ARMADA

Reliable Conversational Domain-specific
Data Exploration and Analysis

Open Positions

This page publishes calls for applications for each individual task and hosting partner. You are welcome to submit your expression of interest at any time.
The recruiting process will conclude before August 31, 2025.

Full information on the program for the Work Programme 2023-2025

For question or comments, please send an email to the project coordinator: Matteo Lissandrini at project.armada@ateneo.univr.it

Research Work Packages (WP1-WP5)

This program offers training for experts in the area of Conversational AI. The network provides research training through summer and winter schools on multidisciplinary themes, as well as workshops and courses to foster complementary skills such as scientific writing, innovation, supervision, and management.

The 8 organizations, located in 7 countries and managed by a highly diverse team of expert researchers, will form an interoperability scheme to share knowledge and skills.

WP1: Efficiency
Led by Université Paris Cité (UPC)

  • T1.1: Fast and Accurate Similarity Search in High-Dimensional Vectors
    Partner: Université Paris Cité (UPC) — Call closed. (deadline: July 31st, 2025)
  • T1.2: Learning-augmented algorithms for efficient optimization and retrieval
    Partner: The KTH Royal Institute of Technology (KTH) — Apply for this task (deadline: September 25th, 2025)
  • T1.3: Data Valuation for Efficient Answering
    Partner: Utrecht University (UU) — Call closed. (deadline: May 16th, 2025)

WP2: Grounding
Led by University of Verona (UNIVR)

  • T2.1: Neuro-symbolic knowledge-aware analytical processing
    Partner: University of Verona (UNIVR) — Apply for this task (deadline: September 12th, 2025)
  • T2.2: Analysis of bias in training materials for chatbots/LLM via linguistic corpora analysis
    Partner: University of Verona (UNIVR) — Apply for this task (deadline: September 12th, 2025)
  • T2.3: Self-alignment with domain knowledge
    Partner: IBM Research Europe (IBM) — Call closed. (deadline: July 1st, 2025)

WP3: Explainability
Led by Centre national de la recherche scientifique (CNRS)

  • T3.1: Graph data model for explanations
    Partner: Centre national de la recherche scientifique (CNRS) — Call closed. (deadline: June 31st, 2025)
  • T3.2: Knowledge-Graph driven Factuality and Explainability
    Partner: Technische Universität Wien (TUW) — Call closed. (deadline: June 30th, 2025)
  • T3.3: Explainability for conversation pathways
    Partner: Centre national de la recherche scientifique (CNRS) Call closed. (deadline: July 1st, 2025)

WP4: Soundness
Led by IBM Research Europe (IBM)

  • T4.1: Robustness of Estimation and Confidence
    Partner: Aarhus University (AU) — Call closed. (deadline: July 1st, 2025)
  • T4.2: Offline Reinforcement Learning and Reward Augmented Decoding
    Partner: IBM Research Europe (IBM) — Apply directly for this task (deadline: July 31st, 2025)
  • T4.3: User-specific Reliable Knowledge Discovery for Effective Personalized Data Exploration
    Partner: Zürich University of Applied Sciences (ZHAW) — Call closed. (deadline: July 31st, 2025)

WP5: Guidance
Led by Athena Research Center (ARC)

  • T5.1: User guidance through system recommendations
    Partner: Athena Research Center (ARC) — Call closed. (deadline: July 28th, 2025)
  • T5.2: User guidance through data summarization
    Partner: Athena Research Center (ARC) — (deadline: July 28th, 2025)
  • T5.3: Online algorithms for question refinement
    Partner: Aarhus University (AU) — Call closed. (deadline: August 1st, 2025)

Call for Applications:

ARMADA will provide a 36-month training programme to 15 doctoral candidates (DCs), aiming to deliver world-class scientific education in artificial intelligence (AI), while promoting responsible research and the development of both technical and transferable skills. The programme is designed to prepare researchers to thrive in international academic and industrial environments, with strong work ethics, creativity, entrepreneurial mindset, and cultural awareness.

Present your expression of interest below:

Apply!

Scientific Supervisors

  • Valeria Franceschi, University of Verona, for Task T2.2
  • Roberta Facchinetti, University of Verona, for Task T2.2
  • Matteo Lissandrini, University of Verona, for Task T2.1
  • Davide Mottin, Aarhus University, for Tasks T4.1 and T5.3
  • Sihem Amer-Yahia, CNRS, for Tasks T3.1 and T3.3
  • Silviu Maniu, CNRS, for Tasks T3.1 and T3.3
  • Georgia Koutrika, Athena Research Center, for Tasks T5.1 and T5.2
  • Themis Palpanas, Université Paris Cité, for Task T1.1
  • Yannis Velegrakis, Utrecht University, for Task T1.3
  • Katja Hose, TU Wien, for Task T3.2
  • Aristides Gionis, KTH Royal Institute of Technology, for Task T1.2
  • Jasmina Bogojeska, Zürich University of Applied Sciences , for Task T4.3
  • Mattia Rigotti, IBM Research Europe, for Tasks T2.3 and T4.2