Czech Technical University in Prague

Associate Professor / Professor – Mathematics & Data Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, is a private, Ph.D.-granting research university with world-renowned programs in architecture, engineering, computing, the 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.” Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The College of Computing at 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 Mathematics and Data Science. Position Summary Illinois Institute of Technology seeks experienced and accomplished educators for Associate Professor and Professor teaching-track positions in Mathematics and Data Science at its Mumbai campus.These positions are intended for candidates with significant teaching experience and expertise in mathematical and statistical foundations relevant to data science, artificial intelligence, and computing disciplines. Faculty members will contribute to delivering high-quality instruction, mentoring students, and helping shape the academic direction of Illinois Tech’s programs in Mumbai. Courses will be delivered in person in Mumbai, India, and online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses related to Mathematics, Statistics, and Data Science Deliver foundational and advanced courses such as: Calculus Discrete Mathematics Probability and Statistics Regression Analysis Time Series Analysis Bayesian Statistics Mathematical Foundations of Machine Learning Contribute to curriculum development and course design for data science and computing programs Mentor and advise undergraduate and graduate students Participate in departmental leadership, academic service, and program development Support interdisciplinary collaboration within the College of Computing Qualifications Applicants must have: A Ph.D. in Mathematics, Statistics, Data Science, or a closely related field Significant teaching experience at the university level Demonstrated expertise in mathematics and statistical methods relevant to data science Evidence of academic leadership, curriculum development, or program building (particularly for Professor-level candidates) Strong communication and student mentoring skills Preferred qualifications include: Experience teaching statistics and mathematics courses for data science, AI, or computing programs Experience with machine learning or computational statistics Prior experience teaching graduate-level courses 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 reference If you are unable to upload the documents , please share your application pack at careers@daskalos.com

Job Description FACULTY OF SCIENCE DEPARTMENT OF CHEMISTRY With offers of BSc (Hons) in Biochemical and Testing Sciences, MSc in Analytical Chemistry, MPhil (by research), and PhD degrees, the Department presently has around 140 undergraduate students, 70 taught postgraduate students and 100 research students and project staff. The Department places a strong emphasis on both quality education and scholarly research/services, and has reached a significant milestone where its educational programmes are not only innovative but also accessible, and its major areas of research strength are well recognised and supported. It is now inviting applications for the position of: Research Assistant Professor (25260280) The appointee will work closely with an established research group in the Department to conduct high-quality research and showcase original and profound research accomplishments that have the potential to elevate them to international scientific leadership in chemical science. Additionally, the appointee will help co-supervise MPhil and PhD students, establish a cutting-edge research programme in computational chemistry and machine learning, and engage in various scholarly activities, including securing research funding and teaching undergraduate and postgraduate courses. Applicants must possess a PhD degree and postdoctoral experience in organic chemistry, computational chemistry or a closely related field from a reputable university/institution. They should have strong research experience in the theoretical and computational studies for catalysis and synthetic methodolgy, and an impressive publication record in peer-reviewed international journals. Prior teaching experience and a proven ability to mentor students are highly desirable. Preference will be given to candidates with prior faculty-level experience. The initial appointment will be made on a fixed-term contract of two years. Re-appointment thereafter will be subject to mutual agreement. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with job identification number (stated above) quoted on the letters, to the Human Resources Office (Email: hro@hkbu.edu.hk) direct. Those who are not invited for interview 2 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS The Department is strongly committed to producing top-class research in the areas of applied mathematics, scientific computing and statistics, while simultaneously emphasises the nurturing of students from a wide range of academic backgrounds.  It receives allocation from Science Faculty Niche Research Area to establish world-class research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research and engage in various scholarly activities, including securing research funding, student supervision and taking up teaching duties, if necessary. Requirements: A relevant PhD degree with a solid and outstanding track record in research; Ability to conduct research independently while effectively engaging in a team environment; A proven record of scientific productivity evidenced by peer-reviewed publications; A strong commitment to excellence in teaching and mentorship; and Excellent communication and interpersonal skills, as well as problem-solving and critical thinking abilities. The initial appointment will be offered on a fixed-term contract up to two years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with job identification number (stated above) quoted on the letters, to the Human Resources Office (Email: hro@hkbu.edu.hk) direct. Those who are not invited for interview 2 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.