings at an international level and present high-impact results at conferences.
• Develop research proposals and lead grant applications related to coastal ocean processes;
• contribute to project administration and leadership activities (Grade 8).
• Work within a multidisciplinary team to facilitate cyberinfrastructure linking real-time sensor networks with data applications, and develop cloud-based infrastructure between sensor networks and data methodologies.
• Collaborate with stakeholders (external and internal) and participate in project meetings; liaise with partners to meet aims and objectives.

Project Context

The project includes the Smart Efficient Energy Centre (SEEC), a £7M ERDF-funded initiative administered through WEFO, aimed at increasing Bangor University's success in attracting competitive and private research funding in low carbon energy research and enhancing specialist research capacity. SEEC focuses on data, modelling, and knowledge resources to develop smart sensor networks and diagnostic/prognostic models to reduce engineering uncertainties and increase resource efficiencies in low carbon electricity generation (nuclear, ocean renewable offshore wind) and utilisation (building materials and structures).

Qualifications and Experience

• Essential: PhD standard (or equivalent) in an area of physical science such as oceanography, physics or engineering; experience in actively using and managing electronic instrumentation to collect oceanographic data; strong publication record in peer-reviewed journals; experience in developing research grant applications.
• Desirable: Experience at sea aboard research vessels; interdisciplinary collaboration experience; understanding of cloud-based frameworks; track record of grant capture; experience with X-Band or HF-radar systems.

Skills and Abilities

• Numerate and able to work with large datasets using programming languages (e.g. FORTRAN, MATLAB, Python, R).
• Strong analytical capabilities; ability to analyse numerical data and present results clearly.
• Ability to prioritise workload and meet deadlines; flexible to operate in marine environments and travel as needed.

Other Information

Commitment to equality policies, health and safety, and bilingual considerations as applicable to the institution and region. This is a fixed-term position; the successful candidate will commence as soon as possible and the end date will be specified in the appointment notice. #J-18808-Ljbffr