Post-Doctoral Fellow

TN United Kingdom; Worcester; On-site; GBP 35,000 - 55,000; Full time

Job summary

Join a dynamic research team as a Post Doctoral Fellow, where you will contribute to innovative projects at the forefront of Machine Learning applications in soil science. This role offers an exciting opportunity to develop cutting-edge algorithms and methodologies while collaborating with a diverse group of researchers. Your work will not only advance academic knowledge but also contribute to practical solutions in environmental science. With a focus on professional growth, you will have the chance to publish your findings and engage in interdisciplinary discussions, making a significant impact in the field. If you're passionate about research and eager to push the boundaries of technology, this position is perfect for you.

Qualifications

• PhD or advanced training in Computer Science, Data Science, or related fields.
• Demonstrated proficiency in Machine Learning and algorithm development.

Responsibilities

• Conduct original research on Machine Learning for soil subsurface assessment.
• Develop algorithms for characterization of soil conditions.

Skills

Machine Learning

Python

R

MATLAB

Analytical Skills

Interpersonal Skills

Collaborative Skills

Communication Skills

Education

PhD in Computer Science

Advanced Graduate-Level Training

Job description

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JOB TITLE

Post Doctoral Fellow

LOCATION

Worcester

DEPARTMENT NAME

Physics - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

Job Description Summary

The successful candidate will be part of a dynamic and collaborative research team within the SoilX laboratory, contributing to groundbreaking research projects and gaining significant professional and academic development opportunities.

Responsibilities:

1. Conduct original research focused on Machine Learning methodologies applied to soil subsurface assessment.
2. Develop innovative algorithms and analytical methodologies for accurate characterization and evaluation of soil subsurface conditions.
3. Actively collaborate with peers and team members within the SoilX laboratory to ensure integrated and cohesive research outcomes.
4. Provide technical guidance and support to other graduate and undergraduate students engaged in related research within the SoilX lab.
5. Regularly document research progress, analyze results, and prepare comprehensive reports.
6. Write, edit, and contribute to the publication of scholarly articles and conference papers based on research findings.
7. Participate in lab meetings, presenting research progress and engaging in collaborative discussions and critiques.
8. Stay current with the latest developments and methodologies in Machine Learning, Artificial Intelligence, and soil science literature relevant to the research.

Qualifications:

1. PhD or advanced graduate-level training in Computer Science, Data Science, Electrical Engineering, Environmental Science, or a closely related field.
2. Demonstrated proficiency in Machine Learning techniques and algorithm development.
3. Strong analytical and programming skills (e.g., Python, R, MATLAB).
4. Previous experience in geosciences, environmental science, or soil science is highly desirable.
5. Proven ability to produce scholarly publications.
6. Strong interpersonal, collaborative, and communication skills.

Preferred Experience:

1. Familiarity with applications of Machine Learning to geospatial data and subsurface characterization.
2. Experience working in interdisciplinary research teams.
3. Track record of peer-reviewed publications and presentations at academic conferences.

FLSA Status

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.