PRR Project
Assistant Researcher in Marketing using AI Applications
Project sheet
Name
Assistant Researcher in Marketing using AI ApplicationsTotal project amount
246,79 thousand €Amount paid
0 €Non-refundable funding
246,79 thousand €Loan funding
0 €Start date
01.02.2025Expected end date
31.03.2026Dimension
ResilienceComponent
Qualifications and SkillsInvestment
Science Plus TrainingOperation code
02/C06-i06/2024.P2023.14577.TENURE.038Summary
An Assistant Researcher in Marketing using Artificial Intelligence (AI) applications with skills in both Marketing and Data Analytics. This role demands a high level of expertise in AI applications and algorithms tailored to Marketing strategies and a focus on ethical AI use, data privacy, and enhancing public/consumer engagement with AI technologies. The candidate should hold a Ph.D. in Marketing or Management and demonstrate a strong publication record in top-tier journals (ABS, FT50 ranking), particularly on the implications of Artificial Intelligence for Marketing. This position will be crucial in bridging the gap between AI technologies and marketing strategies to enhance consumer interactions and market understanding. Key Responsibilities: • Conduct cutting-edge research on Marketing using AI applications focusing on consumer behavior, digital marketing strategies, and consumer-AI-embedded agent interactions. • Apply advanced analytics and machine learning models to solve complex marketing challenges. • Collaborate with cross-functional teams to integrate AI technologies into marketing strategies. • Analyze large datasets to derive insights into consumer behaviors and market trends. • Participate in interdisciplinary teams to inform public policies, regulations, and legislation on AI, ensuring a participatory approach to the digital transformation of businesses and public services. • Publish findings in top-tier academic journals (ABS and FT50) and present at top-tier international conferences in Marketing. • Develop, submit, manage, and participate in national and international projects. • Guide junior researchers and contribute to the academic environment of the institution. Scientific Profile: • Ph.D. in Marketing, Management, or related fields, with expertise in AI, data analytics, or digital transformation. • Proven track record of publications in top-tier journals in the field of Marketing or AI applications in Marketing. • Knowledge of data analytics, machine learning algorithms, and their applications in Marketing. • Demonstrated ability to apply AI technologies to real-world marketing problems. • Excellent analytical, problem-solving, and communication skills. Rationale: The rapid progress of digital transformation is sparking discussions among policymakers, academics, industry leaders, and thinkers due to its extensive impact on diverse aspects of human life and society. The unpredictable and fast-paced nature of how society adopts digital technologies, along with the broad range of outcomes these technologies produce, presents significant challenges for developing an effective use of AI as a driver of change. It is becoming increasingly apparent that digital transformation, when used appropriately, can be a potent tool for sustainable development. However, it also creates new difficulties for societal cohesion, requiring more robust governance structures and greater involvement from citizens and, in this specific case, consumers. Marketing plays a crucial role in ensuring the ethical use of AI and data, building citizen/customer engagement, and contributing to transparent governance while also enhancing human-machine interactions to create a more advanced society. The importance of AI in Marketing is undeniable and is set to increase exponentially in the future. AI technologies offer unprecedented opportunities to understand and interact with consumers in a more personalized and efficient way. Adding an Assistant Researcher in Marketing using AI Applications is crucial for staying at the forefront of this technological advancement. This position will enhance our research capabilities and ensure that the latest AI developments inform our marketing strategies. Through this role, we aim to deepen our understanding of consumer behaviors and preferences, optimize marketing strategies, by developing theoretical and practical contributions for Marketing, and ultimately help companies achieve a competitive advantage in the marketplace. Hiring Institution Requirements: • Commitment to excellence in research in Marketing using AI applications. • Ability to work collaboratively within and across institutions. • Eagerness to mentor and develop junior researchers. • Strong commitment to ethical research practices. This position represents an exceptional opportunity for a skilled individual to make significant contributions to the field of Marketing with AI applications, leveraging advanced technologies to shape the future of consumer interactions and market strategies.
Beneficiaries
The two types are::
- Direct Beneficiaries are those whose funding and projects to implement are part of the Recovery and Resilience Plan that has been negotiated and approved by the European Union;
- Final Beneficiaries are those whose funding and projects to implement are approved following a selection process through Calls for Applications.
Call for applications
As part of the Call for Applications, submissions are requested to select the projects and final beneficiaries to whom funding will be awarded. Specific selection criteria are defined for each call, which must be reflected in the applications submitted and assessed.
The project is appraised on the basis of its compliance with the selection criteria laid down in the calls for applications, and a final score may be awarded, where applicable.
Final evaluation score
The components for calculating the assessment score can be found in the selection criteria document mentioned below.
Selection criteria
Beneficiaries
Intermediate beneficiaries
Procurement
Beneficiaries representing public entities implement their project by signing one or more contracts with suppliers for goods or services through public procurement procedures.
To ensure and provide the utmost transparency in all these contracts, a list of the contracts that were signed under this project is available here, along with the information available on the Base.Gov platform. Please note that, according to the legislation in force at the time the contract was signed, some exceptions do not require the publication of the contracts signed on this platform, and, therefore, no information is available in such cases.
Geographic distribution
246,79 thousand €
Total amount of the project
Where was the money spent
By county
1 county financed .
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Lisboa 246,79 thousand € ,