PhD studentship in Control and Engineering Biology at University of Oxford

Laplace Expert Ltd; Oxford; Hybrid; GBP 18,000 - 23,000; Full time

Benefits offered by this job

Fully funded

Stipend

Tuition covered

Annual stipend

Job summary

University of Oxford is offering a PhD studentship in Control and Engineering Biology in Oxford, United Kingdom. The program focuses on developing control, automation and AI methods to engineer biological systems, within the Biotechnology field. The position is on-site and full-time, reference code DTA504.

The PhD is hosted by the Department of Engineering Science and provides a fully funded stipend with tuition coverage per year in Oxford, UK.

Qualifications

• Applicants should hold, or expect to obtain, a strong relevant undergraduate degree or equivalent.
• Experience in control engineering, synthetic biology, AI and ML is expected.
• Strong research communication and teamwork skills are essential.

Skills

Control engineering

Synthetic biology

Artificial intelligence

Programming

Machine learning

Education

Undergraduate degree in a relevant field

Job description

PhD studentship in Control and Engineering Biology at University of Oxford

University of Oxford · Department of Engineering Science

Not specified

About This Opportunity

University of Oxford is offering a PhD studentship in Control and Engineering Biology in Oxford, United Kingdom. The opportunity is relevant to Biotechnology and focuses on the research, training, or professional activities described in the official vacancy.

This PhD studentship at University of Oxford focuses on Control and Engineering Biology. Develop control, automation and AI methods for engineering biological systems. The opportunity is based in Oxford, United Kingdom and sits within Biotechnology.

Control and Engineering Biology Biotechnology

Level PhD

Attendance On-site

Time Commitment Full-time

Reference Code DTA504

Field Control and Engineering Biology

Specialization Biotechnology

Organization Type University

Funding & Compensation

• Amount Fully Funded
• Funding Type Stipend
• Funding Status Fully Funded
• Period Per Year
• Tuition Coverage Fully Covered
• Stipend Yes

Requirements

Education

Applicants should hold, or expect to obtain, a strong relevant undergraduate degree or equivalent; consult the official advert for the exact threshold.

Experience

Technical Skills Control engineering Synthetic biology Artificial intelligence Programming Machine learning and artificial intelligence

General Skills

Research communication Independent research Teamwork