Overview
The Annual Conference on Parsimony and Learning (CPAL) is inviting applications for its prestigious Rising Stars Award. This award aims to recognize and support emerging talent in the fields of machine learning, signal processing, and optimization, particularly those focusing on parsimonious and low-dimensional structures. The conference will take place from March 23 to 26, 2026, in Tübingen, Germany, making it a significant event for early-career researchers.
Background & Relevance
Machine learning and its applications are rapidly evolving, with a growing emphasis on efficient models that utilize low-dimensional structures. The CPAL Rising Stars Award is designed to highlight the contributions of last-year PhD students, post-docs, early-career faculty, and industry researchers who are at the forefront of these advancements. This initiative not only promotes innovative research but also fosters a diverse and inclusive environment within the AI/ML community, which is crucial for the future of the field.
Key Details
- Application Deadline: December 15, 2025
- Notification Date: January 21, 2026
- Conference Dates: March 23-26, 2026
- Location: Tübingen, Germany
- Award Benefits:
- Full registration waiver for CPAL 2026
- Dedicated poster session for awardees
- Career-development panels and networking opportunities
- Supportive network focused on diversity and inclusion
- Application Link: Apply Now
- Guidelines: CPAL Rising Stars Guidelines
Eligibility & Participation
The award is open to full-time graduate students in their final year of PhD, post-docs, first-year tenure-track faculty, and industry researchers who have graduated within the last two years. Applicants should be engaged in research that aligns with the themes of parsimonious and low-dimensional structures in machine learning, signal processing, and optimization. Participation is encouraged from individuals across all institutions globally.
Submission or Application Guidelines
To apply for the CPAL Rising Stars Award, candidates must submit the following materials:
– Name and contact information
– Resume/CV
– Tentative poster title
– A one-page research statement detailing goals, potential projects, long-term vision, and contributions to an inclusive scientific community
– A list of 1-2 references with their email addresses
Additional Context / Real-World Relevance
The emphasis on parsimonious and low-dimensional structures in machine learning is becoming increasingly relevant as the field seeks to develop models that are not only effective but also efficient. This award serves as a platform for early-career researchers to showcase their work and engage with established professionals, thereby enhancing their career prospects and fostering collaboration.
Conclusion
The CPAL Rising Stars Award presents a valuable opportunity for emerging researchers to gain recognition and support in their academic and professional journeys. Interested candidates are encouraged to apply before the December 15 deadline and take advantage of the resources and networking opportunities available at CPAL 2026.
Category: CFP & Deadlines
Tags: machine learning, signal processing, optimization, parsimonious structure, early-career researchers, CPAL, diversity, inclusion
