University of California, Davis

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.

Ref.: 536281 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (Ref.: 536281), to commence as soon as possible for a period one to two years, with the possibility of renewal subject to satisfactory performance and funding availability. Duties and Responsibilities Lead and manage research projects on haematolymphoid neoplasms and related diseases, including experiments involving clinical samples, cell lines and in-vivo models, as well as statistical analyses Discover and characterize novel biomarkers and drug targets in lymphoid neoplasms Assist in supervising research postgraduate students Participate in collaborative projects on haematolymphoid diseases with partner medical/research institutions Prepare research papers, grant applications and other administrative tasks related to research projects Undertake other duties as assigned Enquiries about the duties of the post should be sent to Dr. Rex Au-Yeung at rex.auyeung@hku.hk. Requirements: Ph.D. degree in biomedical sciences or related discipline, preferably with experience in cancer biology, cell culture, flow cytometry and in-vivo models Good command of written and spoken English & Chinese Excellent communication and collaboration skills, with proven ability to work effectively both independently and as part of a multidisciplinary team Self-driven, meticulous and highly motivated A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Perform materials characterisation and microstructural analysis, including but not limited to: X-ray Fluorescence (XRF) X-ray Diffraction (XRD) Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX) Thermogravimetric Analysis (TGA) Isothermal calorimetry Fourier transform infrared spectroscopy (FTIR) Evaluation of strength development and hydration behaviour Durability performance and long-term behaviour. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Any adhoc duties assigned. Job Requirements Master’s degree in Materials Science (Cement and Concrete), Civil Engineering, or a related discipline. Demonstrated knowledge and competence in cementitious materials and concrete characterisation, especially for Limestone Calcined Clay Cement (LC³) and Carbonated Steel Slag Cement. Familiarity with cement chemistry and hydration mechanisms will be an advantage. Key Competencies Ability to build and maintain strong working relationships with internal and external stakeholders. A self-directed learner with a strong commitment to continuous learning and professional development. Strong technical writing and presentation skills. Excellent analytical and critical thinking abilities. High level of initiative, responsibility, and ownership of work. Ability to work effectively both independently and within multidisciplinary research teams.