Basque Center for Applied Mathematics (BCAM) offers a position of Research Fellow on Trustworthy AI – TANGO
Artificial Intelligence (AI) holds tremendous potential to enhance
human decisions and to avoid cognitive overload and bias in high-
stakes scenarios. To date, however, adoption of AI-based support
systems has been minimal in settings such as hospitals, tribunals
and public administrations. TANGO argues that in order for AI to
fully develop its enormous potential in terms of positive impact
on individuals, society and economy, we need to completely
rethink the way in which AI systems are conceived. People should
feel they can trust the systems they interact with, in terms of
reliability of their predictions and decisions, capacity of the
systems to understand their needs, and guarantees that they are
genuinely aiming at supporting them rather than some
undisclosed third party. In other words, a symbiosis should be
established between humans and machines, in which all parties
are aligned in terms of values, goals and beliefs, and support and
complement each other so as to reach objectives beyond what
each would be able to do by itself. The potential impact on
individuals and society of the TANGO framework will be
evaluated on a pool of real-world use cases of extremely high
social impact, namely supporting women during pregnancy and
postpartum, supporting surgical teams in intraoperative decision
making, supporting loan officers and applicants in credit lending
decision processes, and helping public policy makers in designing
incentives and allocating funds. The success of these case studies
will foster the adoption of TANGO as the framework of reference
for developing a new generation of synergistic AI systems, and
will strengthen the leadership of Europe in human-centric AI.
Partnership – Among the 21 partner organisations there are
universities, research centres, institutions, foundations and
companies from 9 European countries. 7 are from Italy (the
University of Trento, which is also the coordinator of the network,
and the University of Pisa, the National Research Council, Scuola
Normale Superiore, Fondazione Bruno Kessler, U-Hopper srl,
Intesa Sanpaolo), 4 from Serbia (the AI Research and
Development Institute, SHARE Foundation, the A11 – Initiative for
Economic and Social Rights, the Ministry of Family Welfare and
Demography), 2 from the United Kingdom (Swansea University,
the University of Warwick), 2 from Belgium (the Center for
European Policy Studies, EIT Digital), 2 for Germany (University
Hospital Heidelberg, TU Darmstadt) and one each from France
(Université Paris Cité), Ireland (Carr Communications), Sweden
(Surgical Science Sweden AB) and Spain (Basque Center for
PI in charge:
Salary and conditions:
The gross annual salary of the Fellowship will be
38.000€ – 41.600€ according to experience.
It will then be on your own responsibility to make
your yearly income declaration at the Bizkaia
Additionally, we offer a moving allowance up to
Should the researcher have a family at the time of
- 2.000€ gross in a single payment
will be offered (you must be
married-official register or with
children and the certificate to
prove it must be sent).
- 1.200€ gross per year/per child
(up to 2 children) will be offered
(the certificate to prove it must be sent)
Contract and offer: 1 + 1 years
Deadline: 20/10/2023 14:00 CET
How to apply:
Applications must be submitted on-line at:
- Promising young researchers.
- Applicants must have their PhD completed before the
- PhD degree preferable in Machine Learning, Computer Science,
Statistics, Mathematics or related fields.
Skills and track-record:
- Good interpersonal skills.
- A proven track record in quality research, as evidenced by
research publications in topscientific journals and conferences.
- Demonstrated ability to work independently and as part of a
- Ability to present and publish research outcomes in spoken
(talks) and written(papers) form.
- Ability to effectively communicate and present research ideas
to researchers andstakeholders with different backgrounds
- Fluency in spoken and written English
The preferred candidate will have:
- Strong background in mathematics/ probability/statistics.
- Background in statistical modelling and inference.
- Knowledge in semiparametric and nonparametric regression
techniques, mixed-effects models, longitudinal and survival
- Solid programming skills in R.
- Knowledge in epidemiology is desired.
- Interest and disposition to work in interdisciplinary groups.
The selected candidate must have applied before the
application deadline online at the webpage
The candidates that do not fulfil the mandatory
requirements will not be evaluated with respect to their
scientific profile. Additional documents could be
requested during the evaluation process so as to check
– Letter of interest
– 2 recommendation letters
– Statement of past and proposed future research (2-3 pages)
Based on the provided application documents of each
candidate, the evaluation committee will evaluate
qualitatively: the adaption of the previous training and
career to the profile offered, the recommendation letters,
the main results achieved (papers, proceedings, etc.), the
statement of past and proposed future research and other
merits; taking in account the alignment of these items to
the topic offered.
Incorporation: As soon as possible