Research Associate - Seismic Data Interpretation Inversion Using Deep Learning Techniques
Research Associate - Seismic Data Interpretation Inversion Using Deep Learning Techniques
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Job Description
Role:Research Associate
Grade and Salary: Gradeper annum
FTE and working pattern: 1 FTE 35hrs per week Monday Friday
Contract: 12 Months FixedTerm
Holiday Entitlement: 33 days annual leaveplus 9 buildings closed days (and Christmas Eve when it falls on a weekday)
Purpose of Role
The School of Energy Geoscience Infrastructure and Society at HWU is seeking an exceptional postdoctoral research associate to work ondeveloping deep learning techniques for automatic seismic interpretation fault detection seismic image enhancement and alignment to other data sources (e.g. automated welltoseismic tie). This project is industrially funded and the successful applicant is expected to support two PhD students working on the same project. The project will build on recent methods developed for computer vision (image segmentation image superresolution image generation and synthesis) and aims at developing fitforpurpose deep learning techniques to ensure realism of the geological interpretations and preserve the inherent uncertainties in the seismic data. The applicant will undertake all the necessary research and development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration (three years) the developed algorithms is expected to reach a medium to high TRL.
The applicant will join a world leading research group at the Institute of GeoEnergy Engineering (IGE) at HeriotWatt University (HWU) with opportunities for collaboration with researchers working on various machine learning and artificial intelligence applications.
Key Duties & Responsibilities
The position requires collaboration within a multidisciplinary research environment consisting of mathematicians geophysicists computational scientists and engineers in support of the project. Specific responsibilities include:
- Develop deep learning algorithms for seismic data processing interpretation and inversion
- Apply the developed algorithm to standard benchmark datasets as well as proprietary largescale datasets provided by the industrial project funder
- Document and publish the research results in peerreviewed journals
- Report and present findings at international conferences
Please note that this job description is not exhaustive and the role holder may be required to undertake other relevant duties commensurate with the grading of the post. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve. A flexible working schedule may be required to meet all key duties and responsibilities.
Essential & Desirable Criteria
Essential
- The minimum required education is a Ph.D. in mathematics geophysics computational science and/or engineering with strong computational background.
- Prior experience in developing novel deep learning algorithms
- Prior experience in seismic data processing and inversion
- High level competence in statistics and nonlinear optimization
- Strong track record of publications in high impact scientific journals
- Demonstrated written and oral communication skills
- Excellent programming skills (interpreted language python or julia and compiled languages C or Fortran)
- Good team player with excellent communication skills
- Good presentation skills and selforganised
Desirable
- Knowledge of modern software development techniques (version control software testing and documentation)
- Prior experience on competitive machine learning tasks (e.g. Kaggle competitions)
How to Apply
Applications can be submitted up to midnight(UK time)on Sunday 27th April 2025.
Pleasesubmit the following via the HeriotWatt online recruitment;
- Curriculum Vitae (CV) including a recent list of publications
- Statement of Research detailing the significance of your current research activities as well as the technical background that fits within the advertised position
- A minimum of 2 Letters of Reference describing your research contributions
- Verifiable list of programming skills (e.g. GitHub repositories Kaggle account)
For any technical and informal queries pleasecontact Prof. Ahmed H. Elsheikh . Please reference the position title when corresponding about this position.
We welcome and will consider flexible working patterns e.g. parttime working and job share options.
HeriotWattUniversity is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected trained promoted appraised and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all.
HeriotWattUniversity values diversity across our university community and welcomes applications from all sectors of society particularly from underrepresented groups. For more information please see our website also our awardwinning work in Disability Inclusive Science Careers our total rewards calculator: see the value of benefits provided by HeriotWatt University.
About HeriotWatt University
At HeriotWatt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.
Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with wellbeing and inclusiveness at the heart of our global community.
Required Experience:
IC
Employment Type
Full-Time
