Jobs Posted on the Whova Community Board of The 31st International Conference on Computational Linguistics
If you know anyone in the job market, feel free to share with them
PhD and Postdoc Positions
KFUPM We are hiring people for two projects: 1- AI-driven Code Generation and Analysis 2- NLP-based Requirements Engineering Quality Assurance
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PhD, Postdoc and Professorship positions
National University Of Singapore As above :) you can also reply to my community topic to help me determine a time to meet up.
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Toloka Research Fellowship Program
Toloka The Fellowship Research Program at Toloka invites students and researchers to advance data-centric and human-centric AI research. Over a 3 to 6-month period, participants will wor... k on a project under expert mentorship. This paid program offers hands-on industry experience, opportunities for professional growth and chances to contribute to publications.
Link:https://toloka.ai/research-fellowshipSee More >>
Multiple Openings
MBZUAI Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the world’s first graduate Al university, is a research-focused institution with 199 M.Sc. and 87 Ph.D. students ... from 39 nationalities (30% female) and 81 renowned faculty members. Ranked 8th in NLP and 10th in Al+NLP+CV+ML (csrankings.org), MBZUAl’s NLP department comprises 19 faculty and 80 graduate students.
We are now hiring Full, Associate, and Assistant Professors, along with graduate student opportunities for M.Sc. or Ph.D. programs.
Please visit the MBZUAI booth during the week to speak to our recruitment team if you are interested in joining us!
Computer Science Professor, Tenured / Tenure Track - Open Rank
New York University Abu Dhabi New York University Abu Dhabi (NYUAD) invites applications for tenured/tenure-track faculty positions in Artificial Intelligence and Machine Learning (AI/ML). Specializations incl... ude: natural language processing, Deep Learning, Computer Vision, Reinforcement Learning, Ethical AI, Interdisciplinary AI/ML applications.
WHY JOIN NYU ABU DHABI? * World-Class Research: Interdisciplinary projects in AI, big data, cybersecurity, and software engineering. * Global Collaboration: Partner with NYU New York’s Courant Institute and Tandon School of Engineering. * State-of-the-Art Facilities: Access research centers like the Center for AI and Robotics (CAIR), the Center for Cyber Security, the Center for Interacting Urban Networks (CITIES), and the Center for Quantum and Topological Systems. * Inclusive Community: Faculty and students from over 120 countries.
BENEFITS * Generous startup packages and renewable research funding; * Access to high-performance computing facilities; * Comprehensive relocation and dependent support; * Focus on dual-career families;
Toloka Toloka AI is a global tech company that offers end-to-end data labeling solutions based on the effective combination of public crowd, domain experts and ML. Toloka has one of the ... most advanced annotation platforms in the market together with huge experience gathered by the whole team. Our solutions are powered by the most diverse global crowd from 100+ countries speaking 40+ languages and extensive experience in the practical application of SOTA models.
RESPONSIBILITIES
Establish partnerships with other research labs (universities and AI companies);
Develop research ideas, design data collection pipelines, and conduct experiments;
Publish scientific papers and present at top-tier conferences.
aiXplain We seek Machine Learning Engineers to focus on Large Language Model (LLM) fine-tuning and AI agent development. In this role, you will design, train, and optimize advanced LLM-bas... ed solutions to deliver context-aware user experiences. Responsibilities include building and maintaining data pipelines, researching state-of-the-art AI agent architectures, and integrating models into production. You will collaborate with cross-functional teams to run experiments, analyze model outputs, and continually enhance system performance.
Key Responsibilities:
• Fine-tune and deploy large-scale language models (e.g., GPT, LLaMA). • Research and develop AI agent architectures for conversational systems. • Prepare, clean, and process training data for LLM fine-tuning. • Integrate AI solutions into existing platforms, ensuring efficiency and stability. • Evaluate and optimize models to improve accuracy and reduce latency. • Stay updated with emerging NLP and deep learning trends.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science or related field; PhD is a plus. • Proven experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP techniques. • Proficiency in Python and modern machine learning libraries. • Hands-on experience with LLM fine-tuning and advanced NLP methods. • Solid understanding of data structures, algorithms, and distributed computing. • Strong problem-solving skills and team-oriented mindset. • Effective communication and documentation abilities.
Link:https://aixplain.com/carrersSee More >>
NLP Engineer (part-time)
Aralects *Company Description* ----------------------- Aralects is developing a gamified, self-paced app focused on teaching Arabic dialects like Egyptian, Lebanese, and Emirati to e... nhance real-world conversational skills. Personalized learning pathways powered by AI aim to make language learning more engaging and accessible. The company is committed to creating a culturally immersive platform for mastering Arabic dialects, catering to a wide audience for professional growth or personal interest.
*Role Description* ------------------ This is a part-time (or full-time if possible) remote role for an NLP Engineer at Aralects, and will give the person the opportunity to be work alongside field experts, add interesting work experience to their CV, and be part of an amazing team that is committed to creating a killer product! We are seeking a highly motivated person with experience in both Arabic NLP, Deep Learning, and preferably experience fine-tuning or using LLMs in downstream applications.
*Possible Responsibilities* -------------------------- - Develop processing tools for Arabic dialects (morphological analyzers/generators, alignment, automatic annotation, etc.) - Conduct experiments related to fine-tuning LLMs for educational applications. - Conduct some research to determine best practices and be aware of the state-of-the-art. - Work with the software development team to integrate that code into the Aralects codebase.
*Qualifications* --------------- - 5+ years of experience of Python programming experience - 2+ years of experience of PyTorch experience (projects, etc.) - Preferably 1+ years of experience of Arabic NLP experience. - Has some research experience (familiarity with deep learning and/or Arabic NLP research). - Is currently working towards a Bachelor's or Master's degree in Computational Linguistics, Machine Learning or AI Engineering, Computer Science, or any related field.
Link:https://www.careers-page.com/aralects/job/L8VXY7RVSee More >>
Summer Intern – Machine Learning
aiXplain We are offering a summer internship opportunity for MSc and PhD students in Machine Learning, Data Science, or related fields to gain hands-on experience in Large Language Model (... LLM) fine-tuning and AI agent development. As an intern, you will assist with cutting-edge research, prototype new features, and work alongside our engineering and product teams to deliver robust AI solutions. You will have the chance to explore advanced NLP methods, experiment with various model architectures, and contribute to real-world applications that enhance user interactions and efficiency.
Key Responsibilities:
• Assist in fine-tuning and evaluating LLMs (e.g., GPT, LLaMA). • Support the development of AI agents with context-aware and conversational capabilities. • Prepare and process data for training, testing, and model improvement. • Collaborate with senior engineers to implement and integrate ML solutions into production pipelines. • Conduct experiments, analyze results, and document key findings. • Stay informed on emerging NLP, deep learning, and ML research trends.
Qualifications:
• Current MSc or PhD student in Computer Science, Data Science, or a related field. • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and modern NLP techniques. • Proficiency in Python and the ability to work with ML libraries. • Basic understanding of data structures, algorithms, and parallel computing concepts. • Strong analytical mindset and eagerness to learn in a fast-paced environment. • Effective communication skills to present ideas and findings clearly.
Join our team and gain valuable industry experience by contributing to leading-edge AI projects, collaborating with experienced professionals, and helping shape the future of NLP solutions in Riyadh.
Link:https://aixplain.com/careersSee More >>
5 year contract PhD Candidate / Research Associate
OTH Amberg-Weiden Do you speak German and would like to work on the AI-driven factory of the future with a focus on NLP? We offer a 50% E13 TV-L contract in Germany for the duration of *nearly 5 ye... ars*!
University of Oslo Understanding LLMs. Two broad topics, but you will define the exact research agenda yourself:
1) Evaluating large language models - model architectures, training regimes a... nd data selection 2) Separation of linguistic and factual knowledge in large language models
University of Oslo In the past years, (generative) large language models have become the core foundation models for a wide range of traditional NLP tasks, and they have also seen widespread adoption... by the general public. At the same time, little is known about the specific training setups of commercial models, and some design decisions (in terms of model architecture, training regimes, and data selection) are based on traditions rather than empirical or theoretical considerations. Moreover, most current LLMs rely heavily on English training and evaluation data, and their performance on non-English languages remains difficult to assess. Potential candidates are expected to formulate their research project within the broad area of LLM evaluation. Examples of research topics are given below. - Compare fine-tuning external pre-trained LLMs with training language-specific LLMs from scratch. - Compare encoder-decoder LLMs with decoder-only LLMs. - Evaluate generative LLMs on various text generation tasks, such as summarization, simplification, text normalization. - Assess the multilingual (e.g. machine translation) and cross-lingual capabilities (cross-lingual transfer) of LLMs. - Investigate how closely related low-resource languages are best accommodated in LLMs. - Implement benchmarking datasets for LLM evaluation.
Link:https://www.uio.no/dscience/english/dstrain/research-areas2025/informatics/understanding-large-language-models/index.htmlSee More >>
Assistant Professor
IIIT Hyderabad Faculty position at Language Technology Research Center at International Institute of Information Technology Hyderabad
... Link:ltrc.iiit.ac.inSee More >>
Data Scientist in NLP
Fraunhofer IAIS Key Responsibilities:
- Develop innovative solutions in natural language processing (NLP), including machine learning and neural networks. - Apply and further enhance la... rge language models to create advanced NLP tools. - Research and implement techniques for text generation, analysis, and understanding. - Collaborate on projects that integrate AI systems into practical applications. - Present research results at conferences and in scientific publications.
Requirements:
- A degree (Master's or PhD) in computer science, data science, mathematics, or a related field. - Strong programming skills, particularly in Python, and familiarity with machine learning libraries such as TensorFlow or PyTorch. - Knowledge of NLP methodologies, large language models, and text analytics. - Proficiency in working on interdisciplinary teams and good communication skills in English. German is a plus, but not required.
Benefits:
- Access to cutting-edge technology and research projects in AI. - Opportunities for professional development through training and collaboration with leading experts. - Flexible working conditions and a supportive work environment.
Internship on multimodal Large Language Models (LLMs)
Naver Labs Europe Large Language Models (LLMs) have emerged as crucial tools for advancing knowledge across various disciplines. With their ability to process vast amounts of text data, LLMs have b... ecome indispensable for a wide array of applications, including natural language processing, machine translation, sentiment analysis, and information retrieval.
Multimodality, in particular the incorporation of speech representations into LLMs, enables systems to comprehend and respond to spoken language with unparalleled accuracy and depth. Different methods for fusion have been explored recently, ranging from shallow fusion through discrete speech units modeling [1,2] to more complex approaches for integrating speech representations into the LLM decoding procedure [3,4,5,6].
Beyond conventional text-based interfaces, multimodal LLMs enriched with speech capabilities have the potential to transform various domains, from virtual assistants to accessibility aids and interactive storytelling platforms.
AI Joint Lab Télécom Paris Hi, we are launching a new AI Lab in Paris working closely between an university, researchers from Télécom Paris - IP Paris and industry in the Finance domain (BNP Paribas). We ha... ve several positions to be openned in 2025 including Post Doc and R&D Engineer. If you are interrested, email me for details. Thanks
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Internship: Advanced Constraint Processing in LLMs
Naver Labs Europe The ability to control the outputs of Large Language Models is a central topic in NLP and Machine Learning, with applications to safety, trustworthiness, reasoning, etc. Following... up on our line of work on the Distributional Policy Gradient method (see references below), the internship will seek to improve our ability to handle complex constraints, while preserving key formal guarantees about the controlled model. We’re looking for a Computer Science/Deep Learning PhD student or an outstanding Masters student, for a 5-6 month research internship starting early 2025. The internship will be hosted at NAVER LABS Europe, near Grenoble, France, where you will be integrated in the NLP team. For examples of papers first-authored by former interns around the general topic of controlled generation, please have a look at the references [1-6] provided below.
[1] Khalifa et al. A Distributional Approach to Controlled Text Generation. ICLR, 2021
[2] Eikema et al. An Approximate Sampler for Energy-Based Models with Divergence Diagnostics. TMLR, 2022
[3] Korbak et al. Controlling Conditional Language Models without Catastrophic Forgetting. ICML, 2022
[4] Korbak et al. On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with No Catastrophic Forgetting. NeurIPS, 2022
[5] Go et al. Aligning Language Models with Preferences through f-Divergence Minimization. ICML, 2023
[6] Kim et al. Guaranteed Generation from Large Language Models. arXiv, 2024
PhD candidates working on “Trustworthy Conversational AI for Mental Health” | Researchers | Interns
VU Amsterdam 【Hiring PhD candidates at VU Amsterdam】 We are looking for top PhD candidates who are passionate about research related to “Trustworthy Conversational AI for Mental Health” emb... edded with Social AI Group & VUSec Group, at Vrije Universiteit Amsterdam (VU Amsterdam). Besides, we welcome candidates with a foreign funding or scholarship scheme (e.g., CSC, UKRI, etc), or are self-funded professionals or students working on open topics related to AI, e.g., conversational AI, information retrieval, trustworthy AI, privacy-preserving machine learning, AI safety, and AI for social good.
【Your function】 Within the context of the proposed projects, You will get the opportunity to: be supervised by experts in the field; take charge of an exciting research project; participate in innovative training modules, including a series of hands-on workshops that provide technical, transferable, and presentation skills, international conferences, and outreach activities. 【Job Requirements】 - A master’s degree (mandatory) in computer science, artificial intelligence, or a related discipline. - Strong skills in scientific programming and code version control. Prior experience in research and scientific projects; publications in top-tier conferences (e.g., ACL, EMNLP, ICML, NeurIPS, WWW, AAAI, etc) are a plus. - Experience with, or enthusiasm to learn, natural language processing or information retrieval, particularly with large language models. - Familiarity with, or willingness to learn, machine learning theory, including topics like uncertainty estimation and game theory. - Excellent organizational, communication, and interpersonal skills to collaborate effectively with diverse academic and societal stakeholders. We value the unique experiences, skills, and perspectives that each individual brings. If you see yourself in this profile, we encourage you to apply, even if you do not meet every requirement. 【Contact】 Please send us your CV and motivation letter or chat with me @Coling.
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Postdoctoral Researcher (Cultural Alignment of LLM)
MBZUAI My lab, the Human-Centered NLP Lab at MBZUAI, is offering a 1-year Postdoc position focused on cultural alignment of large language models, particularly Arabic LLMs. We provide a ... highly competitive salary. If interested, please send your CV to my email.
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NLP Data Scientist
eschbach Great job opportunity at an industry partner our research group closely collaborates with. During the conference, please don't hesitate to reach out to Norman Meuschke to chat abo... ut the position.
Key Responsibilities - Collaborate with a highly motivated and agile team to develop innovative AI solutions in the process industry sector. - Lead the research, development, and domain adaptation of state-of-the-art language models. - Implement holistic product visions and process flows within lighthouse projects in close collaboration with other development teams (e.g., User Experience). - Contribute to the creation of white papers, news articles, and research papers.
Key Requirements - Proficiency in German and English - Degree in computer science (Master’s or PhD), data science, mathematics or similar field with a focus on artificial intelligence or data science. - Experience in NLP methods, LLMs, text analytics - Strong programming skills in Python - Knowledge of Python, MS SQL Server - Intrinsic motivation to stay updated and apply new AI and NLP advancements.
Benefits - Professional development opportunities through training and collaboration with leading NLP experts in academia and industry - Access to state-of-the art research and NLP technologies. - Flexible working conditions (remote within Germany)
Link:https://www.eschbach.comSee More >>
AI Engineer
RedBlock Security Inc. Redblock is an AI for Cybersecurity startup. We are looking for an AI Engineer to design, develop, and implement advanced software systems using cutting-edge developments in found... ational AI.
This role offers a unique opportunity for growth within the software development domain, with potential pathways leading to technical leadership, architectural design, or product leadership roles.
Qualifications
* Bachelor’s or higher degree in Computer Science, Engineering, Applied Mathematics, Physics, Statistics, or a related field. * Minimum of 3 years of relevant experience in Machine Learning, specifically focusing on computer vision. * Familiarity with applications utilizing Large Language Models (LLM) or Large Vision Models (VLM/LVM). * Experience training and deploying models at scale, using real and synthetic data. * Familiarity with Information Retrieval, Machine Reading Comprehension, and Knowledge Graphs. * Understanding of Reinforcement Learning concepts, including methods like Reinforcement Learning with Human Feedback (RLHF) or Reinforcement Learning from Agent-Initiated Feedback (RLAIF).
* Knowledge of backend services development; experience in Java is advantageous but not mandatory.
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure Great job opportunity at a partner our research group closely collaborates with. During the conference, please don't hesitate to reach out to Norman Meuschke to chat about the pos... ition.
In the Mathematics Department at our Berlin site, we primarily develop and operate zbMATH Open, a freely accessible, international information service with more than 4 million bibliographic records, reviews and abstracts, and thus networked information on mathematical topics, persons, publications, references research data and software. In addition, we run scientific projects with the goal of developing and providing infrastructure to support mathematical research.
Starting at the nearest possible date, we are looking for a PhD/Junior Researcher or PostDoc/Senior Researcher in Berlin. In the European Union funded consortium, ‘Linked User-driven Multidisciplinary Exploration Network' (LUMEN) leading research institutions unite to innovate a cross-domain research collaboration and AI supported discovery of relevant prior art. In this project, your focus will be to research innovate cross disciplinary approaches to accel the innovation speed in mathematics and related fields.
Tasks ---------- - Contribute to designing a FAIR semantic space - Research AI supported extraction of semantics from mathematical documents - Advance tools for future publication processes in mathematics - Advance linking between publications and code
The position is limited within the project duration until December 31, 2027, although our goal is a long-term cooperation. We closely collaborate with Prof. Dr. Bela Gipp, the research group at the University of Göttingen. We encourage applicants without a PhD to work on their PhD in collaboration with Prof. Gipp's group.
