PhD/MSc Scholarships | Europe | UK | Australia

ranjan_ayya

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  • Jan 9, 2020
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    good thread.
    msc netuwa direct phd karanna puluwanda? (without a class) bee nh
    එහෙම බැහැ කියලම කියන්න බැහැ මචන්, උඹට publications මොකුත් තියෙනවද? උඹ degree එක කරපු lecturers ලත් එක්ක connection තියෙනවද?

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    PhD position at the University of Massachusetts Lowell, USA

    We are inviting prospective Ph.D. students to apply for 2 open Ph.D. positions at the University of Massachusetts Lowell (UML) to work on a 3-year project to study how trust networks emerge in resource-constrained teams comprising of multiple humans and agents.Positions are available immediately and we expect students to enroll for the Fall 2021 semester.The research team is looking for prospective Ph.D. students to join an existing multi-disciplinary team. All researchers will need to collaborate with team members outside their immediate 'discipline', so some degree of comfort with diving into and learning new fields of study will be expected of applicants.Specifically, we are looking for students interested in pursuing their Ph.D. in the following two areas:(a) Network science/Collective behavior: This position entailed tasks such as Building agent-based models of collective behavior and trust network evolution; Analyzing the emergence of networks in teams comprising humans and agents (robots); Using neurophysiological signals of trust from team members; Evaluating correlations between behaviors of human and/or agent teammates to understand the collective behavior of large groups(b) Reinforcement Learning: This position entailed tasks such as Implementing reinforcement learning algorithms in a multi-agent team; Designing RL algorithms to perform a search-and-rescue operation in building layouts of varying complexity; Creating novel multi-agent RL algorithms that operate with known constraints (such as constraints on time, information, communication, etc.)To apply, please send the following documents as a single PDF, to both: [email protected] and [email protected]:
    • A detailed Curriculum Vitae (please include: your nationality for visa requirements, date of birth, your English level, scientific publications if any, programming skills, and hobbies)
    • An unofficial copy of academic records/transcript and most recent diploma
    • A copy of your relevant publications (if any)
    • List of at least 2 referees (support-letter writers). Support letters will be requested only if your application is considered. So you don't need to upload them now.
    • Your homepage and link to videos and code if available.

    Among the basic skill set, prospective Ph.D. students should possess a passion for robotics, modeling, mathematics, programming, and abstract thinking; Excellent written and spoken English skills; Strong background in Linear Algebra, Calculus, Probability and Statistics, and Algorithms; Strong programming skills in Python, C++, MATLAB, or other programming languages.Additionally, while not required, familiarity with one or more of the following topics will be viewed as a plus: dynamic modeling of collective behavior, Bayesian modeling, EEG instrumentation, game generation in Unreal or Unity, experience writing software or modifying hardware for robotic platforms.
     

    me2cool

    Well-known member
  • Mar 21, 2012
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    good thread.
    msc netuwa direct phd karanna puluwanda? (without a class) bee nh
    Aus, UK, USA puluwan if you have good grades.
    Europe wala baha
    In Countries like Germany, Switzerland, Austria, You have to have a MS to start a PhD.
     

    ranjan_ayya

    Well-known member
  • Jan 9, 2020
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    PhD positions in Machine Learning at CITEC, Bielefeld University, Germany

    We have an opening for two fully funded PhD positions (4 years each) within a newly established collaborative research center on explainable machine learning at the Machine Learning Group (CITEC, Bielefeld University, Germany). CITEC and its machine learning group offer a vibrant environment in particular as regards research on Cognitive Interaction Technologies, Sustainability in Machine Learning, and Trustworthy Deep Learning. Candidates will work on the specific topics:

    Explanations of limitations and reject options of (deep) machine learning (Healthy Distrust)
    (see https://uni-bielefeld.hr4you.org/jo...he-sfb-trr-318-subproject-c01-bh?page_lang=en)

    Explanations when learning in non-stationary environments (Explaining Drift)
    (see https://uni-bielefeld.hr4you.org/jo...he-sfb-trr-318-subproject-c03-bh?page_lang=en)

    Applications should be send to [email protected]
    Applications stay open until the positions are filled.

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    PhD positions at ADAPT Centre, Trinity College, Dublin, Ireland

    ADAPT the world-leading SFI research centre for AI Driven Digital Content Technology is accepting applications for a number of fully funded PhD positions across ADAPT and its leading Irish university partners.

    Visit https://www.adaptcentre.ie/careers/ for more information!

    ADAPT is hosted by Trinity College Dublin and our partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway.

    Our Research Vision

    ADAPT's research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long term goal of a balanced digital society by 2030.

    ADAPT is hosted by Trinity College Dublin. ADAPT’s partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway.

    Our Research areas include

    Human Robot Interaction & AI

    Conversational AI & Data Driven Digital Agents

    Natural Language Processing

    Activity Recognition

    Information Retrieval

    Speech HCI, User Experience, Conversational User

    Interfaces

    Immersive Multisensory Experiences/ AI / QoE

    Personalisation (specific autonomic actions based on

    personal preferences)

    Data Value Analytics & Value-Driven Governance

    VR, Audio, Animation, Interactions

    Healthcare Data Quality

    Health Identities

    Term Extraction for Under-resourced Languages

    Open-Domain Dialogue Systems

    Data Governance

    As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer:

    1. Opportunity to build your profile at international conferences and global events

    2. A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists

    3. A Fully funded, 4 year PhD postgraduate studentship which includes a stipend of (€18,500 per annum - non taxed), along with equipment, annual travel funding

    4. Funding for annual student fees
     

    ranjan_ayya

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  • Jan 9, 2020
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    **** 5 PhD fellowships in Machine Learning and Information Retrieval ****
    **** Department of Computer Science, University of Copenhagen ****



    The Machine Learning Section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval, commencing 1 January 2022 or as soon as possible thereafter.

    - Deadline to apply: August 15, 2021
    - Link to apply: https://employment.ku.dk/phd/?show=154480


    * Our group and research, and what do we offer:
    --------------------------

    The fellows will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation.


    * The fellows will conduct research, having as starting point the following broad research areas:
    --------------------------

    - a fully-funded PhD in machine learning evaluation;
    - a fully-funded PhD in bias and interpretability for machine learning;
    - a fully-funded PhD in overparameterization and generalizability in deep neural architectures;
    - a fully-funded PhD in applied machine learning and/or information retrieval with focus on human-centered computing aspects;
    - a fully-funded PhD in web & information retrieval.


    * Who are we looking for?
    --------------------------

    We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval. For one of the PhDs, the candidate is expected to also have strong grades in Human-Centered Computing. The candidate should have a preliminary research record as witnessed by a master thesis or publications in the area.

    For more information, please have a look at: https://employment.ku.dk/phd/?show=154480
     

    ranjan_ayya

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  • Jan 9, 2020
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    PhD student positions available at Chalmers and KTH

    We are looking for two PhD students in NLP for a joint project between the Data Science and AI division at Chalmers Institute of Technology, Gothenburg, and the Division of Speech, Music and Hearing at KTH Royal Institute of Technology, Stockholm.

    More information about the project can be found here: https://www.kth.se/profile/skantze/...representation-learning-for-conversational-ai

    Chalmers position: https://www.chalmers.se/en/about-ch...cies/Pages/default.aspx?rmpage=job&rmjob=9710

    KTH position: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:414458/where:4/

    The application deadline for both positions is September 1.
     

    boyrocky

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  • Aug 27, 2007
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    PhD student positions available at Chalmers and KTH

    We are looking for two PhD students in NLP for a joint project between the Data Science and AI division at Chalmers Institute of Technology, Gothenburg, and the Division of Speech, Music and Hearing at KTH Royal Institute of Technology, Stockholm.

    More information about the project can be found here: https://www.kth.se/profile/skantze/...representation-learning-for-conversational-ai

    Chalmers position: https://www.chalmers.se/en/about-ch...cies/Pages/default.aspx?rmpage=job&rmjob=9710

    KTH position: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:414458/where:4/

    The application deadline for both positions is September 1.
    Health paththata nadda bro? Biomedical, Genetics wage ewa
     

    ranjan_ayya

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  • Jan 9, 2020
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    PhD Studentship in Human-Centric Uses of Technology in Translation/Interpreting - University of Surrey, UK

    The Centre for Translation Studies (CTS) at University of Surrey, UK is delighted to offer a new PhD studentship for a 3-year project starting in January 2022. The studentship is available for candidates interested in Human-Centric Uses of Technology in Translation/Interpreting.



    At the Centre for Translation Studies (https://www.surrey.ac.uk/centre-translation-studies), we are dedicated to cutting-edge research, scholarship and teaching in translation, interpreting and other forms of inter- and intra-lingual communication. As human practices of translation and interpreting are increasingly supported, enhanced and sometimes replaced by technologies, our vision is to promote a human-centric approach to technology use in translation and interpreting. Our research therefore focuses on integrating our knowledge about how human translators and interpreters approach their task and how they interact with and through technologies with research into the automation of these practices. We are seeking to recruit an intellectually strong PhD candidate who is interested in pursuing a research project in the area of human-machine integration and interaction in any modality of translation, audiovisual translation or interpreting.



    The successful project will need to rely on a solid, eclectic mixed-methods approach benefiting from cross-fertilization among different disciplines (e.g. translation studies, multimodality, human-computer interaction, machine learning/artificial intelligence, natural language processing, corpus linguistics) to explore topics such as the usability of/social responsibility in automated translation solutions, productivity, workflow optimisation, quality, the development of tools, resources and training for enhanced communication across languages and types of languages, data ownership and user experience. Projects will be evaluated on the basis of originality (topicality and urgency of the research questions) and methodological innovation. The successful candidate will benefit from excellent technological working conditions, international contacts, and a stimulating interdisciplinary work environment.



    More information can be found on this University of Surrey webpage:

    https://www.surrey.ac.uk/fees-and-funding/studentships/phd-human-centric-uses-technology-translationinterpreting



    Start date: 1 January 2022

    Duration: 3 years

    Application deadline: 22 September 2021

    Funding information: A stipend of £15,609 for 21/22, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home-rate fee allowance of £4,500 (with automatic increase to UKRI rate each year) and £500 for conference travel.
     

    ShadowSeeker

    Well-known member
  • Apr 4, 2014
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    PhD Studentship in Human-Centric Uses of Technology in Translation/Interpreting - University of Surrey, UK

    The Centre for Translation Studies (CTS) at University of Surrey, UK is delighted to offer a new PhD studentship for a 3-year project starting in January 2022. The studentship is available for candidates interested in Human-Centric Uses of Technology in Translation/Interpreting.



    At the Centre for Translation Studies (https://www.surrey.ac.uk/centre-translation-studies), we are dedicated to cutting-edge research, scholarship and teaching in translation, interpreting and other forms of inter- and intra-lingual communication. As human practices of translation and interpreting are increasingly supported, enhanced and sometimes replaced by technologies, our vision is to promote a human-centric approach to technology use in translation and interpreting. Our research therefore focuses on integrating our knowledge about how human translators and interpreters approach their task and how they interact with and through technologies with research into the automation of these practices. We are seeking to recruit an intellectually strong PhD candidate who is interested in pursuing a research project in the area of human-machine integration and interaction in any modality of translation, audiovisual translation or interpreting.



    The successful project will need to rely on a solid, eclectic mixed-methods approach benefiting from cross-fertilization among different disciplines (e.g. translation studies, multimodality, human-computer interaction, machine learning/artificial intelligence, natural language processing, corpus linguistics) to explore topics such as the usability of/social responsibility in automated translation solutions, productivity, workflow optimisation, quality, the development of tools, resources and training for enhanced communication across languages and types of languages, data ownership and user experience. Projects will be evaluated on the basis of originality (topicality and urgency of the research questions) and methodological innovation. The successful candidate will benefit from excellent technological working conditions, international contacts, and a stimulating interdisciplinary work environment.



    More information can be found on this University of Surrey webpage:

    https://www.surrey.ac.uk/fees-and-funding/studentships/phd-human-centric-uses-technology-translationinterpreting



    Start date: 1 January 2022

    Duration: 3 years

    Application deadline: 22 September 2021

    Funding information: A stipend of £15,609 for 21/22, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home-rate fee allowance of £4,500 (with automatic increase to UKRI rate each year) and £500 for conference travel.
    Machan is there any MSc schols?
     

    ranjan_ayya

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  • Jan 9, 2020
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    Machan is there any MSc schols?
    funded MSc චුට්ටක් අඩුයි මචන්, Erasmus ඒවා බැලුවද? - https://ec.europa.eu/programmes/era.../erasmus-mundus-joint-masters-scholarships_en

    (y) Languages side එකේ PhD එකක් සෙට් උනොත් කියපන් wife හොයනවා බං...🙏
    එල මම කියන්නම්

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    Fully funded PhD position in Natural Language Processing at Språkbanken, Gothenburg, Sweden

    The Language Technology research group (Språkbanken <https://spraakbanken.gu.se/eng>) in the Department of Swedish at the University of Gothenburg, Sweden, invites applications for one (or more) fully funded four-year PhD position(s) in Natural language processing.

    Språkbanken has conducted research in NLP and neighboring fields for over 40 years. At present, our work focuses on language technology methodologies for the Swedish language, and the development of linguistic resources and tools for a wide range of genres representing all historical stages of Swedish, in a number of internally and externally funded research projects. A recent but increasingly important area of interest is the application of language technology as a research tool in the humanities and social sciences (digital humanities). In particular, Språkbanken is the national coordinator for the Swedish node of the European CLARIN ERIC and one of the three divisions of a new national research infrastructure.

    The deadline for applications is 1st October 2021. The starting date for the position(s) is 1st February, 2022 (or as soon as possible after this date as per agreement).

    Announcement:
    https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=21649
     

    ranjan_ayya

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  • Jan 9, 2020
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    PhD position in basic machine learning at the Center for Basic Machine Learning Research in Life Science

    We have an open PhD position in basic machine learning at the Center for Basic Machine Learning Research in Life Science (mlls.dk) in Copenhagen. Emphasis is on representation learning for protein sequences.

    https://www.compute.dtu.dk/om_os/ledige_stillinger/job?id=35b0a858-1b8d-4bac-9799-5018eec1546f

    == Who are you? ==
    Curiosity, motivation, and an easy going personality. Those are key characteristics that we look for in a candidate. The projects we work on take inspiration from many diverse communities, so you will most likely only be familiar with some aspects of the projects before you start. Consequently, there is no "right" educational background, though we expect experience in a machine learning related field. Remember, if you're a great candidate, then we will adapt the project to fit you.

    == Who are we? ==
    The Center for Basic Machine Learning Research in Life Science (mlls.dk) is headed by Ole Winter, Anders Krogh, Aasa Feragen, Wouter Boomsma, Jes Frellsen and Søren Hauberg. We conduct the basic machine learning research needed to estimate representations of biomedical data that are robust, interpretable, data efficient, reflective of inherent data uncertainty, and able to leverage existing knowledge.

    == Where? ==
    You'll be working in the intersection of the University of Copenhagen and the Technical University of Denmark. Both salary and working conditions are excellent. The center is a down-to-earth and fun place to be. Most group members live in Copenhagen which is often named as the best city in the world to live, and for good reasons. Copenhagen is really nice! It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap.

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    PhD/Postdoc position in Social Media Analytics, using AI at the University of Tartu, Estonia

    Computational social science group (https://css.cs.ut.ee/) at the University of Tartu, Estonia has a PhD/Postdoc position on the topics of hate speech, echo chambers, and polarization. Specifically, the research will be done using AI, Natural Language Processing, and Social Network Analysis techniques.

    We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all):

    (i) Preferred programming languages: Python or R.
    (ii) Exploratory data analysis: feature extraction, visualization, etc.
    (ii) Machine learning and deep learning with some hands-on experience.
    (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well.
    (v) Social network analysis and Natural Language Processing

    Program Benefits
    ================
    The funding is for 4 years for PhD, and 2 years for Postdoc.
    Health insurance is provided
    Academic and industrial professional development including travel support.
    Interaction with world-renowned external board members and speakers.
    Travel grant for attending conferences and workshops.

    Location: Institute of Computer Science, University of Tartu, Estonia.
    Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region.

    University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English.

    Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city.

    The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis.

    The applicant should have:
    - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc
    - Excellent programming skills.
    - A good command of spoken and written English,
    - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage.

    All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to [email protected] with the subject "(PhD or Postdoc - whatever applies) application in OSM Platforms".
     
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    ranjan_ayya

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  • Jan 9, 2020
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    PhD Positions in Multilingual Neural Machine Translation​


    Faculty/Services: Faculty of Science
    Educational level: Master
    Function type: PhD position
    Closing date: 13 February 2022
    Vacancy number: 7898


    The Language Technology Lab at the Informatics Institute of the University of Amsterdam invites applications for three fully-funded, four-year PhD positions in the area of natural language processing (NLP) in general, and neural machine translation in particular. The three open PhD positions (in addition to two open post-doc positions) are part of an advanced career fellowship project funded by the Netherlands Science Foundation (NWO, Vici scheme) awarded to Prof. Monz.

    Modern Neural Machine Translation (NMT) frameworks have resulted in nothing short of a revolution, yielding amazing advances in translation quality for many languages, e.g., English to German. NMT models learn complex translation mappings from bilingual data, consisting of human translations between sentences from a pair of languages. Recent research on multilingual NMT (ML-NMT) has shown that training one model simultaneously on many language pairs can lead to knowledge transfer between different languages. Current ML-NMT approaches show indeed impressive results for low-resource translation into English and zero-shot translation between related languages. However, translating into low-resource languages and zero-shot translation between distant languages remains of low quality, clearly indicating that we are still far away from accomplishing universal translation between all languages.

    In this project, you will work in a team of six researchers and devise and investigate novel machine translation models that are more robust under limited training data conditions and models that allow for better knowledge transfer from high-quality translation directions to low-quality ones. Your research will be carried out in the context of our existing neural machine translation architecture implemented in PyTorch.

    The research in this project will address a number of overarching questions including (but not limited to)…
    • How can we better train models for language pairs where only a very limited amount of training data is available?
    • What should novel models or training procedures look like that allow us to explicitly stimulate knowledge transfer between language pairs?
    • How can we achieve good quality translations for language pairs without any parallel training data (zero-shot problem)?
    • How can we improve the robustness of neural machine translation?

    What are you going to do?

    With our help and support, you will:
    • innovate techniques and models for low resource machine translation and transfer learning between languages;
    • experimentally verify research hypothesis and contribute to our machine translation infrastructure;
    • design and perform controlled experiments to gain modelling insights and answer fundamental research questions;
    • contribute to (and benefit from) our existing neural machine translation infrastructure;
    • advance the state of the art in machine translation
    • complete and defend your PhD thesis;
    • become an active member of the research community and collaborate within and outside the Language Technology Lab;
    • publish and present work regularly at international conferences, workshops, and journals;
    • assist in teaching activities (labs/tutorials) and in supervising Bachelor and Master students.

    What do we require of you?

    • A Master's degree (completed or near completion) in a relevant discipline, such as computer science, artificial intelligence, computational linguistics or similar.
    • Serious interest in pursuing fundamental research with concrete applications.
    • A highly motivated, passionate, and creative attitude.
    • A strong background in natural language processing, machine learning, and deep learning.
    • Excellent programming skills preferably in Python.
    • Strong communication, presentation, and writing skills and excellent command of English.
    • A commitment to maintaining an inclusive, collaborative, diverse, and supportive work environment.

    If you are interested but unsure if you are qualified, please contact Prof. Christof Monz before applying. If your Master’s degree is near completion, it must be completed before the start date. Knowledge of the Dutch language is not required for this position, nor for being able to live in Amsterdam. However, the UvA provides the opportunity to attend Dutch language classes if desired.
     

    ranjan_ayya

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    PhD position at the University of Marburg, Germany

    The Department of Mathematics and Informatics, research group Dr. Charles Welch, is currently accepting applications for a Research Assistant (Doctoral Researcher)

    The position is offered for a period of 3 years. The starting date is as soon as possible. The position is full time with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 100%).

    Responsibilities include scientific research and outreach. Your work will broadly cover customizable language generation and models of perception. This may include techniques for modeling style and explicit stylistic attributes, differences in language use across demographic groups, models of perception for subjective classification tasks (e.g. sarcasm, toxicity, morality, humor), and how solutions to these problems can be leveraged for creating more sustainable and higher performing models in natural language processing research.

    The successful applicant will have a university degree in Computer Science (Diploma, Master or equivalent), a specialization in Natural Language Processing is preferred. Prior experience with online discussion analysis, neural network architectures, and natural language processing is expected, and experience with computational sociolinguistic research and strong programming skills are desirable. Candidates should be enthusiastic, self-motivated, reliable, creative, and able to pursue research projects both independently and in collaborations. Excellent communication skills in written and spoken English are required, including article writing in international scientific journals. Willingness to pursue your own scientific qualification in the field of natural language processing is expected. We offer collaboration with a diverse team, including members of Dr. Welch's group as well as members of the newly formed group of Prof. Lucie Flek, in a stimulating international scientific environment at one of the oldest universities in Germany, with the highest proportion of international students in the state of Hesse.

    Philipps-Universität Marburg supports young scientists in their career development, e.g. through positions offered by the Marburg Research Academy (MARA), the International Office and places for higher education pedagogy and personnel development.

    We promote opportunities for women, expressly requesting applications from women. In areas where women are underrepresented, we will favor female applicants if their application carries equal merit compared to the applications of their male peers. Our university furthermore aims to be family-friendly, which means we welcome applicants with children. Filling this position on a part-time basis (see § 9 (2) sentence 1 of the Hessian Equal Rights Act –(HGIG)) or reduced working hours are possible in principle. Applicants with disabilities within the context of the German Social Security Code IX (SGB) (§ 2 (2), (3)) will be favored if their application carries equal merit compared to applications from candidates without disabilities. Application and processing costs will not be refunded.

    For further information, please contact Charles Welch (https://cfwelch.com/) or email him at [email protected]

    PhD scholarships at the University of Bozen-Bolzano

    The Free University of Bozen-Bolzano (https://www.unibz.it/) has opened a public competition for 21 fully funded PhD scholarships in Computer Science (deadline July 1, 2022). They cover a range of epistemologies, theories, methods and applications of computer science. Topics include studies of theoretical AI, data science and machine learning application, up to the design of the most advanced user interfaces and critical user research.

    In particular, the two following topics (in collaboration with Fondazione Bruno Kessler) can be of interest for the mailing list.

    Emotions in Multilingual Texts (Carlo Strapparava)
    The affective dimension of word meaning often forms part of our reservoir of common-sense knowledge, and it is reflected in the way we use words. This project aims at producing and evaluating new technologies for recognition of emotional language and possibly other subtle pragmatic aspects of communication. Because there are diverse subtilties in emotional expressions in different languages, the project will devote particular attention in approaching the problem from a multilingual point of view.

    Neural Models of Collaborative Behaviours in Conversational Agents (Bernardo Magnini)
    Human-human dialogues are characterized by collaborative behaviours, through which interlocutors achieve their communicative goals. As an example, proactivity (i.e., anticipating user needs during dialogue) and grounding (e.g., posing clarification questions) are two relevant cases that have been investigated from a linguistics perspective. However, such collaborative behaviours are still largely absent in current neural dialogue models. There are several open research challenges in this direction, including investigating how dialogue systems can learn when and how to be collaborative, depending on the dialogue context, and how do we evaluate whether collaborative behaviours have improved the efficacy of dialogue. This PhD project addresses collaborative behaviours in conversational agents from a computational perspective, exploiting the integration of machine learning approaches based on neural models, reinforcement learning, and knowledge-based techniques.

    Key information to apply and gain admission to the PhD Programme can be found here:
    https://www.unibz.it/en/faculties/computer-science/phd-computer-science/

    The scholarship includes
    University Fees
    3-year personal grant (approx. € 17,000 NET per year)
    50% pay increase to support international mobility for a period variable between 6 months and one year according to the type of projects
    Personal budget for research and travel expenses (Euro 2,500)
    State-of-the-art technical equipment

    Further financial possibilities are available in the form of teaching contracts and research consultancies during the years of study, for top students.
    ------ Post added on Jun 24, 2022 at 10:10 PM
     
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