PTDF Targets Candidates To Tackle Nigeria’s Energy Challenges

The Petroleum Technology Development Fund (PTDF) yesterday commenced the second phase of its Overseas Scholarship Scheme (OSS) interviews, declaring that only candidates with the capacity to solve Nigeria’s energy challenges will scale through.

At the Kaduna centre, where shortlisted PhD applicants appeared before expert panels, the Fund made it clear that academic excellence alone would not suffice, as research relevance to the oil and gas sector now takes priority.

Supervising the exercise, PTDF’s Head of Information Technology, Prof. Abdulkadir Hamidu Alkali, said the process followed a rigorous screening stage that involved verification of credentials and merit-based shortlisting.

According to him, the interviews are being conducted in phases, with MSc candidates attended to in the first week and PhD applicants in the second.

Alkali stressed that the scholarship scheme remains a strategic pipeline for developing high-level manpower for Nigeria’s oil and gas industry, with a renewed focus on solution-driven research.

“For years, PTDF has sponsored scholars abroad to acquire knowledge and return home to contribute to national development,” he said.

He added that the Fund has introduced a transnational education model, enabling candidates to study partly in Nigeria and partly in the United Kingdom.

The initiative, he noted, is strengthening collaboration between Nigerian academics and their international counterparts while ensuring that research outputs address local industry needs.

A representative of the Federal Character Commission (FCC), Dalhatu Yusuf Ibrahim, who monitored the exercise, described the process as transparent and equitable.

Dr. Alowolodu Olufunsho, an associate professor of cybersecurity at the Federal University of Technology, Akure, said while some candidates demonstrated strong technical depth, overall performance varied.

“We are looking for applicants who can contribute to knowledge and provide practical solutions, especially within the oil and gas sector,” she said.

Some candidates described the process as rigorous but engaging, with panels testing both theoretical knowledge and practical relevance of research proposals.

Muhammad Harun Najumari, a lecturer at the Federal University of Education, Zaria, said his research on using hybrid machine learning to predict faults in safety-critical equipment attracted keen interest from panelists.