PhD and Postdoc at LMU Munich
https://mainlp.github.io/jobs/
https://mainlp.github.io/jobs/
mainlp.github.io
Jobs | MaiNLP research lab
Munich AI & NLP lab
The Laboratoire de Linguistique Formelle (www.llf.cnrs.fr, LLF) is seeking to support applications in linguistics and language sciences to Research Associate positions at the French Centre National de la Recherche Scientifique (cnrs.fr).
CNRS Research Associate positions are full-time permanent positions intended for candidates in their early career. Applicants must hold a PhD by the application deadline. Knowledge of French is not required.
Although CNRS recruits researchers by way of a national competition, applicants are encouraged to select one or more research labs to which they would like to be assigned, and support is crucial for a successful application.
Located at Université Paris Cité (u-paris.fr), the LLF has about 80 members, including 36 permanent faculty members, working on every subfield of linguistics. In recent years, it has extended its focus from formal and theoretical linguistics to domains such as psycholinguistics, sociolinguistics, experimental linguistics, computational linguistics, dialogue, typology, and Sign language linguistics.
The LLF is interested in supporting a limited number of applicants, with an excellent research record and willing to develop a project that would fit the lab's areas of inquiry.
The official call for application will be published on January 10, 2024 with an application deadline of February 9, 2024 (https://www.cnrs.fr/en/competitive-entrance-examinations-researchers-womenmen). Prospective applicants that wish to be supported by the LLF are invited to contact the lab by January 12, sending a CV (including a publication list) and a short denoscription of their research profile to direction.llf@listes.u-paris.fr. Decisions on whether support is granted will be taken by January 16.
CNRS Research Associate positions are full-time permanent positions intended for candidates in their early career. Applicants must hold a PhD by the application deadline. Knowledge of French is not required.
Although CNRS recruits researchers by way of a national competition, applicants are encouraged to select one or more research labs to which they would like to be assigned, and support is crucial for a successful application.
Located at Université Paris Cité (u-paris.fr), the LLF has about 80 members, including 36 permanent faculty members, working on every subfield of linguistics. In recent years, it has extended its focus from formal and theoretical linguistics to domains such as psycholinguistics, sociolinguistics, experimental linguistics, computational linguistics, dialogue, typology, and Sign language linguistics.
The LLF is interested in supporting a limited number of applicants, with an excellent research record and willing to develop a project that would fit the lab's areas of inquiry.
The official call for application will be published on January 10, 2024 with an application deadline of February 9, 2024 (https://www.cnrs.fr/en/competitive-entrance-examinations-researchers-womenmen). Prospective applicants that wish to be supported by the LLF are invited to contact the lab by January 12, sending a CV (including a publication list) and a short denoscription of their research profile to direction.llf@listes.u-paris.fr. Decisions on whether support is granted will be taken by January 16.
Centre national de la recherche scientifique (CNRS)
Accueil CNRS (CNRS)
Acteur majeur de la recherche fondamentale et de l’innovation à l’échelle mondiale, le Centre national de la recherche scientifique (CNRS) est le seul organisme français actif dans tous les domaines scientifiques. Ensemble, les sciences se mettent au service…
Applications are invited for a fully funded PhD candidature in at Leiden Institute of Advanced Computer Science (LIACS), The Netherlands, on the use of Formal Methods to enhance the efficiency, transparency and the understanding of Transformer-based language models.
While large language models (LLMs) have proven successful in many areas of Natural Language Processing, they suffer from high data and resource usage, and display limited generalization capacity in tasks that humans excel at. In this PhD project you will have the opportunity to investigate how formal methods can help in developing more efficient and more transparent models for Natural Language Understanding. Specifically, you will investigate the use of implicit or explicit structural bias in Transformer-based language models to reduce training data and model parameters; additionally, you will look at novel techniques for evaluating models for their generalization capabilities on Natural Language Understanding tasks such as Natural Language Inference, possibly in a multilingual and multimodal setting.
The specific project content is to be decided between the applicants’ interest and the expertise of the supervisor, dr. Gijs Wijnholds.
Topics include (but are not limited to):
- Using logical methods to define task-relevant constraints on LLM finetuning;
- Incorporating structured representations in regularized training of smaller language models;
- Assessing the generalization capacity of Transformer-based models in the context of formal language theory, model probing, Natural Language Inference;
- Evaluation of Natural Language Understanding models in the presence of ambiguity and/or annotator disagreement;
- Understanding multilingual Natural Language Inference in Vision-Language Models;
For the official vacancy text, please see https://www.universiteitleiden.nl/en/vacancies/2023/qw4/23-81914335phd-candidate-formal-methods-in-natural-language-processing
The application deadline is January 13, 2024. The ideal starting date is in March 2024, but can be negotiated depending on circumstances.
For further information feel free to reach out to dr. Gijs Wijnholds (g.j.wijnholds@liacs.leidenuniv.nl).
While large language models (LLMs) have proven successful in many areas of Natural Language Processing, they suffer from high data and resource usage, and display limited generalization capacity in tasks that humans excel at. In this PhD project you will have the opportunity to investigate how formal methods can help in developing more efficient and more transparent models for Natural Language Understanding. Specifically, you will investigate the use of implicit or explicit structural bias in Transformer-based language models to reduce training data and model parameters; additionally, you will look at novel techniques for evaluating models for their generalization capabilities on Natural Language Understanding tasks such as Natural Language Inference, possibly in a multilingual and multimodal setting.
The specific project content is to be decided between the applicants’ interest and the expertise of the supervisor, dr. Gijs Wijnholds.
Topics include (but are not limited to):
- Using logical methods to define task-relevant constraints on LLM finetuning;
- Incorporating structured representations in regularized training of smaller language models;
- Assessing the generalization capacity of Transformer-based models in the context of formal language theory, model probing, Natural Language Inference;
- Evaluation of Natural Language Understanding models in the presence of ambiguity and/or annotator disagreement;
- Understanding multilingual Natural Language Inference in Vision-Language Models;
For the official vacancy text, please see https://www.universiteitleiden.nl/en/vacancies/2023/qw4/23-81914335phd-candidate-formal-methods-in-natural-language-processing
The application deadline is January 13, 2024. The ideal starting date is in March 2024, but can be negotiated depending on circumstances.
For further information feel free to reach out to dr. Gijs Wijnholds (g.j.wijnholds@liacs.leidenuniv.nl).
Vacancy - Data Scientist for Dynamic Scheduling (MJM Marine & Ulster University)
https://bit.ly/MJMMarineKTP2023
https://bit.ly/MJMMarineKTP2023
The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD position in Explainable Natural Language Understanding with a start date of 1 September 2024. The application deadline is 1 February 2024.
Applications for the position can be submitted via UCPH's job portal.
The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings.
The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups.
The project team will consist of the principle investigator, three PhD students and two postdocs, collaborators from CopeNLU as well as external collaborators. The role of the PhD student to be recruited in this call will be to research methods for generating faithful free-text explanations of NLU models in collaboration with the larger project team.
More information about the project can also be found here.
Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein@di.ku.dk.
Applications for the position can be submitted via UCPH's job portal.
The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings.
The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups.
The project team will consist of the principle investigator, three PhD students and two postdocs, collaborators from CopeNLU as well as external collaborators. The role of the PhD student to be recruited in this call will be to research methods for generating faithful free-text explanations of NLU models in collaboration with the larger project team.
More information about the project can also be found here.
Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein@di.ku.dk.
The very recent AI Policy Lab at Umeå University is seeking two postdoctoral candidates to work on transparency and on justice respectively. The Lab, which is led by Prof. Dr. Virginia Dignum has a strong international position, with focus on fundamental research, implementation and integration, and advocacy of AI policy. We operate at the intersection of computer science and social science and humanities, fostering a multidisciplinary and collaborative environment.
Excellent candidates are encouraged to apply to one of the following positions:
- Postdoc on AI transparency: The postdoctoral fellow will focus on developing models, theories, and tools for the specification, monitoring, and evaluation of the transparency of AI systems. This research will address the complexity of AI decision-making processes, develop interpretable formal models to assess the impact of transparency on accountability and user trust and adoption. The role involves addressing ethical and legal considerations and devising computational methods to measure and improve the transparency of AI systems across various domains. Application link: https://umu.varbi.com/en/what:job/jobID:691107/
- Postdoc on AI justice: The postdoctoral fellow will be tasked with exploring and developing theory and tools on key questions such as formal definitions of justice in AI in computationally tractable ways, detecting and mitigating biases in algorithms, and assessing AI's impact on marginalized communities. The role demands a formal understanding of algorithmic accountability, policy development for equitable AI, and the development of methods and tools to balance AI's efficiency with fairness principles. Ideal candidates should be passionate about shaping AI technologies to promote global equity and inclusion, backed by a strong foundation in computer science and ethical AI practices. Application link: https://umu.varbi.com/en/what:job/jobID:691080/
-
Our research is not only about the development of intelligent systems, but also in understanding the effects of their deployment on our societies. We are working to ensure the ethical application of Artificial Intelligence (AI), both through public engagement and frequent interaction with policymakers, and by facilitating the engineering of Responsible AI. Researchers collaborate with several national and international research groups and have active links with industry and policy organisations. We offer:
Full-time, 3-year, fully funded contract
A vibrant, collaborative and multidisciplinary research environment.
Access to a wide international network across faculties and disciplines.
Opportunities to engage with policymakers and influence AI policy development.
Support for innovative research and access to state-of-the-art facilities.
Is this interesting for you? Welcome with your application at latest February 29, 2024.
Project denoscription and working tasks.
For additional information, please contact Prof. Dr. Virginia Dignum virginia@cs.umu.se.
Excellent candidates are encouraged to apply to one of the following positions:
- Postdoc on AI transparency: The postdoctoral fellow will focus on developing models, theories, and tools for the specification, monitoring, and evaluation of the transparency of AI systems. This research will address the complexity of AI decision-making processes, develop interpretable formal models to assess the impact of transparency on accountability and user trust and adoption. The role involves addressing ethical and legal considerations and devising computational methods to measure and improve the transparency of AI systems across various domains. Application link: https://umu.varbi.com/en/what:job/jobID:691107/
- Postdoc on AI justice: The postdoctoral fellow will be tasked with exploring and developing theory and tools on key questions such as formal definitions of justice in AI in computationally tractable ways, detecting and mitigating biases in algorithms, and assessing AI's impact on marginalized communities. The role demands a formal understanding of algorithmic accountability, policy development for equitable AI, and the development of methods and tools to balance AI's efficiency with fairness principles. Ideal candidates should be passionate about shaping AI technologies to promote global equity and inclusion, backed by a strong foundation in computer science and ethical AI practices. Application link: https://umu.varbi.com/en/what:job/jobID:691080/
-
Our research is not only about the development of intelligent systems, but also in understanding the effects of their deployment on our societies. We are working to ensure the ethical application of Artificial Intelligence (AI), both through public engagement and frequent interaction with policymakers, and by facilitating the engineering of Responsible AI. Researchers collaborate with several national and international research groups and have active links with industry and policy organisations. We offer:
Full-time, 3-year, fully funded contract
A vibrant, collaborative and multidisciplinary research environment.
Access to a wide international network across faculties and disciplines.
Opportunities to engage with policymakers and influence AI policy development.
Support for innovative research and access to state-of-the-art facilities.
Is this interesting for you? Welcome with your application at latest February 29, 2024.
Project denoscription and working tasks.
For additional information, please contact Prof. Dr. Virginia Dignum virginia@cs.umu.se.
Varbi
Postdoctoral position (3 years) on Responsible Artificial Intelligence with focus on transparency
The research group Responsible Artificial Intelligence (RAI) at the Department of Computing Science at Umeå University is seeking outstanding candidates for a post-doctoral position in Computer Scien
Job offer: Researcher for Multimodal Fake-News and Disinformation Detection at DFKI Berlin
The German Research Center for Artificial Intelligence (DFKI) has operated as a non-profit, Public-Private-Partnership (PPP) since 1988. DFKI combines scientific excellence and commercially-oriented value creation with social awareness and is recognized as a major "Center of Excellence" by the international scientific community. In the field of artificial intelligence, DFKI as Germany’s biggest public and independent organisation dedicated to AI research and development, has focused on the goal of human-centric AI for more than 30 years. Research is committed to essential, future-oriented areas of application and socially relevant topics.
We are looking for a highly motivated research assistant to join our existing team and work on a project focused on fake-news and disinformation detection from speech and multimedia data. Content authenticity verification of speech combined with other modalities like text, visuals or meta-data will be a center part. In any case, xAI and bias analysis are aspects of high relevance to the position as well.
The successful candidate will work closely with high-impact partners in this field, e.g. Technical University of Berlin, RBB (Berlin TV and news broadcaster), Deutsche Welle (Germany's broadcaster abroad), and 5 other partners.
Responsibilities will include developing and testing different AI/NLP models and techniques, analyzing the performance of machine learning models in the context of applicable fake-news and disinformation fighting for journalists, and communicating project progress and results to relevant stakeholders. The position offers opportunities for pursuing a doctorate and publishing research results in scientific journals and conferences.
Qualified candidates will have a completed university degree in (technical) computer science or computational linguistics, excellent programming skills in Python, and a strong background in machine learning/AI and signal processing or NLP. Previous experience in the field of fake-news or spoofing / authenticity detection of multimedia data is an advantage.
DFKI offers an agile and lively international and interdisciplinary environment for working in a self-determined manner. If you are interested in contributing to cutting-edge research and working with a dynamic team, please apply!
More details and link: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-547585.html
Application deadline: Jan 23, 2024.
The German Research Center for Artificial Intelligence (DFKI) has operated as a non-profit, Public-Private-Partnership (PPP) since 1988. DFKI combines scientific excellence and commercially-oriented value creation with social awareness and is recognized as a major "Center of Excellence" by the international scientific community. In the field of artificial intelligence, DFKI as Germany’s biggest public and independent organisation dedicated to AI research and development, has focused on the goal of human-centric AI for more than 30 years. Research is committed to essential, future-oriented areas of application and socially relevant topics.
We are looking for a highly motivated research assistant to join our existing team and work on a project focused on fake-news and disinformation detection from speech and multimedia data. Content authenticity verification of speech combined with other modalities like text, visuals or meta-data will be a center part. In any case, xAI and bias analysis are aspects of high relevance to the position as well.
The successful candidate will work closely with high-impact partners in this field, e.g. Technical University of Berlin, RBB (Berlin TV and news broadcaster), Deutsche Welle (Germany's broadcaster abroad), and 5 other partners.
Responsibilities will include developing and testing different AI/NLP models and techniques, analyzing the performance of machine learning models in the context of applicable fake-news and disinformation fighting for journalists, and communicating project progress and results to relevant stakeholders. The position offers opportunities for pursuing a doctorate and publishing research results in scientific journals and conferences.
Qualified candidates will have a completed university degree in (technical) computer science or computational linguistics, excellent programming skills in Python, and a strong background in machine learning/AI and signal processing or NLP. Previous experience in the field of fake-news or spoofing / authenticity detection of multimedia data is an advantage.
DFKI offers an agile and lively international and interdisciplinary environment for working in a self-determined manner. If you are interested in contributing to cutting-edge research and working with a dynamic team, please apply!
More details and link: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-547585.html
Application deadline: Jan 23, 2024.
jobs.dfki.de
This job is unavailable | DFKI
project overview.pdf
194.6 KB
آزمایشگاه علوم داده
فراخوان جذب دستیار پژوهشی
آیا علاقهمند به یادگیری و تحقیق در زمینه علوم داده و یادگیری ماشین هستید؟ آزمایشگاه علوم داده فرصتی عالی برای دانشجویان کارشناسی فراهم کرده تا در پروژههای تحقیقاتی پیشرفته شرکت کنند و مهارتهای علمی و عملی خود را گسترش دهند.
شرایط مورد نیاز:
انگیزه بالا و علاقه به یادگیری
آشنایی با python
تعهد به کار گروهی و همکاری در پروژههای تیمی
اگر به این فرصت علاقهمند هستید، برای دریافت اطلاعات بیشتر و ارسال رزومه با ما تماس بگیرید.
آدرس ایمیل:
• akbari.ma@aut.ac.ir
• amir.h.j@aut.ac.ir
محل آزمایشگاه: اتاق ۳۰۷ دانشکده ریاضی و علوم کامپیوتر
فراخوان جذب دستیار پژوهشی
آیا علاقهمند به یادگیری و تحقیق در زمینه علوم داده و یادگیری ماشین هستید؟ آزمایشگاه علوم داده فرصتی عالی برای دانشجویان کارشناسی فراهم کرده تا در پروژههای تحقیقاتی پیشرفته شرکت کنند و مهارتهای علمی و عملی خود را گسترش دهند.
شرایط مورد نیاز:
انگیزه بالا و علاقه به یادگیری
آشنایی با python
تعهد به کار گروهی و همکاری در پروژههای تیمی
اگر به این فرصت علاقهمند هستید، برای دریافت اطلاعات بیشتر و ارسال رزومه با ما تماس بگیرید.
آدرس ایمیل:
• akbari.ma@aut.ac.ir
• amir.h.j@aut.ac.ir
محل آزمایشگاه: اتاق ۳۰۷ دانشکده ریاضی و علوم کامپیوتر
Dear Colleagues,
I am looking for PhD students in e-Health and Sign Language Translation at the School of Electronics, Electrical Engineering and Computer Science, Queen's University in Belfast, UK. The details of the projects are below:
Breaking Barriers: AI-Powered Sign Language Translation for Enhanced Healthcare Access for the Deaf . The Project is co-supervised by Prof. Asif Ekbal, Professor, IIT Jodhpur, India, and Dr. Anna Jurek-Loughrey, Senior Lecturer, EEECS, Queen’s University.
Empowering Mothers: AI-Enhanced Personalized Management of Gestational Diabetes . The project is co-supervised by Prof. Pietro Liò, Professor, Department of Computer Science and Technology, University of Cambridge, UK.
Both projects offer an exciting opportunity for students to spend time at the prestigious University of Cambridge in the UK and IIT Jodhpur in India.
Requirements: The successful candidate is expected to have a solid background in NLP, Machine Learning, Statistics, computer science, or related disciplines. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider or an equivalent qualification acceptable to the University. Refer to the official application process for details: Application process.
Application Process: For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasanuzzaman@qub.ac.uk with your CV and trannoscript, as well as a brief denoscription of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails.
Submit your formal application through the following link: Application portal.
Your application should be clearly marked as EEECS/2025/MH1 and/or EEECS/2025/MH2 to ensure consideration for funding.
About Queen's: The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). For more details: Queen’s University rankings.
International students are welcome to apply, but additional funding (Scholarships) or personal finances will be required to cover the difference between home (UK) and overseas fees.
Best regards,
Mohammed
I am looking for PhD students in e-Health and Sign Language Translation at the School of Electronics, Electrical Engineering and Computer Science, Queen's University in Belfast, UK. The details of the projects are below:
Breaking Barriers: AI-Powered Sign Language Translation for Enhanced Healthcare Access for the Deaf . The Project is co-supervised by Prof. Asif Ekbal, Professor, IIT Jodhpur, India, and Dr. Anna Jurek-Loughrey, Senior Lecturer, EEECS, Queen’s University.
Empowering Mothers: AI-Enhanced Personalized Management of Gestational Diabetes . The project is co-supervised by Prof. Pietro Liò, Professor, Department of Computer Science and Technology, University of Cambridge, UK.
Both projects offer an exciting opportunity for students to spend time at the prestigious University of Cambridge in the UK and IIT Jodhpur in India.
Requirements: The successful candidate is expected to have a solid background in NLP, Machine Learning, Statistics, computer science, or related disciplines. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider or an equivalent qualification acceptable to the University. Refer to the official application process for details: Application process.
Application Process: For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasanuzzaman@qub.ac.uk with your CV and trannoscript, as well as a brief denoscription of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails.
Submit your formal application through the following link: Application portal.
Your application should be clearly marked as EEECS/2025/MH1 and/or EEECS/2025/MH2 to ensure consideration for funding.
About Queen's: The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). For more details: Queen’s University rankings.
International students are welcome to apply, but additional funding (Scholarships) or personal finances will be required to cover the difference between home (UK) and overseas fees.
Best regards,
Mohammed
Forwarded from Mohammad A
Hello everyone, I am looking for a TA for database course, if anyone interested please contact me.
Forwarded from Mohammad A
«همچنین من یک دستیار تحقیقاتی در زمینه حکمرانی هوش مصنوعی میپذیرم
"به نام خدا"
بادرود فرا رسیدن سال نو همیشه نوید بخش افکار نو، کردار نو و تصمیم های نو برای آینده است. در سال نو، سلامتی، شادی، پیروزی، مهر و دوستی را برای شما آرزومندم.
امیدوارم رحمت بی دریغ پروردگار همواره بر لحظه های زندگیتان جاری باشد.
عید نوروز باستانی مبارک
با احترام
اکبری
بادرود فرا رسیدن سال نو همیشه نوید بخش افکار نو، کردار نو و تصمیم های نو برای آینده است. در سال نو، سلامتی، شادی، پیروزی، مهر و دوستی را برای شما آرزومندم.
امیدوارم رحمت بی دریغ پروردگار همواره بر لحظه های زندگیتان جاری باشد.
عید نوروز باستانی مبارک
با احترام
اکبری