A $40,000 partnership between APR.Intern and Food Innovation Australia Limited (FIAL) will accelerate STEM PhD research talent into food and agriculture businesses nationally.
Under the agreement, FIAL will provide 20 food and beverage businesses with a subsidy of up to $4,000 on the cost of a PhD student research placement. Facilitated by APR.Intern, the 3-5 month placements connect the FIAL network and food sector with some of Australia’s brightest PhD-level research talent. The FIAL subsidy can also be used as a travel/relocation fund to support student access to internship opportunities.
Further to the FIAL subsidy, under the Australian Government’s National Research Internship Program (NRIP), businesses may also receive a 50 per cent rebate on remaining costs.
About FIAL
Food Innovation Australia Limited (FIAL) is the catalyst that encourages the food and agribusiness industry to work collaboratively to grow the share of Australian food in the global marketplace. FIAL influences the industry by sharing knowledge, building capability and creating connections.
PROJECT COSTS
3-MONTH PROJECT COST: $20,000
FIAL VOUCHER CONTRIBUTION: $2,000
INDUSTRY PARTNER UPFRONT COMMITMENT: $18,000
GOV. REBATE TO INDUSTRY PARTNER: $9,000
NET COST TO INDUSTRY PARTNER: $9,000
HOW IT WORKS
COST-EFFECTIVE
- Access to specialised PhD expertise
- Used for controlled practice growth
- Suitable for short-term skill needs
- Eligible for R&D tax incentive
RAPID RESULTS
- Short, intensive 3-5 month projects for quick implementation of results
- Quick turnaround on establishment
- Responsive to changing business needs and priorities
HASSLE FREE
- IP stays with company
- No employment requirements
- Pre-approved contract
- Simple and transparent model
- Proven and trusted
INDUSTRY ELIGIBILITY
- Proposal must have relevance to furthering innovation in Australia’s food and beverage industry
- One FIAL Intern Voucher per business per year
- Project subject to FIAL review and approval
- Project proposal should be aligned with Industry 4.0 principles, including transformative technologies such as advanced manufacturing, machine learning, AI, sensor technology and data analytics
FOR MORE INFORMATION
