UNIVERSITY OF DERNA

UNIC Athens is inviting applications from individuals interested in faculty appointments at its School of Humanities and Social Sciences for the following fields: Counseling Psychology School Psychology Educational Psychology Forensic Psychology Qualifications: Holder of PhD in relevant field. Experience: Minimum of 3 years of independent teaching and or research experience. Application Procedure: Interested candidates should submit the following documents through: A cover letter stating their area(s) of expertise A full Curriculum Vitae (CV) with a complete list of publications A one-page research statement describing previous and current research, as well as future plans A one-page description of teaching experience Two professional reference letters Candidates should be eligible to work in the European Union/European Economic Area. Application Deadline: 31 May 2026 Expected Start Date: September 2026

About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Business Development Manager will drive industry engagement and partnership development to attract companies to participate in robotics test-bedding and applied research collaborations. Key Responsibilities Industry engagement and partnership development Identify and engage robotics companies, technology providers, startups, and research partners to participate in the SmartPrecinct@PDD programme. Work closely with technical teams to identify industry use cases aligned with the SmartPrecinct infrastructure and capabilities. Support the development of joint projects between SIT and industry partners; prepare collaboration contracts/agreements and support the onboarding process for companies joining the SmartPrecinct ecosystem. Support reporting and documentation of industry partnerships and collaboration outcomes. Marketing and outreach Develop branding and marketing initiatives to promote SmartPrecinct and create industry outreach opportunities. Organise industry engagement activities such as workshops, industry forums, and networking events. Requirements Minimum Bachelor’s degree in engineering, robotics, AI, cybersecurity, business, or other related fields. Ideally 5+ years of relevant experience in business development, innovation partnerships, or technology ecosystem development. Strong networking and relationship-building capabilities. Experience working with government programmes or public-sector innovation initiatives is advantageous. Excellent communication, negotiation, and stakeholder management skills. *Note: The incumbent will be appointed as Research Engineer/Research Fellow if successful.

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores.  Job Responsibilities Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met. Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings). Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora. Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures. Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels. Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques. Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis. Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines. Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings. Job Requirements Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn. Prior experience or coursework in natural language processing, machine learning, or information retrieval. Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices. Experience with financial data or financial text analysis will be advantageous. Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous. Good communication skills and ability to work both independently and collaboratively.