SUNY Binghamton University

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Germany, Dresden

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Mathematics, the Institute of Numerical Mathematics, invites applications for the

Chair (W2) of Applied Optimization

as of October 1, 2026.

You (m/f/x) represent an application-oriented topic in the field of optimization in both research and teaching. Possible areas of your research focus include "Discrete Optimization", "Operations Research", "Optimization Methods for Machine Learning or Data Science", "Optimal Control", "Optimal Transport", or "Optimization under Uncertainty". Your expertise should complement the existing strengths of the Faculty of Mathematics and of TUD. As part of our team, you will teach in mathematical degree programs and supervise theses and projects, particularly in the field of discrete optimization, and you will also take on export courses for other science and engineering programs. You contribute significantly to the development of relevant research topics through publications and the acquisition of third-party funding. Moreover, you work across disciplinary boundaries and are happy to cooperate with partners from outside the field of mathematics. The DRESDEN-concept research alliance provides excellent opportunities for such collaborations. TUD offers a dynamic and innovative workplace where you can play a pivotal role in inspiring and shaping the next generation of mathematicians. We look forward to working with you on enhancing our faculty’s research and teaching profile, as well as in strengthening the practical relevance of our degree programs. Additionally, we invite you to take an active role in academic self-administration.

We are looking for an internationally renowned expert in a relevant and application-oriented field of optimization. The successful candidate holds a habilitation or equivalent qualification in mathematics or a closely related discipline. You demonstrate your distinction through excellent research and high-quality publications, through your ability to obtain third-party funded projects, and your experience in international-level research. In addition, we expect broad experience in university teaching, ideally proven by positive teaching evaluations. Experience outside German science and academia, expertise in science communication, familiarity with academic management tasks, leadership and team management skills, as well as skills in diversity are also highly welcome. The requirements for appointment, the official tasks and the administrative status are governed by §§ 59, 69, 71 of the Institutions of Higher Education Act in the Free State of Saxony (SächsHSG) and the Regulations on Duties and Responsibilities of Institutes of Higher Education (HSDAVO).

For content-related questions, please contact the head of the appointment committee, Prof. Dr. Anita Behme, phone +49 351 463-32426, email: anita.behme@tu-dresden.de

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. If you have any questions about these topics, please contact the Equal Opportunities Officer of the Faculty of Mathematics (Dr. Hanne Hardering, phone +49 351 463-32002, email: gleichstellung.math@tu-dresden.de) or our Representative of Employees with Disabilities (Mr. Roberto Lemmrich, phone +49 351 463-33175).

We look forward to receiving your application by November 15, 2024 (time stamp on the email server or the stamped arrival date of the university central mail service of TUD applies).

Please attach the following documents to your letter of application:


	CV
	Synopsis of your academic career 
	List of your scientific publications with links to your five most relevant papers
	Summary of your teaching experience with evaluation results from the last three years
	Details of your third-party funding activities
	Brief research concept (at most 3 pages)
	Short concept (at most 3 pages) outlining your plans for teaching activities and research collaborations at TUD
	Copy of the certificate of your highest academic degree


We kindly ask you to submit your application by email. Please use the SecureMail Portal of TUD (https://securemail.tu-dresden.de) and send your documents in a single PDF document to: dekanat.math@tu-dresden.de. If you are applying by regular mail, please also attach your application documents in electronic form (CD or USB storage device) and send them to: TU Dresden, Fakultät Mathematik, Dekan, Herrn Prof. Dr. Axel Voigt, Helmholtzstr. 10, 01069 Dresden, Germany.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.


Technische Universitat Dresden

Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, 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.

At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society.

The Department of Applied Physics is now looking for a

Postdoctoral Researcher in Optics and Photonics

We are looking for an outstanding postdoc to join the Optics and Photonics group for theoretical and experimental research on nanophotonics. The research will be focused on the development of novel approaches to design, create, and investigate photonic metasurfaces that efficiently trap light and enhance nonlinear optical phenomena. The position is fully funded by the Research Council of Finland and involves collaboration with researchers from the Department of Electronics and Nanoengineering at Aalto University, as well as international collaboration with a research team from the Netherlands.

This is an anonymous recruitment. We want to increase our diversity at Aalto University, learn to understand unconscious biases, and make objective hiring decisions. Please read more about the recruitment process in the end of this ad.

Your role and goals

In this position, you will act as a researcher working on design and characterization of nonlinear metasurfaces supporting resonant optical modes known as photonic bound states in the continuum. The design will be based on numerical modelling methods. The samples will be fabricated using the cleanroom facilities of Aalto University and investigated by nonlinear optical methods using the equipment of the Optics and Photonics group.

As a member of the group, you will:


	use your knowledge and experience to achieve scientific breakthroughs in research on nonlinear metasurfaces and bound states in the continuum,
	advance the field by overcoming existing challenges and developing new scientific ideas,
	support research activities of other group members,
	write and publish high-impact articles,
	collaborate with other research groups, including participation in international research visits.


​Your experience and ambitions

Minimal requirements for the candidate are:


	doctoral degree in physics, photonics, materials science, or another relevant field,
	excellent scientific writing skills evidenced by publications in peer-reviewed journals,
	high level of understanding of principles of optics and photonics, especially related to nonlinear optics at the nanoscale and optical properties of periodic structures,
	familiarity with the relevant theoretical and experimental methods, such as numerical simulations and optical microscopy.
	excellent command of English; Finnish language is not required.


​Preference will be given to candidates with hands-on experience in conducting nonlinear optical experiments using ultrashort laser pulses and previous contributions to research on nonlinear metasurfaces and photonic bound states in the continuum.

What we offer

Aalto University follows the salary system of Finnish universities. The salary of a postdoc is in the range 4020 € - 4420 €/month (gross), depending on experience. The contract will be made initially for one year, with a possibility of extension. We expect the selected candidate to start the work in January 2025 or soon after. The annual workload of research and teaching staff at Aalto University is currently 1612 hours. The contract includes Aalto University occupational healthcare.

Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. There is great freedom in your role, and we have a flexible modern working culture. We value work-life balance and well-being in all aspects of life.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services, and good connections.

Join us!

To apply for the position, please submit your application through our online recruitment system by using the link on Aalto University’s web page ("Apply Now”). The deadline for applications is October 30, 2024. Please submit your application including the attachments mentioned below as a single PDF document in English:


	CV,
	PhD diploma,
	list of publications,
	contact details of at least three referees.


​In this anonymous recruitment, we make the first evaluation of the candidates anonymously; we are only interested to know your merits that make you a great fit for this role. This means, we will not see your personal details (such as name, gender, nationality, and age in the attachments) and we invite candidates for the interviews only based on their background, competences, and motivation seen in the answers to the online questionnaire.

Please fill out the application form with your full work experience and education background. In the open questions, focus on your skills, competences, and motivation towards the position at Aalto. In the application form, we ask personal details, such as name, age, nationality and gender and we also ask you to upload the following documents as a single PDF file: CV, PhD diploma, list of publications, and contact details of at least three referees. This personal information and documents are not visible for the recruiters in the first screening and will not be used for evaluation. The identity will be revealed when we invite the candidates to the interviews. When the identity is revealed, the attachments become visible for the recruiters.

If you are already an Aalto employee, please apply via internal Workday system (Internal Jobs) by using your existing Workday user account. Please make sure you include your work history and education, since internal candidates are also under anonymous screening to ensure equal treatment. Aalto University’s students and visitors should apply as external candidates with personal (not Aalto) email.

For additional information, kindly contact the HR Advisor Hanna Multisilta (hanna.multisilta@aalto.fi), who will forward your questions to the Principal Investigator. Aalto University reserves the right for justified reasons to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period.

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: Careers at Aalto | Aalto University

Check out our new virtual campus experience: Aalto University – virtual campus tour

 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: Living in Finland | Aalto University and For international staff | Aalto University

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

United Kingdom, Southampton

A cross-disciplinary team of researchers from the Universities of York, Cardiff, Manchester, Stirling, and Southampton are working together on an exciting EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach and efficient hardware architecture based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy, over long periods of time.

We are recruiting a team of outstanding researchers from Edge Computing, Detection and Estimation, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives.

You will be required to undergo security checks, to be carried out by the National Security Technology Innovation Exchange (NSTIx) (https://www.gov.uk/government/organisations/national-security-technology-and-innovation-exchange) before beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance.

In this role you will:


	Design and test detection and estimation algorithms utilising artificial spiking neural networks, and targeted at efficient hardware implementation with novel neuromorphic computing architectures.
	Collaborate with the neuroscience, engineering, and computer science RAs, and develop functional models that can learn, store, and detect important information from datasets.
	Collaborate with the other project researchers to develop the demonstrator applications.
	Conduct research, publish, and disseminate research through publications, seminars, conference presentations and public engagement.


The successful applicant should have (or shortly be obtaining) a PhD in electrical engineering or a closely related field. It is vital you have experience in estimation and control, machine learning, mathematical optimization. A background in deep learning would be advantageous.

The post will be full time for 24 months.

By applying, you are agreeing that we can share your information with project partners.

In your application, please provide a CV and cover letter detailing how you meet the essential and desirable criteria on the Job Description & Person Specification

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

For informal enquiries: please contact Dr Konstantinos Gatsis (k.gatsis@soton.ac.uk).


University of Southampton

Hong Kong

Work type: Full-time
Department: Department of Mathematics (25500)
Categories: Senior Research Staff & Post-doctoral Fellow

Post-doctoral Fellow in the Department of Mathematics

Ref.: 530029
Work type: Full-time
Department: Department of Mathematics (25500)
Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff

Position

Applications are invited for the appointment as a Post-doctoral Fellow in the Department of Mathematics. The post is for at least one year, and renewal for another year is subject to satisfactory performance. The applicant is expected to commence as soon as possible, but the starting date is negotiable. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointee will be working under the supervision of Prof. Zhigang Bao (https://sites.google.com/view/zhigangbaohomepage/).

Qualification


	Applicants should possess a Ph.D. degree in Mathematics, Statistics, or a related area.
	Candidates are expected to have a strong research background in the area of Random Matrix Theory, Free Probability Theory, or High-dimensional Statistics.


Application

The following documents are required:


	An up-to-date C.V.
	A cover letter
	A list of publications
	Two academic references are required.


If interested, applicants may email their C.V. and a cover letter to Prof. Zhigang Bao (zgbao@hku.hk) first. Any inquiries can be sent to the same email address.

The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site and upload an up-to-date C.V., a research statement, and at least two academic references. Review of applications will start on September 30, 2024, and continue until the positions are filled.


The University of Hong Kong

Austria, Vienna Danubepier Hov

49 Faculty of Social Sciences
Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: permanent
Reference no.: 3063

Among the many reasons 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 continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions.

Your personal sphere of influence

The Department of Communication, a subunit of the Faculty of Social Sciences at the University of Vienna is one of the largest and strongest research-oriented departments for communication science worldwide. The advertised position is situated within the Advertising & Media Psychology Research Group, led by Professor Jörg Matthes. The Advertising & Media Psychology Research Group deals with the impact of modern media environments on people's thinking, behavior, and opinions, using both quantitative as well as qualitative methods to conduct their research.

The position is advertised to the extent of 30 hours/week (75%) for a period of four years, with the position to be filled as soon as possble upon agreement.

Your future tasks

You actively participate in research, teaching & administration, which means:


	You actively collaborate in the area of empirical content, reception and effects research, especially advertising research and/or polical and/or environmental communication.
	You publish your research in international highly-ranked journals.
	You present your research at national and international conferences, meetings, and symposia.
	You actively engage in applying for third-party funded projects.
	You hold courses independently within the scope of the provisions of the collective bargaining agreement.
	You participate in evaluation measures and in quality assurance.
	The signing of a doctoral thesis agreement within 12-18 months of employment is expected.
	Contribution to the department administration is expected.


This is part of your personality


	You have obtained a completed MA / Magister degree in Communication Science or a related discipline.
	You have in-depth knowledge of methods of empirical social research, especially quantitative methods and statistical data analysis.
	You are interested in an international research orientation.
	You have obtained didactic competence.
	Ideally, you have experience in research-oriented university teaching.
	Excellent computer literacy
	Excellent command of written and spoken English
	Ability to work in teams and distinct organizational skills


What we offer

Work-life balance: We offer the opportunity to work remote upon agreement (maximum of 50% of working time).

Inspiring working atmosphere: An internationally-oriented team and department with outstanding research infrastructure and comfortable working environment.

Appreciative team culture: As a team, we regularly meet for exchange during team meetings and a range of team activities (team lunch, team retreat, Christmas party, etc.).

Excellent public transport connections: We offer an attractive workplace in the heart of Vienna which is easily accessible by public transport.

Internal further training & coaching: The University of Vienna offers a wide range of opportunities for internal training as well as enhancement of personal skills.

Fixed-term contract and fair salary: The basic monthly gross salary for this advertised position to an extent of 75% currently (2024) is € 2.684,10 (based on a full-time equivalent of € 3.578,80) and will be paid 14 times a year for a period of four years (i.e., the duration of the contract). The basic salary increases if we can credit prior professional experience.

The employment duration is four years. Initially limited to 1.5 years, the employment relationship is automatically extended to four years if the employer does not terminate it within the first twelve months by submitting a non-extension declaration.

It is that easy to apply


	With a letter of intent
	With your scientific curriculum vitae
	With your list of publications and a list of your presentations (if applicable)
	With the PDF of your MA or Magister thesis
	With your transcript of records
	Via our job portal/ Apply now –  button


If you have any content questions, please contact:

Jörg Matthes  

joerg.matthes@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: 10/08/2024

Prae Doc


SUNY Binghamton University

Rankings

World University Rankings 2024601-800^th

Arts and Humanities 2024501-600^th

Business and Economics 2024601-800^th

Clinical and Health 2024601-800^th

Computer Science 2024201-250^th

Education 2024401-500^th

Engineering 2024251-300^th

Physical Sciences 2024601-800^th

Psychology 2024301-400^th

Social Sciences 2024401-500^th

Key Student Statistics

Subjects Taught at SUNY Binghamton University

Education401–500^th

Arts and Humanities501–600^th

Business and Economics601–800^th

Clinical and Health601–800^th

Computer Science201–250^th

Engineering251–300^th

Social Sciences401–500^th

Psychology301–400^th

Physical Sciences601–800^th

Explore our featured universities

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SUNY Binghamton University

Rankings

Arts and Humanities 2024501-600th

Business and Economics 2024601-800th

Clinical and Health 2024601-800th

Computer Science 2024201-250th

Education 2024401-500th

Engineering 2024251-300th

Physical Sciences 2024601-800th

Psychology 2024301-400th

Social Sciences 2024401-500th

Key Student Statistics

Subjects Taught at SUNY Binghamton University

Education.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}401–500th

Arts and Humanities501–600th

Business and Economics601–800th

Clinical and Health601–800th

Computer Science201–250th

Engineering251–300th

Social Sciences401–500th

Psychology301–400th

Physical Sciences601–800th

Explore our featured universities

Arts and Humanities 2024501-600^th

Business and Economics 2024601-800^th

Clinical and Health 2024601-800^th

Computer Science 2024201-250^th

Education 2024401-500^th

Engineering 2024251-300^th

Physical Sciences 2024601-800^th

Psychology 2024301-400^th

Social Sciences 2024401-500^th

Education401–500^th

Arts and Humanities501–600^th

Business and Economics601–800^th

Clinical and Health601–800^th

Computer Science201–250^th

Engineering251–300^th

Social Sciences401–500^th

Psychology301–400^th

Physical Sciences601–800^th