QIF 2020 Europe

2020 Europe Program Details

In 2012, Qualcomm Research established a fellowship program in Europe following the successful model in the U.S. For 2020 the program in Europe will be run as a single competition where students from all invited universities in Europe compete. Each winning student receives a fellowship in the amount of $40,000 for the upcoming academic year and is assigned a Qualcomm researcher as a mentor to facilitate close collaboration and interaction with Qualcomm’s corporate research center. The European winners are also invited to join the U.S. winners day at the Qualcomm headquarter in San Diego, CA.

We believe that research and development is the key to harnessing the power of imagination and to discovering new possibilities. We are excited to announce a new kind of Fellowship that promotes Qualcomm’s core values of innovation, execution and partnership. Our goal is to enable students to pursue their futuristic innovative ideas.

Submit your application at: 2020 Europe Submission

Finalist Selections
Application Process
Participating Universities
Areas of Interest




Innovation Title

University of Cambridge

David Burt

Carl E. Rasmussen, Mark van der Wilk

Variational Inference in Compositional Models

Imperial College London

Miguel Cacho Soblechero

Pantelis Georgiou, Jesus Rodriguez Manzano

Sense-aware System-on-Chip for ISFET diagnostic platforms

Vrije Universiteit Amsterdam

Pietro Frigo

Cristiano Giuffrida

Cristiano Giuffrida

University of Cambridge

Vidhi Ramesh Lalchand

Carl E. Rasmussen

Probabilistic Kernel Learning in Gaussian Processes

University of Oxford

Yuki Asano

Andrea Vedaldi

Learning self-supervised learning

We received 45 proposals and enjoyed reading about your innovative ideas. Each proposal was evaluated by multiple researchers in the Qualcomm Research division. After some tough discussions and careful consideration we decided to select the following 15 proposals for the finalist presentations:

Name Innovation Title University Supervisor
Chen Liu Neural Architectural Design Resistant Against Adversarial Attacks EPF Lausanne Sabine Süsstrunk,Mathieu Salzmann
Daniel Joseph Ringis Using deep learning for efficient per clip encoding with modern video codecs Trinity College Dublin Anil Kokaram
David Burt Variational Inference in Compositional Models Cambridge Carl Edward Rasmussen,Mark van der Wilk
David W. Romero Equivariant generative Networks Vrije Universiteit Jakub M. Tomczak,Mark Hoogendoorn
Denys Rozumnyi Detection and reconstruction of fast moving objects ETH Zurich Marc Pollefeys, Jiri Matas
Edoardo Remelli Enabling Differentiable Multi-Topology Mesh Representations through Shape Derivative EPF Lausanne Pascal Fua
Erik Daxberger Towards Efficient Deep Uncertainty Quantification Cambridge José Miguel Hernández-Lobato
Fangcheng Zhong Zhong Learn a Path to Perceptual Realism Cambridge Rafal Mantiuk
Georgios Rizos Uncertainty Aware Acquisition Policies for Addressing the Exploration Versus Exploitation Problem in Active Learning ICL Bjoern Schuller, Abbas Edalat
James Meech Efficient Programmable Non-Uniform Random Variate Generation for Sensor Fusion Cambridge Phillip Stanley-Marbell
Miguel Cacho Soblechero Sense-aware System-on-Chip for ISFET diagnostic platforms ICL Pantelis Georgiou,Jesus Rodriguez Manzano
Ning Yu Inclusive GAN: Reducing Bias in Generative Models by Improving Coverage and Equalizing Utility MPI Mario Fritz, Larry Davis
Pietro Frigo Reverse Engineering in-DRAM Rowhammer Mitigations via Automata Learning Vrije Universiteit Cristiano Giuffrida
Vidhi Ramesh Lalchand Probabilistic Kernel Learning in Gaussian Processes Cambridge Carl Edward Rasmussen
Yuki Asano Learning self-supervised learning University of Oxford Andrea Vedaldi

We will be awarding Fellowships to 3 to 5 winning students for the 2020-21 academic year.

Each of the winning students will be awarded a $40,000 fellowship for submitting the most innovative proposal. The respective academic departments at each university will administer funds to the winning students for their fellowship work and research expenses for the academic year of 2020–21.

Submit your application at: 2020 Europe Submission

The main judging criterion is an innovation proposal that must include:

  • Introduction and problem definition
  • Innovation proposal and relation to the state of the art
  • The one-year horizon of the project (even if the proposal is a multi-year project)
  • The strength of the student for achieving the proposal milestones

See FAQs for more details.


Winners will be selected through a two-phase process:

1. Finalists selection: Applications must be submitted online by the deadline noted in the Timeline tab. Each application must include (in PDF or Word format):

  • Three-page proposal summarizing your innovative idea
  •  Letter from one or more faculties recommending the innovation
  • Signed copy of the official rules document (Download the official rules document)
  • Student’s CV
  • Above information should be sent in a single zip file named QIF2020_[student-name].zip 

2. Winners selection: Finalists must prepare a 15-minute presentation for the judges. Presentation must be in PowerPoint or PDF format. The presentation generally includes:

  • The idea
  • The differentiating factors from state of the art
  • The execution plan / strength of the student

Please check back to this page regularly for application and program updates.


Faculty & Mentor

In addition to the faculty advisor(s) to guide the fellowship research, Qualcomm will also provide industry experts to mentor the students, as well as regular collaboration opportunities with Qualcomm Research & Development to further assist with projects. Successful projects will be reevaluated after one year for further research funding from Qualcomm.

More Info?

Do you need further information? Please direct your questions to: innovation.fellowship.europe@qti.qualcomm.com


Qualcomm Research is a division of Qualcomm Technologies, Inc.

The following shows a set of focus areas for this year, but outstanding proposals in other areas will be considered as well:

  • Machine Learning and Deep Learning for Vision
  • Action and Event Recognition
  • Fine-grained Image Recognition
  • Object Recognition and Scene Understanding
  • Person/Face Detection and Tracking
  • Autonomous Navigation
  • Data Compression using Generative Models
  • Zero-shot and weakly supervised learning
  • 3D Model Acquisition
  • Event-based sensing for Vision
  • Use of Sensors and Hybrid Approaches
  • Optimization Techniques for Mobile Devices
  • Attacks on machine learning models and countermeasures
  • Tools and techniques for finding exploitable bugs in kernel SW and firmware & countermeasures
  • Micro-architectural attacks, timing side-channels, countermeasures
  • Enclaves/containers and heterogeneous architectures

Note: We also welcome proposals in other areas since we are very keen to learn about things we do not know!

Program launch: Launch with e-mail & posters December 2019 - Info session January 2020

Proposal submission deadline: Feb 14, 2020, at 23:59:59 GMT

Finalist announcement: March 27, 2020

Deadline for presentation submission: May 14

Finalist presentation: May 19/20 

Winner announcement: May 2020


Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past:

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