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Harvey Mudd College

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The basic salary of EUR 5.014,30 (full-time basis; 14 times a year)

Austria, Vienna Danubepier Hov



At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an

University Assistant postdoctoral

47 Faculty of Psychology
Startdate: 01.09.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)
Reference no.: 5948

Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together!

Your personal sphere of play:

The Faculty of Psychology includes the Dean’s office, a StudyServiceCenter and four Departments (see https://univie.ac.at/psychologie). The courses offered in Psychology includes a bachelor's, master's and doctoral studies. Currently there are nearly 4000 students enrolled; which are taught and supervised by 220 teachers, within more than 250 courses per semester.

We are seeking candidates for a half-time non-tenured postdoc position (“University Assistant”, approx. equivalent to Lecturer”, fixed term contract of 6 years, no tenure track option) at the Department of Cognition, Emotion, and Methods in Psychology. The successful applicant will work in close collaboration with Prof. Claus Lamm (Chair of Biological Psychology, head of the SCAN-Unit) and his team at the Social Cognitive and Affective Neuroscience Unit (SCAN-Unit). The SCAN-Unit investigates a broad range of topics in the field of Social Cognitive Neuroscience, with a focus on empathy, prosocial behaviour, and more recently also environmental social neuroscience,. We investigate these phenomena mainly in healthy neurotypical populations, but also incorporate clinical samples (autism, psychopathy, depression), and comparative aspects (social cognition across the lifespan, and in non-human animals) in our approach. Further information about current and past research of the lab can be found on our webpage https://scan-psy.univie.ac.at/research/

Your future tasks:

We are looking for a postdoc in neurocomputational modeling and social decision making. Successful candidates have a strong background in data science and mathematical neuroscience/psychology and the application of advanced data analysis techniques to experimental behavioral and neuroimaging data. Due to the nature of the research and the envisioned research collaborations, good command of German will be mandatory.


	You actively participate in research, teaching & administration, which means:
	You are involved in our current research projects and scientific studies in the domains of social, environmental and decision neuroscience.
	This requires programming of experiments with human participants, typically in computer-based experiments in a behavioral or neuroimaging laboratory, but also in online experiments.
	You need to analyse empirical data from your own and collaborators’ experiments and studies, potentially including large and complex datasets of different modalities (in particular behavioral and neuro-cognitive methods).
	You collaborate and support other team members in their advanced data analyses, with a focus on computational modeling and Bayesian analysis approaches.
	You teach courses within the scope of the provisions of the collective bargaining agreement, focusing on neuro-cognitive and behavioral data science and (neuro)computational modeling.
	You take on administrative tasks in research, teaching, and administration.


Excellent oral and written English language skills are required. The working language of the lab is English. An autonomous work style and genuine curiosity are both required and supported. The position also involves teaching obligations (maximum 4 semester-hours (i.e., 3 in class presence hours) /week, seminars aligned with own research and methods skills at Bachelor and Master’s level). Previous teaching experience is a plus, but not mandatory.

All applications shall include: i) letter of motivation (1000 words max.) ii) CV including full academic record and iii) full list of publications (including a brief summary statement of how the top 3 publications relate to the position and what makes them outstanding). In the letter, please sketch a five-year research program that you would pursue if hired and how your profile and this program align with the requirements of the position.

This is part of your personality:

We are seeking applicants for a half-time postdoc position who have a strong interest in social and computational neuroscience. Candidates are expected to hold a very good university degree that qualifies them for the above tasks. The ideal candidate will have experience in conducting and analyzing behavioral experiments with human participants, physiological studies, statistical analyses, and dissemination of scientific manuscripts (documented, e.g., by peer-reviewed papers in top-tier journals). Advanced programming skills (preferably in Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high-level expertise with data analysis are mandatory; knowledge of neuroscientific methods, but in particular EEG and fMRI, and their analysis with “non-standard” advanced analysis approaches tailored to the research question is a key requirement. A track record in statistical-computational methods development and validation is highly desirable.


	Completed PhD degree or Diploma, e.g. in Psychology, Cognitive Neuroscience, Data Sciences, Statistics
	Advanced experience in academic writing and with research methods (e.g. statistical analyses with R, Python etc.)
	Didactic competences, teaching and supervision experience is desirable
	A strong interest in Social Neuroscience and Decision Making
	Excellent command of written and spoken English and German (C1 Level)
	Expertise in scientific computing with, e.g. R, Python, Matlab
	Experience in formulating and fitting computational models of cognition using probabilistic programming languages, e.g. Stan, Turing, Tensorflow
	Experience with advanced applications of Bayesian inference approaches is highly desirable
	Expert knowledge in the areas of social and computational neuroscience 
	You should be a team player with high social and excellent communication skills
	Autonomous and proactive working style
	Problem solving abilities
	Interest in pursuing education in emerging research fields


What we offer:

Work-life balance: Our employees enjoy flexible 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.

Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis; 14 times a year), increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It is that easy to apply:


	With your scientific curriculum vitae / letter of intent
	With your list of publications
	With your summary of research interests (max. 1 p.)
	Doctoral Degree 
	Contact details of persons who could provide reference letters
	Via our job portal / Apply now - button


If you have any content questions, please contact:

Claus Lamm

claus.lamm@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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, 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: 08/10/2026

Post Doc


University of Vienna

Ireland, Maynooth

Department: Commercialisation Office
Vacancy ID: 043243
Closing Date: 23-Aug-2026

We are seeking to appoint a Commercialisation Development Officer to lead knowledge exchange opportunities in Arts, Humanities, Social Sciences, and related SHAPE disciplines, with particular emphasis on digitally mediated and digitally scalable outputs. The Commercialisation Development Officer will identify and develop commercial and societal opportunities arising from AHSS/SHAPE research, particularly through digital delivery models (e.g., EdTech, digital archives, or social enterprise platforms). This includes pathways that extend beyond traditional patent‑led models, such as digital cultural content, data and platforms, educational technologies, creative‑industry collaborations, consultancy, policy tools, public engagement products, and social innovation.

The successful candidate will work closely with MaynoothWorks Commercialisation Executives who manage research commercialisation in delivering high‑quality KPIs across a broad portfolio including researcher engagement, partnerships, income generation, training, and impact reporting.

Administrative Officer 1(2026) Salary Scale: €60,410 – €86,192 p.a. (9 points)

Appointments will be made in accordance with public sector pay provisions.

Closing Date:

23:30hrs (local Irish time) on Sunday, 23rd August 2026

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


Maynooth University

United Kingdom, Durham

The Role and Department

Careers & Enterprise sits within the Education Division, which is headed by the Pro Vice Chancellor for Education, and is part of the University's developmental approach to ensuring effective student engagement, achievement and positive progression.

Careers & Enterprise (C&E) is a dynamic and developing team, operating across the university through subject departments, colleges, societies and industry facing initiatives to support the development and progression of all students. It aims to help them meet the challenges and opportunities of the constantly developing employment market, and become the leaders and innovators of the near future. The post holder will lead the work of the Work Based Learning Team and the Employer Services Team to deliver a comprehensive programme of employer engagement activities as well as the strategic and delivery lead of funded work-based learning initiatives, including externally funded programmes, extra-curricular internships and in-curriculum work-based learning support. As a member of the Senior Management team, a key role for the post will be to attract local, national and international business to establish opportunities for Durham students and graduates and to work innovatively to generate external funding to improve the Careers and Enterprise offer for key stakeholders. This post will work in close partnership with University departments ensuring effective collaborative practice and referral to support opportunity curation. The post will also engage more widely with internal and external stakeholders, acting as a champion for employer engagement and work experience activity and aim to learn from best practice delivery elsewhere. Further information about the role and the responsibilities is at the bottom of this job description.Careers & Enterprise (C&E) Centre is a dynamic and developing team, operating across the university through subject departments, colleges, societies and industry facing initiatives to support the development and progression of all students. It aims to help them meet the challenges and opportunities of the constantly developing employment market, and become the leaders and innovators of the near future.

The post holder will lead the work of the Work Based Learning Team and the Employer Services Team to deliver a comprehensive programme of employer engagement activities as well as the strategic and delivery lead of funded work-based learning initiatives, including externally funded programmes, extra-curricular internships and in-curriculum work-based learning support. As a member of the Senior Management team, a key role for the post will be to attract local, national and international business to establish opportunities for Durham students and graduates and to work innovatively to generate external funding to improve the Careers and Enterprise offer for key stakeholders. This post will work in close partnership with University departments ensuring effective collaborative practice and referral to support opportunity curation. The post will also engage more widely with internal and external stakeholders, acting as a champion for employer engagement and work experience activity and aim to learn from best practice delivery elsewhere. Further information about the role and the responsibilities is at the bottom of this job description.

Further information about the role and the responsibilities is at the bottom of this job description.


Durham University

Department: Library
Vacancy ID: 043403
Closing Date: 30-Aug-2026

We are seeking a committed, proactive person to support the work of the library in the critical area of Research Services. Based in the Research Services Unit and under the broader Research, Open Scholarship and Innovation Services Section, the post holder will work closely with staff in their department, but also other departments of the Library and will report to the Research Services Manager. They will be expected to operate with minimal supervision and have the skills and knowledge to plan, manage, and track their work to ensure that deadlines are met. The successful candidate must be able to communicate effectively with people at all levels, and be able to keep clear, consistent, and accurate records of all activities undertaken.

Senior Library Assistant (2026) Salary Scale: €46,216 – €56,092 p.a. (7 points)

Appointments will be made in accordance with public sector pay provisions.

Closing Date:

23:30hrs (local Irish time) on Sunday, 30th of August 2026.

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


Department: Hamilton Institute
Vacancy ID: 043383
Closing Date: 16-Aug-2026

Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued.

The Hamilton Institute/Department of Electronic Engineering at Maynooth University, Ireland, has further opportunity for a well-qualified postdoctoral researcher to join the RINN – Research Ireland Centre for Data Science and Artificial Intelligence, within the Climate & Sustainability research theme.

This role is part of a national Centre, Rinn Artificial Intelligence – Research & Innovation in Data Science and AI, a multi-institutional interdisciplinary National Centre for Data Science and AI funded by Research Ireland. This position for Post-Doctoral research will sit within the Faculty of Science and Engineering under the supervision of Rinn AI Research Ireland Principal Investigator, Associate Professor Erivelton Nepomuceno.

Project theme: Energy-Aware Modelling and System Identification for Sustainable Computing

The successful candidate will join a dynamic and interdisciplinary team of researchers working at the interface of system identification, data science, artificial intelligence, and sustainable computing. The research will be conducted jointly between the Hamilton Institute and Department of Electronic Engineering, with the researcher also becoming a member of the Sustainable Circuits and Systems Laboratory.

The project aims to develop an energy-aware modelling and system identification framework that incorporates computational efficiency into the model development process. Rather than focusing solely on predictive performance, the research will investigate methods to balance model accuracy and computational complexity, enabling the development of more sustainable modelling approaches.

The project combines concepts from nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning models. The developed methodologies are expected to contribute to sustainable simulation and efficient computational modelling across a range of engineering applications.

Post-Doctoral Researcher: €47,237 (1 point - with increment)

Appointments will be made in accordance with public sector pay provisions.

Closing Date:

23:30hrs (local Irish time) on Sunday, 16th of August 2026.

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


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