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The research group Data Mining and Machine Learning at the University of Vienna,
in a continued collaboration with the Volkswagen Natural Language Processing
Expert Center in Munich, is looking for graduates or advanced MSc students in
Computer Science, Computational Linguistics, Statistics, or related fields, that
are interested in doing a PhD in Machine Learning and Natural Language Processing.
The PhD candidate would be expected to be located in Munich for the duration of
the doctoral project. Please contact Prof. Benjamin Roth, Univ. of Vienna,
(benjamin.roth@univie.ac.at, use subject "ml nlp phd", please include a short CV)
to learn more about this opportunity.

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Univ.-Prof. Dr. Benjamin Roth
Digitale Textwissenschaften
Universität Wien
Kolingasse 14
Raum 5.17
1090 Wien
email: benjamin.roth@univie.ac.at
✔️ @ApplyTime
A fully-funded Industrial PhD position is available at the Department of Information Engineering and Computer Science of the University of Trento (DISI) and the Advanced Laboratory on Embedded Systems SRL (ALES), both in Trento, Italy, to conduct cutting edge research and innovation activity on the following topic:


Validation and Verification of Machine Learning Models


The candidate will investigate the applicability of advanced hybrid probabilistic inference techniques to the problem of probabilistic formal verification of ML models. S/he will study how Weighted Model Integration strategies can be improved to deal with the task, particularly in terms of scalability and approximations with guarantees, and develop a prototypical probabilistic formal verification tool for a use case in industrial avionics.


To apply to the call it is mandatory to have achieved a master degree by the end of October 2022, and to possess demonstrated English skills (e.g., via a master degree in English or via certificates such as TOEFL).


The position starts on November 1st, 2022 (or shortly after upon request).


Required skills:


- M.Sc. degree in computer science, mathematics, physics or related fields

- Basic knowledge of machine learning and artificial intelligence

- Excellent English skills (read, written, and spoken)

- Strong self-motivation and independence


Preferred skills:


- Expertise in automated reasoning and formal verification


Scientific supervisors: Andrea Passerini, Marco Roveri, Roberto Sebastiani


Industrial supervisors: Orlando Ferrante, Luigi Di Guglielmo


Main place of work: DISI and ALES.


DISI: The Department of Information Engineering and Computer Science ranked first among computer science departments in Italy and 78th worldwide according to the latest U.S. News Best Global Universities ranking. DISI has a strong focus on AI research, with top researchers and labs in computer vision, machine learning, natural language processing, speech recognition, intelligent optimization, knowledge representation and automated reasoning.



ALES: The Advanced Laboratory on Embedded Systems (ALES) SRL is a company of Collins Aerospace (https://www.collinsaerospace.com/), specialized in model-based technologies and methodologies for the design and verification of distributed safety-critical embedded systems.


Period abroad: A 6 month research period at the University of Aalborg is planned, to conduct research activity on theoretical aspects of probabilistic formal verification of machine learning models and potential applications in the automotive industry, under the supervision of Prof. Manfred Jaeger and Prof. Kim Larsen.


Doctoral program in Industrial Innovation: The Doctorate Program in Industrial Innovation is an interdisciplinary program co-founded by the University of Trento and the Fondazione Bruno Kessler. Companies are the key players of the Program that propose specific research problems (e.g. research topics) to solve and participate in the design of individual educational paths. Further information can be found at the program website.


Funding: The position is co-funded by the Italian National Recovery and Resilience Plan (NRRP) and ALES SRL. Further information on the NRRP industrial doctoral positions can be found here.


Application deadline: August 23, 2022 – 04:00 PM (Italian time, GMT +2).


HOW TO APPLY: Please apply here.

[choose "Doctoral Programme in Industrial Innovation 38th cycle" and look for a project noscriptd "Validation and Verification of Machine Learning Models"]


Feel free to contact the scientific and/or industrial supervisors for further information.


Best Regards

Andrea Passerini


----------------------------------------------------------------------------------

Andrea Passerini


Department of Information Engineering and Computer Science

University of Trento

Via Sommarive 5

38123, Povo di Trento - Italy

http://www.disi.unitn.it/~passerini

Phone: +39 0461 28 5224

email: andrea.passerini@unitn.it
✔️ @ApplyTime
PhD position on Fair and Inclusive Self-Supervised Learning for Speech Technologies (Paris/Grenoble)
The ANR project E-SSL (Efficient Self-Supervised Learning for
Inclusive and Innovative Speech Technologies) will start on November
1st. Self-supervised learning (SSL) has recently emerged as one of the
most promising artificial intelligence (AI) methods as it becomes now
feasible to take advantage of the colossal amounts of existing
unlabeled data to significantly improve the results of
various systems.

Speech technologies are widely used in our daily life and are
expanding the scope of our action, with decision-making systems,
including in critical areas such as health or legal aspects. In these
societal applications, the question of the use of these tools raises
the issue of the possible discrimination of people according to
criteria for which society requires equal treatment, such as gender,
origin, religion or disability... Recently, the machine learning
community has been confronted with the need to work on the possible
biases of algorithms, and many works have shown that the search for
the best performance is not the only goal to pursue [1]. For instance,
recent evaluations of ASR systems have shown that performances can
vary according to the gender but these variations depend both on data
used for learning and on models [2]. Therefore such systems are
increasingly scrutinized for being biased while trustworthy speech
technologies definitely represents a crucial expectation.

Both the question of bias and the concept of fairness have now become
important aspects of AI, and we now have to find the right threshold
between accuracy and the measure of fairness. Unfortunately, these
notions of fairness and bias are challenging to define and
theirmeanings can greatly differ [3].

The goals of this PhD position are threefold:
- First make a survey on the many definitions of robustness, fairness
and bias with the aim of coming up with definitions and metrics fit
for speech SSL models
- Then gather speech datasets with high amount of well-described
metadata
- Setup an evaluation protocol for SSL models and analyzing the
results. The PhD position will be co-supervised by Alexandre Allauzen
(Dauphine Université PSL, Paris) and Solange Rossato and François
Portet (Université Grenoble Alpes). Joint meetings are planned on a
regular basis and the student is expected to spend time in both
places. Moreover, two other PhD positions are open in this
project. The students, along with the partners will closely
collaborate. For instance, specific SSL models along with evaluation
criteria will be developed by the other PhD students.


Skills
- Master 2 in Natural Language Processing, Speech Processing, computer
science or data science.
- Good mastering of Python programming and deep learning framework.
- Previous experience in Self-Supervised Learning, acoustic modeling
or ASR would be a plus
- Very good communication skills in English
- Good command of French would be a plus but is not mandatory

To apply, send a CV and a cover letter to A. Allauzen before September
the 12th


[1] Mengesha, Z., Heldreth, C., Lahav, M., Sublewski, J. & Tuennerman,
E. “I don’t Think These Devices are Very Culturally Sensitive.”—Impact
of Automated Speech Recognition Errors on African Americans. Frontiers
in Artificial Intelligence 4. issn:
2624-8212. https://www.frontiersin.org/article/10.3389/frai.2021.725911(2021).
[2] Garnerin, M., Rossato, S. & Besacier, L. Investigating the Impact
of Gender Representation in ASR Training Data: a Case Study on
Librispeech in Proceedings of the 3rd Workshop on Gender Bias in
Natural Language Processing (2021), 86–92.[3] Mehrabi, N., Morstatter,
F., Saxena, N., Lerman, K. & Galstyan, A. A Survey on Bias and
Fairness in Machine Learning. ACMComput. Surv. 54. issn:
0360-0300. https://doi.org/10.1145/3457607 (July 2021).


--
Alexandre Allauzen
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
PhD in International and Public Law, Ethics and Economics for Sustainable Development (LEES)

Università degli Studi di Milano



The PhD Programme in Law, Ethics & Economics for Sustainability (LEES) is an interdisciplinary Program of the University of Milan, characterised by a large network of international cooperation worldwide (see the list and the international scientific committee). The LEES aims at the creation of a global interdisciplinary research community that shares a commitment to the goals of sustainability.

Such a community will be devoted to promoting an interdisciplinary, integrated research approach to global concerns, able to foster a process of change in which the exploitation of resources, the direction of investments, the orientation of technological innovation, the model of economic development and organization, and the resulting institutional change, are all made consistent with the future, as well as the present needs of humankind, granting self-determination, equal treatment and social justice to each of its members, in harmony with the preservation of the ecosystem.



VACANCIES

3 Doctoral Research Positions in Law, Ethics and Economics for Sustainable Development (LEES)

The LEES program is seeking three outstanding and committed students to carry out a three-year multidisciplinary research project, based at more than one participating university (see the call for application and the course website).

We are launching LEES, a doctoral programme in International and Public Law, Ethics and Economics for Sustainable Development. With courses, seminars, and scientific research activities entirely in English, it addresses the complexities involved in sustainable development and uses an innovative multidisciplinary approach that combines the contributions of law, ethics, and economics.





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Staff - Doctoral Programme
International and Public Law, Ethics and Economics for Sustainable Development - LEES
Website - lees@unimi.it
University of Milan
Via Festa del Perdono n° 7 - 20122 Milano, Italy

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