Alamein International University

We are recruiting a PhD student interested in combining logical reasoning and machine learning. The research will focus on inductive logic programming, which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers. As a PhD student, you will develop new algorithms, run experiments, write papers, and present at conferences. You will meet regularly with Andrew Cropper and the rest of the logic and learning group. Find out more about working with us here. A start date before September 2026 is ideal but is flexible. The application deadline is June 15, 2026 (at 23:59 UTC +3). Requirements A master's degree in computer science or a related topic Prior experience in logic is desirable Excellent English skills We offer The opportunity to do fundamental research 4-year full-time contract A starting salary of ca. 2700 euros/month. The salary will develop in accordance with the progress of studies and be 3600-3800 euros/month by the end of the contract. Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance According to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. Application instructions Applications shall be submitted through the University of Helsinki´s recruitment system and include the following documents: CV  Transcripts from previous degrees A motivation letter (max 2 pages) Contact information of two referees to provide reference letters upon request  External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position and the logic and learning (LOL) group, please contact Associate Professor Andrew Cropper (andrew.cropper@helsinki.fi). With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate. 

Cluster: Engineering Job Purpose We are seeking a Research Fellow at the Singapore Institute of Technology (SIT) to undertake high-quality applied research for a funded project at the Singapore Institute of Technology aimed at advancing understanding of lift-generated noise in residential buildings. The role supports the achievement of the grantor’s objectives and proposed research outcomes through rigorous investigation, close collaboration with the PI and research team, and the development of industry-relevant insights for the built environment sector. We are looking for a passionate and detail-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI, and research team members to ensure that all technical milestones and project deliverables are achieved. Undertake the following responsibilities in the project: i. Plan and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling mechanisms. iii. Develop and implement measurement protocols, experimental setups, and data acquisition procedures for airborne and structure-borne noise studies. iv. Analyse measurement data using specialised acoustic and vibration analysis software, and develop predictive or simulation models to interpret noise propagation and structural vibration behaviour. v. Prepare technical reports, research publications, and presentations to disseminate findings to academic, industry, and funding stakeholders. vi. Assist in the development of mitigation strategies or engineering guidelines to reduce lift-related noise transmission in residential environments. Coordinate site access, field measurements, and technical discussions with project collaborators, industry partners, and building stakeholders. Coordinate procurement of equipment, liaison with vendors/suppliers, and ensure proper calibration, operation, and maintenance of measurement instrumentation. Carry out laboratory and project risk assessments, and ensure compliance with Work, Safety and Health (WSH) regulations during field measurements and experimental work. Co-supervise undergraduate student projects related to acoustics and vibration measurements when required. Work independently, as well as within a multidisciplinary research team, to ensure timely completion of project tasks and research outputs. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements PhD in Acoustics, Mechanical Engineering, Aerospace Engineering, Civil Engineering, or a closely related field. Have relevant competence in acoustics, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise, or machinery vibration will be advantageous. Prior research experience with peer-reviewed publications in acoustics, noise control, or vibration engineering will be advantageous. Key Competencies Possess strong analytical and critical thinking skills in solving engineering and research problems. Proficient in technical writing and presentation for reports, publications, and stakeholder communication. Able to work independently while also contributing effectively within a multidisciplinary research team. Demonstrate strong initiative and take ownership of assigned research tasks and project deliverables. Able to organise and manage field measurements, instrumentation setup, and experimental data collection. Good problem-solving ability in addressing technical issues encountered during experiments or measurements. Able to build and maintain effective working relationships with project collaborators, industry partners, and research staff. Self-directed learner who is committed to continuous learning and professional development. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Postdoctoral Fellow - Philosophy of Contemporary & Future Science Department of Philosophy (Post Ref.: 25/46) The Department of Philosophy at Lingnan University is one of the best in Asia. Faculty members publish in leading journals in the field, such as Analysis, Australasian Journal of Philosophy, British Journal for the Philosophy of Science, Ethics, Journal of Philosophical Logic, Mind, Noûs, Philosophers’ Imprint, Philosophical Quarterly, Philosophical Studies, Philosophy and Phenomenological Research, and Philosophy of Science. The department has a thriving PhD programme and also hosts several Postdoctoral Fellows/Research Assistant Professors. More information on the research interests and publications of philosophers at Lingnan University can be found at: https://www.LN.edu.hk/philoso/?page_id=9. Requirements Areas of Specialization: Philosophy of Science; Formal Epistemology; AI; or Philosophy of Biology, Chemistry, or Physics These posts arise in connection with a Senior Research Fellowship on ‘Philosophy of Contemporary and Future Science’ awarded to Professor Darrell Rowbottom, which runs from 2022–2027. Professor Rowbottom is now seeking Two Postdoctoral Fellows to join the project team over the course of one to two years. Details on the project, which involves scientists working with philosophers, can be found at www.pocfs.org. We are especially interested in candidates whose work connects with the natural sciences, and especially with recent developments therein (such as increased interdisciplinarity and the involvement of AI). However, we are open to considering other applicants with excellent research records and a clear, well-articulated vision of how they can contribute to the project. The appointee will work as part of the team headed by Professor Rowbottom. This will involve: (1) carrying out collaborative research (including with scientists); (2) authorship and co-authorship of papers suitable for publication in leading journals; (3) authorship and submission of derivative grant proposals to funding bodies; (4) organizing seminars, reading groups, workshops and other related research activities; (5) teaching courses at undergraduate or postgraduate levels; (6) performing occasional outreach activities (such as lectures aimed at the general public); and (7) managing/updating the project website. The teaching load will be one or two courses per year, distributed according to the departmental needs. English will be the language of instruction. Appointment The minimum annual salary for the posts will be 432,000 HKD (which corresponds to 44,000 GBP and 55,000 USD at current exchange rates). A gratuity of approximately 130,000 HKD will be paid after two years of service. Please note that tax in Hong Kong is exceptionally low; for instance, income tax on the annual salary might be as low as 30,000 HKD. See https://www.ird.gov.hk/eng/ese/st_comp_2022_23/stcfrm.htm for a tax calculator. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance (where appropriate). The appointment start date is flexible. Contract duration is expected to be from one to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. Informal inquiries concerning the posts can be directed to Professor Rowbottom, at darrellrowbottom@ln.edu.hk. We are an equal opportunities employer. The review of applications will start and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.