Tag Archives: Grant

DIGITAL SCIENCE GRANT CATALYST, 2026

Applications Deadline: Monday, 5th October 2026, 17:00 BST

LOCATION: Multiple Regions

The Digital Science Catalyst Grant is an international initiative to support innovation in new software tools and technologies to advance research and create meaningful change. The program supports and invests in early-stage ideas in the novel use of technology with an award for the most promising ideas that aid science and further its impact on society.

ELIGIBILITY:

They want early-stage startups, research projects, and moonshot thinkers building agentic tools that:

Operate across multiple steps, planning, executing, and reviewing, rather than answering a single prompt.

Embed in the workflows researchers, institutions, and publishers already use

Carry audit trails, governance controls, and provenance so the people who rely on them can trust them.

Tackle a real problem across the research lifecycle: writing, discovery, evidence synthesis, peer review, funding decisions, or research integrity.

If you’re making AI safe to put in front of an institution, autonomous in service of researchers, with accountability built in, they want to hear from you.

Applying takes one short form and a few minutes.

Who can apply? Anyone with an early-stage idea: founders, research teams, students, and individuals. Your tool can be a prototype, a working product, or a well-formed concept. They fund early, so you do not need revenue or a finished build.

What to tell them? A clear description of the problem you are solving, your approach, why it fits an agentic, trustworthy workflow, and where you are today. If you have a demo or prototype, show them.

How they choose? Their judges score each application across seven areas: team, problem, solution, competitors, market, progress to date, and fit with Digital Science. Strong applicants are invited to a short interview with a live demo (where applicable) and a few questions.

BENEFIT:

The award. Up to £25,000, which can be split across more than one recipient.

APPLY

NTU AI-FOR-X POSTDOCTORAL FELLOWSHIP

Application Deadline: 30 Oct 2026, 2359 hr (Singapore Time, UTC/GMT+8).

LOCATION: Singapore

The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme designed to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and mathematics, including medicine (STEM). Through AI4X-PDF, we aim to cultivate the next generation of research leaders working at the intersection of AI and STEM, driving innovation and strengthening Singapore’s AI-for-Science ecosystem.

ELIGIBILITY:

Applicants must meet the following criteria:

PhD (or equivalent) conferred within the past 3 years (in 2023 or later) in a STEM field

Strong academic and research record

A compelling research proposal that clearly integrates AI to solve a scientific problem

Must identify an NTU faculty member as a Project Mentor

Available to commence the fellowship by 31 March 2027

Each selected Fellow will be paired with:

A Project Mentor in their research field

An AI Mentor (assigned or selected post-award) to support AI integration

Applications must be submitted in electronic format via  NTU Online Application Portal.

Required Documents

Cover letter

Comprehensive CV (with Scopus Author ID and full publication list)

Official transcript or Degree Certificate in English (PhD’s degree)

Research proposal (max 2 pages,  download template)

Contact information of two referees* (one must be your PhD Supervisor) 

Top 3 publications (PDFs)

Mentor’s support letter (Please attach the letter of support to the research proposal and upload it as a single file in the research proposal section during submission. )

Your referees will be contacted by the university to provide their reports after you submit your application online. Please ensure that your referees have already agreed to provide their reports before you submit your application.

BENEFIT:

Up to 4 years of funding

Competitive remuneration and benefits

SGD 250,000 research grant

Continued funding if transitioning to a tenure-track or equivalent role during the award period

Access to NTU’s AI platforms, research facilities, and computing resources

Structured AI training and mentorship from NTU faculty across AI and STEM disciplines

Vital coaching on university-level teaching to aid transition to an academic career

APPLY