MITSO

We are recruiting a postdoctoral researcher for a fixed term contract between 9/26 – 5/29 or as agreed for the OTSO project. This position is based in the Human Sciences – Computing Interaction Research Group at the Department of Digital Humanities and relates to a long-standing interdisciplinary collaboration that studies the Finnic oral poetry system based on a large set of transcribed poems. The post-doctoral researcher will work in tight collaboration with people from computer science, linguistics and folkloristics to develop and apply capabilities for the large-scale modelling and analysis of the Finnic oral poetry system, based on a large set of transcribed poems. Depending on the background of the selected candidate, this may include, for example, the development of LLM and other machine-learning methods for the identification and extraction of higher-level signals (e.g. motifs, story schemas, naming formulas) from this multilingual corpus, the statistical modelling and large-scale analysis of said phenomena, or the development of mixed-method research pipelines. Requirements for the position and assessment of qualifications According to the Regulations of the University of Helsinki, an appointee to the position of postdoctoral researcher shall hold a doctoral degree and have the ability to conduct independent scholarly work as well as the teaching skills necessary for the position. For this position, the appointee must hold a doctoral degree in computer science, data science, digital humanities, statistics, or a related field, and have a keen interest in tackling complex problems in interdisciplinary collaboration. Previous experiences of such, as well as of working with large volumes of data (also in high-performance and GPU-accelerated computing environments) are considered advantages. Strong teamwork skills and an excellent command of written and spoken English are also required. A knowledge of Finnic languages is considered an advantage for the corpus work, but not a necessity. When assessing applicants’ qualifications, attention will be paid to international academic activities, including high-quality peer-reviewed publications. The position is filled with a six-month trial period. What we offer The salary for the position will be based on level 5 of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The annual gross salary is €42,000 - €49,000. In Finnish universities, the teaching and research staff (app. 65% of total staff) have a special system regarding the free time equivalent to holiday. They belong to the 1,612 annual working hour system, in which the annual amount of paid holiday is app. 5-6 weeks on average per year. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff How to apply The application must be accompanied by the following documents in PDF format: A statement of motivation for applying for the position, or how you would contribute to the project and a description of your core skills (max. 750 words) A curriculum vitae A list of publications Names and contact information of two referees Other attachments, including letters of recommendation or certificates, are not required at this point. We expect that you will send us a self-written application that reflects your own voice and thoughts. Applications generated by artificial intelligence do not meet our expectations. Applications must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Current employees of the University of Helsinki must submit their applications through SAP Fiori’s Suffeli recruitment portal. Further information about the position can be obtained from Professor Eetu Mäkelä. Further information about the recruitment process can be obtained from recruitment(at)helsinki.fi. Please indicate the position title in all inquiries. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER!  #HelsinkiUniCareers

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. We are now looking for a Lecturer or Teaching Fellow in Construction Work Based Learning and Apprenticeships. This is a specialist teaching-focused post, primarily centred on leading and delivering our apprenticeship work-based curriculum across Levels 4, 5 and 6 for both Quantity Surveying (QS) and Construction Management (CM) pathways. You will be the Module Leader for our work-based modules, these modules run alongside apprentices’ academic modules and are explicitly designed to help apprentices apply learning in the workplace, evidence Knowledge, Skills and Behaviours (KSBs), and progress confidently towards gateway and End Point Assessment (EPA) / Apprenticeship Assessment (AA) readiness. The modules will support apprentices across the following standards delivered within our provision: Level 4: Construction Quantity Surveying Technician; Construction Site Supervisor Level 6: Chartered Surveyor (Quantity Surveying pathway); Construction Quantity Surveyor; Construction Site Manager Alongside your module leadership responsibilities, you will also hold a defined tripartite caseload as an Academic Liaison Tutor, supporting apprentices and employers through on-programme progress reviews (apprentice–employer–university) to monitor progress, agree actions, and ensure workplace activity aligns with module and programme requirements. Do you enjoy shaping a coherent work-based learner journey, can lead modules with confidence, and is energised by working with apprentices and employers to turn workplace practice into strong academic and professional evidence? If you believe you can help apprentices succeed in EPA/AA preparation while maintaining excellent employer relationships, we would love to hear from you. We welcome applicants with transferable experience in work-based learning, professional practice, and industry-facing education. Relevant experience may be drawn from any discipline or sector and is not restricted to the construction sector. Informal enquiries may be made to Thomas Dowd, EBE Apprentice Quantity Surveying Programme Leader and Apprenticeship lead/Co Ordinator, by email: t.o.dowd@ljmu.ac.uk In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Artificial Intelligence and Machine Learning. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor teaching-track faculty positions at its Mumbai campus. These positions focus on delivering high-quality undergraduate and graduate instruction in Artificial Intelligence, Machine Learning, and related areas of Computer Science. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentorship of junior faculty, helping to build strong AI and ML programs at Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Artificial Intelligence and Machine Learning Deliver courses in areas such as: Machine Learning Deep Learning Advanced Artificial Intelligence Natural Language Processing (NLP) Data Preparation and Data Analysis Contribute to curriculum development and course design for AI and ML programs Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs Qualifications Applicants must have: A Ph.D. in Computer Science or a closely related field by the start of the appointment Demonstrated excellence in university-level teaching Strong expertise in Artificial Intelligence and Machine Learning Strong communication and interpersonal skills Ability to teach advanced AI and machine learning courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate and graduate AI/ML courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in AI, machine learning, or data science Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com