Medizinische Hochschule Hannover

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Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery. 

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions. 

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,  and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods  that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications. 

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is  February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages). 
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page.  

Aalto University (53rd in the Times Higher Education THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi 

twitter.com/aaltouniversity 
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

China, Ningbo

Join a unique British University in China.  The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

The University of Nottingham Ningbo, China, a pioneer in Sino-foreign tertiary education, is rapidly expanding.  It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy.

The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes in Chemical and Environmental Engineering. An important part of the role will be to teach students in Chemical and Environmental Engineering degree. Candidates should be qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme.

The person appointed will also be expected to conduct ongoing original research for publication and play a lead role in collaborative research projects The purpose of this role will be to lead and deliver individual and collaborative research and teaching in the area of Chemical and Environmental Engineering, and make a contribution to the direction of research programmes in the Department/School of Chemical and Environmental Engineering.

Candidates must have a PhD degree in Chemical Engineering or a closely related discipline, and excellent communication and presentation skills in English. Knowledge and experience of industrial design and process safety are desirable. Experience of supervising student research up to the PhD level, and experience of teaching, tutorial or laboratory work at undergraduate and/or postgraduate levels in an English speaking institution are essential.

Salary will be within the range of RMB 439,794 to RMB 579,126 per annum, depending on skills and experience (salary progression beyond this scale is subject to performance). In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments.

The post will initially be offered on a fixed term contract with the University of Nottingham, Ningbo, China for a period of five years starting October 2024 or as soon as thereafter. This contract may be extended on an indefinite basis by mutual agreement.

Informal enquiries may be addressed to: Professor Philip Hall, Head of Department of Chemical & Environmental Engineering – The University of Nottingham Ningbo China, email: Philip.Hall@nottingham.edu.cn Please note that applications sent directly to this email address will not be accepted.

Interviews will take place in Ningbo, China, if feasible – virtual interviews may also held. Please be advised that normally your references will be contacted prior to the interview.

For more details and/or to apply on-line please access: 

https://jobs.nottingham.edu.cn/job/184021/

If you are unable to apply on-line please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 8404), Email: Job@nottingham.edu.cn.  


University of Nottingham Ningbo, China

United Kingdom, Renfrew

Salary range: £32,296 - £35,880 per annum 
FTE: 1.0
Term: Open-ended
Closing Date: 19 January 2025
Location: NMIS, Renfrew

The University of Strathclyde is a leading international technological institution and has a long history of working with industry to deliver strong business growth from access to research and innovation expertise. The latest major initiative continuing to deliver on this track record is through the National Manufacturing Institute Scotland (NMIS).

As a magnet for innovation in advanced manufacturing, the National Manufacturing Institute Scotland (NMIS) group of specialist R&D centres, supports manufacturing, engineering and associated tech businesses of all sizes, to thrive domestically and internationally through accelerating productivity, embracing new digital technologies and achieving net-zero targets.

We turn smart ideas into reality and deliver ground-breaking research.

Coming from diverse backgrounds and disciplines, our passionate team works alongside industry, academia, and the public sector to solve problems, train the workforce of the future and generate the creative ideas that will transform manufacturing.

Ultimately, we are growing the economy, developing a vibrant and skilled talent pool and helping create prosperous, sustainable communities.

NMIS seeks to appoint a Workshop Technician to support the operation of specialised equipment within its workshops. You will be primarily responsible for the set-up, operation and maintenance of machine shop CNC 5-Axis equipment used in relation to the delivery of industrial and academic research programmes.

To be considered for this role you will be educated to a minimum of HNC level or equivalent; or have relevant work experience in a similar role. You will have significant knowledge and expertise in multi axis CNC machining including: setting, programming and operation, and be able to interpret engineering drawings. You will have excellent troubleshooting skills, including a methodical approach to solving complex problems, with limited guidance. You will have an ability to work autonomously, prioritising and coordinating your own workload and making decisions with minimum supervision in order to meet project deadlines and you will have the ability to work as part of a multi-disciplinary team.

Whilst not essential for the role, applications are welcomed from candidates with experience of supporting production, and research and development manufacturing requirements.

For informal enquiries, please contact Scott Munro, Workshop Manager - scott.munro@strath.ac.uk

Click here for full details.pdf


University of Strathclyde

Malaysia, Sepang, Selangor

SCHOOL OF ELECTRICAL ENGINEERING AND ARTIFICIAL INTELLIGENCE

XIAMEN UNIVERSITY MALAYSIA

Xiamen University (XMU), established in 1921, is the first university founded by an overseas Chinese in the history of modern Chinese education. As one of the China’s leading research universities, XMU is ranked #198 in Best Global Universities at US News Best Global Universities 2024-2025.

Xiamen University Malaysia (XMUM) is an international branch campus of XMU, located in the Greater Kuala Lumpur, which is one of the most developed economic, cultural, and transportation centres in Southeast Asia and the one of best places in the world for expats (Expat City Ranking 2023).

Being the first Chinese university branch campus in Malaysia, XMUM aspires to become a university with a distinct global outlook, featuring first-class teaching and research, and embracing cultural diversity. School of Electrical Engineering and Artificial Intelligence (SEEAI) is now seeking highly motivated, committed, and qualified individuals for the positions of Assistant Professor / Associate Professor / to join our diverse and dynamic faculty.

ESSENTIAL REQUIREMENTS


	Applicants must possess a PhD degree in a related discipline
	Track record in research, ability to contribute to the research strengths of the discipline, through high-quality international publications and/or attracting competitive external research grants in the related field
	Evidence of high quality teaching ability
	Ability to supervise undergraduate and/or postgraduate students for final year/research project
	Outstanding English communication skills
	Indication of the capacity to engage as a member of committees for the University community
	Ability to contribute to the administrative duties and governance at any or all of school, faculty or University level
	Ability to work positively and cooperatively with staff and students


ACADEMIC POSITIONS AVAILABLE

Applicants with specific teaching and research interests in the following area(s) are encouraged to apply:

1. ELECTRICAL AND ELECTRONICS ENGINEERING*


	Embedded Systems
	Computer Vision and Robotics
	Digital System Designs
	Semiconductor Physics and Device Processes
	PCB Designs and Techniques
	Power Quality
	Engineering Mathematics
	Probability and Statistics


*Applicants with a Professional Engineer qualification (PEng) or Chartered Engineer (CEng) from IPEA, APEC and WA signatories and Graduate Engineer/Professional Engineer Certificate from Board of Engineers Malaysia (BEM) is a requirement.

2.ARTIFICIAL INTELLIGENCE


	Computational Cognitive Science
	Strategic Reasoning for AI
	Advanced Data Analysis
	Python and Tensorflow Programming


3. ROBOTICS AND AUTOMATION ENGINEERING 


	Engineering Mechanics and CAD
	Mobile Robotics
	Automation Engineering
	Smart Sensors and Actuators
	Intelligent Control and Systems
	Machines and Power
	Engineering Operations Management
	Digital Robotics


WHY CHOOSE XMUM


	First overseas branch campus established by a trusted and renowned Chinese university with a long history of academic excellence
	International working opportunity imbued with distinctive Chinese elements
	Diverse campus culture coupled with state-of-the-art infrastructure
	Competitive salary commensurate with qualification and experience in Malaysia
	Comprehensive fringe benefit package, including annual leave, medical insurance, housing and transportation allowance etc.
	On-campus accommodation will be given the priority to the international staff subject to the availability
	Internal research funding and individual Office will be provided
	Strategic location in Greater Kuala Lumpur region and healthy living neighbourhood


HOW TO APPLY

Applicants are invited to submit a digital application packet to:

recruit_academic@xmu.edu.my

The subject line of your email must include: your name, relevant academic discipline, and the specific position for which you are applying for. All application packets must include the following attachments:


	Your detailed and current CV with publication (*Asterisk to indicate corresponding author include Indexing & Quartile);
	Cover letter stating the source of job advertisement;
	Evidence of academic qualifications (Bachelor, Master & PhD Certificate; Bachelor, Master & PhD Transcripts and Professional Certificates);
	3-5 Full-Text publications (if applicable);
	Teaching evaluation (if applicable);
	Two academic references (at least one of them is the applicant’s current/most recent employer).


ADDITIONAL INFORMATION:


	We thank all applicants for their expressed interest. However, ONLY shortlisted applicants will be notified.
	Review of applications will begin immediately and continue until the positions are filled.
	Anticipated commencing semester:  February / April / September.
	Welcome to visit http://www.xmu.edu.my for more details.



Xiamen University Malaysia

United Arab Emirates, Abu Dhabi

Open Rank, Professor in Economics, with a priority given to the field of Theoretical or Applied Econometrics, Tenured/Tenure Track

Description

The Economics Program in the Division of Social Science at New York University Abu Dhabi (NYUAD) is inviting applications from economists with an excellent research record. Strong preference will be given to candidates in theoretical or applied econometrics, but outstanding candidates in all fields may be considered. The position comes with generous research support.

About NYU Abu Dhabi

Established in partnership between New York University (NYU) and the emirate of Abu Dhabi, over the last decade, NYUAD has assembled a remarkable community of scholars, students, researchers, artists, inventors, and others who have contributed to the growth of the UAE’s capital as a global hub of knowledge and culture while establishing a new model of higher education for today’s complex world.

NYUAD is animated by inspiring and diverse faculty, students, and staff working together in an exciting and dynamic city. As an international center of excellence in teaching and research, our goal is to attract outstanding faculty who are leaders in their fields, encouraging them to create programs that draw outstanding students and provide an intellectually rich environment.

NYUAD students come from more than 126 countries, with no single nationality exceeding more than 15 percent of the total student population. Likewise, our over 320 faculty members represent more than 45 nationalities and bring a global perspective to their classrooms and research projects. NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. In Economics, we currently offer a Bachelor’s and a MSc degree.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. 

Qualifications

This position requires a Ph.D. in economics.

Application Instructions

To apply for this position, please submit the following items:


	Curriculum Vitae (CV)
	Cover Letter
	Teaching Statement 
	Research Statement
	Recent teaching evaluations (optional)
	Diversity Statement (how you would contribute to inclusion, diversity, belonging, and equity)
	Up to 5 representative publications or other writing samples
	Names and email addresses of 3 references (each will be contacted to upload their reference via Interfolio). Senior candidates may delay having references sent until they know if they are finalists. 


We will review applications on a rolling basis and will continue until the position is filled. We will anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2024-2025.

For questions about this position, please email nyuad.socialscience@nyu.edu.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal opportunity employer. We particularly welcome applications from members of traditionally underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD
#nyuadfacultycareers

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


Medizinische Hochschule Hannover

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