Hitotsubashi University

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Hong Kong, Tuen Mun

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 aspires to become 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:

Associate Professor / Assistant Professor
Department of Operations and Risk Management
(Post Ref.: 24/355)

The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for external competitive grants and commit to teaching excellence and active services to the Faculty and the University. Candidates are required to provide evidence of their research records and quality teaching. A proven record in academic leadership and institutional service would be a distinct advantage.

General Requirements

Candidates should have (i) a PhD degree in Information Systems or a relevant discipline; (ii) a strong publication record in peer-reviewed journals in Information Systems and relevant areas; (iii) a good track record in competitive grant applications; and (iv) relevant teaching experience.

For appointment of Associate Professor, candidates should have at least 5 years of relevant experience in research and teaching, with a strong publication record in peer-reviewed journals and a soundtrack record in teaching and competitive grant applications in relevant areas. Top-tier journal publications and successful GRF applications would be a distinct advantage. For appointment of Assistant Professor, candidates should have a good research record and demonstrate strong potential in publishing high-quality papers. Relevant work experience is not required but would be a plus.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for an external competitive grant and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants should provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential.

Appointment

The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will 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.


Lingnan University

Norway, Trondheim

About the job

The Adjunct Associate Professor position has a full-time equivalence of 20% and has a fixed term of 3 years with the possibility of employment for further periods. This role addresses the growing interest in integrating computer vision, machine learning, and artificial intelligence within the aquaculture industry, enhancing fish welfare, promoting sustainable operations, and maintaining the structural integrity of farming facilities both in Norway and internationally. The position is externally funded for 3 years. 

Over the recent years, the Department of Engineering Cybernetics experienced a steady increase in interest in computer vision applications for aquaculture fish farming, thereby increasing the number of students choosing related topics for their master projects. To address this growing interest, the department aims to provide specialized teaching in computer vision tailored specifically for aquaculture.

Your immediate leader is Head of Department.

Responsibilities


	Teaching Topics in Computer Vision for Aquaculture: Preparation of lectures and practical sessions for a new specialization course that includes computer vision for aquaculture. This includes development of teaching material such as lecture notes/compendium and exercises.
	Research and project proposals: Contribute to research initiatives/project proposals that includes computer vision for aquaculture, in areas such as individual salmon recognition, fish net inspection, and 3D reconstruction for aquaculture and potential to the development of autonomous marine solutions, with the aim to submit at least one RCN project proposal within the period.
	Student Supervision: Propose topics for, and supervise project and master’s students working on computer vision applications in aquaculture.
	PhD and Research Supervision: Guide PhD candidates, postdoctoral fellows, researchers, and students at the department who wish to require expertise in computer vision for aquaculture.
	Community Building: Contribute to building a strong academic community focused on computer vision for aquaculture within the department, fostering collaboration with other departments on related methodologies and applications.


In this position, you will share academic responsibilities with the department’s other scientific staff. You are therefore obliged to participate in the implementation of the teaching plan according to the current study curriculum and contribute to the ongoing development of the subject area and teaching program.

Required selection criteria

Adjunct Associate Professor:

The position of Assistant Professor within “Advanced Computer Vision for Aquaculture
Cybernetics” requires that you meet the criteria in the Regulations concerning appointment and promotion to teaching and research posts section 1-4.  


	Your academic work must include work in practical and/or theoretical computer vision
	for aquaculture
	A PhD in computer science, electrical engineering, robotics, or a related field with a
	strong focus on computer vision
	At least 2 years of research experience after PhD in computer vision with applications in
	aquaculture or marine environments
	A robust publication record in peer-reviewed conferences and journals, demonstrating
	expertise and leadership in computer vision and its applications in aquaculture
	Proven ability to teach and mentor students at undergraduate and graduate levels, with
	experience in curriculum development and course design
	Proficiency in programming languages such as C++, Python, and MATLAB, and
	experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer
	vision libraries (e.g., OpenCV)
	Demonstrated experience in collaborating with interdisciplinary teams, including
	marine biologists, aquaculture engineers, and industry partners
	Ability to participate in and initiate project grant writing and management
	Excellent written and verbal communication skills in English, with the ability to convey
	complex technical concepts to students, colleagues, and non-specialist audiences
	Leadership skills with a proactive approach to mentoring junior researchers for a
	collaborative and supportive research environment


In addition to formal qualifications in teaching at university level, you must document


	Development in teaching and counselling of students over time
	Extensive experience with supervision preferably at the master / PhD level
	Participation in the development of educational quality in a work environment


You must document relevant basic competence for teaching and supervision at university/higher education-level, ref. Regulations. If this cannot be documented, you are required to complete an approved course in university teaching (1 module = 20 h) within two years of commencement. NTNU offers qualifying courses.   

Preferred selection criteria


	Applicants with teaching experience from higher education will be preferred 
	Experience, in developing and implementing computer vision solutions suitable for the aquaculture industry or marine technology
	Application-driven experience within aquaculture operations


Personal characteristics


	Communication Skills: Strong communication skills in English, both oral and written, with students and colleagues
	Collaboration Skills: Excellent teamwork and collaboration abilities
	Flexible Mindset: Flexibility to work on both fundamental and applied research
	Structured Approach: Ability to work in a structured manner
	Solution and Result Orientation: Solution- and result-oriented mindset
	Emphasis will be placed on personal and interpersonal qualities.


We offer


	Exciting and challenging tasks in a dynamic and international academic environment
	An open and inclusive working environment, with enthusiastic colleagues
	Favorable terms in the Norwegian Public Service Pension Fund employee benefits


Salary and conditions

In a position as Adjunct Associate professor (code 1011) you will normally be remunerated from gross NOK 690 000 to NOK 870 000 per year, corresponding with a 20% position, depending on qualifications and seniority. If you are eligible for membership at the Norwegian Public Service Pension Fund, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.   

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work. 

About the application

The application and supporting documentation must be in English. 

Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above. 

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

Your application must include:


	CV, diplomas, and certificates
	A teaching portfolio, in which your teaching competence is compiled and presented systematically,   (See guidelines for applicants: Documentation of teaching qualifications in applications and appointments to academic positions at NTNU)
	Academic works – published or unpublished – that you wish to be considered during assessment of your application (up to 10 items)
	A description of the scientific/artistic works you consider most relevant, which you particularly wish to be factored into the assessment
	A list of your previous works, with details on where they have been published
	A research plan
	Details of projects for which you have served as project manager, including information on financing, duration, and scope
	Names and contact information for three relevant referees


Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include evidence of your contributions.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.

NTNU is obliged by the evaluation criteria for research quality in accordance with The San Fransisco Declaration on Research Assessment – DORA. This means that we will pay particular attention to the quality and academic range demonstrated by your scientific work to date. We will also pay attention to research leadership and participation in research projects. Your scientific work from the last five years will be given the most weight.

Your application will be considered by an expert committee. Candidates of interest will be invited to an interview, and to deliver a trial teaching session.

General information

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background. 

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted. 

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted. 

For the sake of transparency, candidates will be given the expert evaluation of their own and other candidates. As an applicant you are considered part of the process and is stipulated to rules of confidentiality.  

If you have any questions regarding the position, please contact Sebastien Gros, e-mail sebastien.gros@ntnu.no

If you have questions regarding the recruitment process, please contact HR, e-mail rekrutteringsteam@ie.ntnu.no

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.  

Application deadline: 13.11.2024



NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Questions about the position

Sebastien Gros
Instituttleder
sebastien.gros@ntnu.n

Deadline 13th November 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fixed percentage (20%)
Duration Temporary
Place of service O. S. Bragstads plass 2D, 7034 Trondheim


Norwegian University of Science and Technology

Austria, Vienna Danubepier Hov

47 Faculty of Psychology
Startdate: 01.12.2024 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: permanent
Reference no.: 3062

Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. Does that sound like something for you? Welcome to our team!

The Faculty of Psychology consists of the Dean’s office and the studies service center, as well as Department of Cognition, Emotion, and Methods in Psychology, Department of Occupational, Economic and Social Psychology, the Department of Applied Psychology: Work, Education and Economy, Department of Developmental and Educational Psychology the Outpatient Unit for Research, Teaching and Practice. Currently, nearly 3,500 students of Psychology are enrolled in Bachelor's, Master's and PhD programmes, attending nearly 200 courses per semester, which are taught and supervised by 220 teachers.

As a university assistant prae doc, you will join the Department of Cognition, Emotion, and Methods in Psychology at the Faculty of Psychology.

The Department consists of approximately 100 staff members organized in eight research units with fMRI, EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation facilities. The interdisciplinary Methods of Psychology team (https://meth-psy.univie.ac.at/) currently consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new neurotechnologies and AI tools to better understand psychological phenomena and to advance experimental therapies for debilitating psychiatric and neurological disorders.

Your personal sphere of influence:

For this position, we are seeking a candidate with a strong interest in leveraging advanced AI technologies to improve mental health solutions. These include developing interpretable machine learning models for accurate data predictions, applying NLP and LLMs to improve psychiatric diagnostics, and automating personalized exposure therapy with augmented reality to make mental health treatment more accessible and effective (https://meth-psy.univie.ac.at/research/forschungsbereich-prof-scharnowski/research-areas/). Candidates should have a very good university degree in psychology, cognitive science, computer science, engineering, physics, or related fields. Strong computational skills are required, e.g., Python and R. Fluency in English is a must; good knowledge of German is desireable. The ideal candidate will have experience in conducting and analyzing behavioral experiments, online experiments, statistical analyses, and programming.

Your future tasks:

As a new member of our team, you will actively participate in research, teaching & administration, which means:


	You will be involved in research projects and scientific studies in the area of applying computational methods, to psychological domains, with a particular focus on applications to anxiety disorders.
	You will be working on completing your dissertation (cumulative dissertation based on manuscripts).
	We expect you to finalize your dissertation agreement within 12-18 months.
	You will design, implement, and conduct experiments with human participants.
	You will apply computational modeling and AI tools to psychological and clinical data.
	You will teach courses independently within the scope of the provisions of the collective bargaining agreement.
	You will take on administrative tasks in research, teaching, and administration.


This is part of your personality:


	Completed Master's degree in the field of psychology, cognitive science, data science, computer science, engineering, physics, or related fields
	Experience in academic writing and research methods
	Excellent communication skills
	Very strong IT skills
	Interest in emerging technologies
	Must be a team player


What we offer:

Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). 

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport..

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 3578,80 (on a full-time basis) increases if we can credit professional experience. This position is a 30 hours/week position.

Predoc Contract Model 1: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible.

Equal opportunities for all: We look forward to diverse personalities in the team!

It is that easy to apply:


	With your scientific curriculum vitae / letter of intent
	A brief statement of your research interests
	Master Degree  /  Diploma
	With the names and contact details of 2 referees
	Via our  job portal/ Apply now -  button


If you have any content questions, please contact:

Frank Scharnowski

frank.scharnowski@univie.ac.at

We look forward to new personalities in our team! 
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

Application deadline: 12/01/2024

Prae Doc


University of Vienna

$81,318 - $95,541 per annum plus 17% superannuation

Australia

Classification: ANU Officer Grade 5/6 (Research)
Salary package: $81,318 - $95,541 per annum plus 17% superannuation
Term: Full time, Continuing (Contingent Funded) funded until 15 September 2028

Working at ANU

This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence.

We offer:


	Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
	Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
	Designated parent rooms, quiet spaces and childcare facilities on campus,
	Career support, training, mentoring & upskilling opportunities.


For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here.

To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.

A Diverse and Inclusive Team

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here.

ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks.

The Position

This is a key role for an experienced Field Officer to conduct research monitoring and field activities for the Fenner School of Environment and Society. The successful candidate will maintain research databases and provide quantitative analysis for the work area.

The Person

We are looking for a strong team player with excellent interpersonal skills and the capacity to quickly develop productive, professional relationships with colleagues and clients. Highly developed organisational skills and effective self-management are key.

Learn more about the ground-breaking research and work class facilities of the Fenner School of Environment and Society here.

For more information about the position please contact Dr Elle Bowd E: elle.bowd@anu.edu.au.

To Apply

To be considered for this position, please upload the following documents:


	A current curriculum vitae (CV), and
	No more than a two page summary addressing your suitability against the selection criteria.


The committee will consider candidates that do not meet one or more aspects of the selection criteria.

If shortlisted, candidates will be asked to complete a:


	30 minute interview using behavioural interview questions


If you require adjustments to participate in any of the above assessments, please contact our HR team at E: hr.cos@anu.edu.au or T: +61 2 6125 6147. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions.

For examples of common reasonable adjustments please click here.

The successful applicant must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Closing at: Nov 10 2024 at 23:55 AEDT


The Australian National University

United Arab Emirates, Abu Dhabi

Description

Assistant Professor - Chemical & Petroleum Engineering

Job Purpose

The responsibilities of faculty members shall be an appropriate combination of:


	a) Dissemination of knowledge through undergraduate and / or graduate teaching; and
	b) Research, scholarly or other innovation activities; and
	c) University, community, and professional services


The academic/research background of the candidate should be in the development and characterization of Advanced Materials, including materials needed in the design and operation of chemical technology processes or those obtained as a product of such processes. Preferred applications of such materials are water and wastewater processing (including desalination), energy generation and storage, and biomaterials (in the context of the food supply chain), as these are currently central themes of the department. Highly motivated and passionate individuals with consistent research interests over time, who are continuously looking for new challenges and innovation opportunities are encouraged to submit their application.

 Key Roles & Responsibilities

Strategic Responsibilities

NA

Operational Responsibilities

Teaching:


	Teach at undergraduate and graduate level in subject areas and on time schedules allocated by the Chair of Department
	Prepare teaching material including course outline, syllabus and lesson plans. Revise the subject matter on regular basis as appropriate for that subject
	Contribute to the development, planning and implementation of a high quality curriculum
	Provide students with detailed syllabus, methods of instruction and evaluation in their courses
	Engage in the selection of textbooks and other teaching aids necessary to the instruction of courses
	Monitor students’ performance in their subject areas and provides remedial classes when necessary
	Set and mark exams, coursework, assignments, laboratory work, homework, and any other relevant activity
	Use up-to-date instructional technology and ensure the delivery is clear and consistent
	Supervise students’ research and practical work and of their theses preparation, as well as participate in evaluation of their theses
	Participate in professional peer reviews
	Supervise teaching internships
	Develop and improve their scholarly competence and effectiveness as teachers within their area of expertise


Research, Scholarly, and Innovation Activities:


	Carry out research and produce publications and other research outputs, in line with personal objectives agreed in the annual goal setting process
	Engage in scholarly or creative activities in their area of expertise and makes results available for critical peer review
	Deliver papers at professional association meetings, seminars and conferences
	Participate in panels at regional and international meetings of professional organizations
	Identify and successfully bid for external funding and grants
	Actively raise the Department and Faculty’s profile, internally and externally
	Participate in departmental and faculty seminars aimed at sharing research outcomes and building interdisciplinary collaboration within and outside the department
	Collaborate with colleagues, both within and outside the University, in conducting and managing research and consultancy activities


Academic Service:


	Play an active role in departmental, or University-wide working groups or committees as requested
	Contribute to student recruitment, retention and placement efforts
	Foster service by contributing to the community at large in participatory, developmental or advisory capacity
	Support and participate in student organization activities
	Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
	Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed
	Contribute to the academic community through peer review, editorial roles, and professional organizations.
	Engage in outreach, collaboration, and public engagement activities.
	Demonstrate a strong commitment and practice to maintaining a safe and healthy work environment
	Perform any other tasks assigned by the Line Manager


Qualifications

Qualifications & Experience

Required Qualifications


	Ph.D. in Chemical Engineering, Materials Science and Engineering, or a closely related field from an accredited and reputable institution. The candidate should be an emerging leader in a specific advanced materials sector with a track record of impactful publications and/or patents in this area.


Required Experience


	Minimum 2 years of postdoctoral experience relevant to the position.


Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (recruitmentteam@ku.ac.ae).

Closing Date: 31 December 2024


Hitotsubashi University

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