Postdoc italy

Post Doctoral Position: Phonetic analysis of dysarthric speech by speakers of different varieties of Italian

The Laboratory of Speech Technology Language and Machine Learning (STMLab) at the Kore University of Enna has a vacancy for a Researcher Fellowship in the recently funded Phonetic analysis of dysarthria speech by speakers of different varieties of Italian project. 

The position includes a stay at NTNU in Trondheim.

The project focuses on idiopathic Parkinson’s disease dysarthric speech, produced by speakers of two varieties of Italian that show different segmental (consonantal, vocalic) and prosodic characteristics. It aims to:

  1. Identify phonetic features that impact on speech intelligibility and accuracy, separating variability due to dysarthria from features due to sociolinguistic variation;
  2. Develop perspectives and tools for clinical practice that take variation into account.

We aim to achieve those goals by:

  1. Collecting the first acoustic and articulatory corpus on dysarthric speech produced by speakers of two varieties of Italian;
  2. Analyzing the phonetic features of two severity levels of dysarthric speech, taking into account b1) both segmental and prosodic characteristics, b2) articulatory information, as well as acoustics, b3) the phonological features of the linguistic systems of the speakers;
  3. Realizing a tool based on both acoustic and articulatory data, aimed to orient and customize rehabilitation;
  4. Implementing a dual purpose software (based on acoustic and articulatory data) for the objective assessment of speech accuracy/intelligibility, with regard to both dysarthria severity and the early diagnosis of dysarthria.

As a researcher, you will combine deep knowledge of speech technology and machine learning for heath-related tasks. The research will be documented in scientific publications in appropriate journals and relevant conference proceedings, and in Open Source software tools.

Work environment

The qualified candidate will be hosted at the Speech Technology and Machine Learning Laboratory (STMLab), Kore University of Enna, Sicily, Italy. However, the project is a joint collaboration between the University of Salento (Prof. Barbara GILI FIVELA) and University of Bari (Prof. Maria Luisa FIORELLA). The primary work will be conducted at the Kore University of Enna under the supervision of Prof. Siniscalchi, but the candidate will have the opportunity to spend up to five months at NTNU working with Prof. Giampiero Salvi and Prof. Torbjørn Svendsen

What we expect from you

  • A PhD in Computer Engineering, Computer Science, Machine Learning, or Signal Processing;
  • Experience in speech technology, image processing and/or machine learning;
  • Experience with PyTorch,  Keras, and/or Tensorflow ;
  • Fluency in spoken and written English;
  • Experience with Python and Bash Scripting;

What we offer

  • Employment: Temporary Researcher / Assegnista di Ricerca
  • Researcher for an initial period of 12 months, after which the performance will be evaluated. If the evaluation is positive, the contract will be extended to one more year.

Would you like to know more? For further information, please contact Prof. Sabato Marco Siniscalchi by email:

Associate Professor in Information Systems: data-driven digital transformation

Associate Professor in Information Systems: data-driven digital transformation

The Dept. of Computer science (IDI), NTNU has available a full-time, permanent Associate Professor position in Information Systems within the ISSE group (

We seek candidates with a strong research track record within the international field of Information Systems. We are specifically seeking candidates with deep, empirically based knowledge of the conditions (business, technical and organizational) for digital transformation in the private or public sector.

The notions of ‘digital transformation’ and ‘digitalization’ are broad. We seek candidates that focus on data-driven digital transformation.

We seek candidates with a promising publication record in relevant Information Systems outlets. Strong candidates will have experience with conducting relevant research projects and generating research funding as well as experience with teaching and supervision.

Learn more about the position here. Deadline: January 31, 2021.

PhD Positions

PhD Positions

signify phd

PhD fellow in the Field of Bias and Fairness in Artificial Intelligence

We have a vacancy for a position as PhD fellow at the Department of Computer Science (IDI), Norwegian University of Science and Technology in Trondheim.  

The candidate will work in the research front in artificial intelligence with a project related to the ethical consequences of automated decision making. The particular focus will be on the bias in the AI systems and its impact on fairness and discrimination at the individual and the society level. A model learned with biased data may generate unfair decisions while mitigating the bias may decrease the traditional measures of system accuracy. 

Learn more about the position and desired competences here. 

Deadline: January 20, 2021. 

3 PhD candidates in Artificial Intelligence

3 PhD candidates in Artificial Intelligence

We are looking for 3 PhD fellows to work at NTNU’s Trondheim campus. 

They will perform research on next-generation artificial intelligence (AI) methods, taking advantage of recent advances in machine learning (ML), stochastic optimization, and probabilistic graphical models.

The research results are expected to be applicable in several domains, such as geoscience, natural language, Internet of things (IoT), telecommunications, etc. 

Learn more about the positions and apply here. 

Deadline: March 1, 2021.


PhD candidates in AI and Big Data analytics


PhD candidates in AI and Big Data analytics at the SFI Centre NorwAI

We have vacancies for three PhD Candidates at the Department of Computer Science. The three positions are in:

  • PhD1:  Machine learning, with focus on fair, accountable, transparent, and privacy-preserving personalization methods.
  • PhD2: PhD Candidate in machine-learning models for streaming data analysis and prediction.
  • PhD3: Large-scale processing of dynamic graphs.

The positions are funded by SFI NorwAI, the new 8-year research-based innovation Center for AI Innovation.

The main objective of a PhD position is to develop skills to solve complex problems related to the research topic. Being part of a project like SFI NorwAI, gives you a unique arena for collaboration and networking, also across disciplines and with industry. The Norwegian industry needs personnel with PhD competence to stay competitive and develop new jobs for the future. A PhD degree also opens new attractive career opportunities at universities and research institutes.

Learn more about the positions here. Deadline: January 16, 2021.