Jobs and positions

Junior researcher CANAL AI Lab

Link to vacancy: Junior researcher CANAL AI Lab — AcademicTransfer

The Department of History of the Faculty of Humanities is looking for a junior researcher for the newly-formed CANAL AI Lab. The mission of this lab is to examine cultural data using methods from Cultural Analytics and Artificial Intelligence without losing sight of the critical perspectives on data, methods, and broader sociocultural factors. CANAL is co-located with the Faculty of Humanities research program Creative Amsterdam: An E-Humanities Perspective (CREATE) and is directed by dr. Melvin Wevers (@melvin.wevers) d dr. Nanne van Noord (@Nanne).

The interviews will be held Thursday 27 July or Friday 28 July.

As a junior researcher you will assist with ongoing research in the lab. This offers an opportunity to further expand your skills and learn about new methods. Additionally, you are tasked with helping out with the organisation of workshops, talks, and meetings as well as managing our website and social media channels.

What are you going to do

Cultural factors impact how we interpret data. These factors can vary over time and place. Existing methods for cultural analytics, including AI, generally overlook these factors. The CANAL AI Lab aims to develop methods that are culturally-aware. As CANAL AI is in its start-up phase we are looking for a junior researcher / research assistant who is interested in participating in research projects, supporting us with organisational tasks, and playing a role in increasing the visibility of CANAL AI across the University of Amsterdam.

Your tasks and responsibilities (with provisional division of time spent):

  • Participate in ongoing research, with options for co-authored publications (75%)
  • Organise workshops, events, and meetings (15%)
  • Survey possible affiliated researchers (5%)
  • Manage the CANAL AI website & socials (5%)


A curious, creative attitude towards research with demonstrable experience or a clear willingness to learn new ways of analysing cultural data using computational means. You are well organised and able to work on different tasks without losing focus of priorities.

Your experience and profile

A degree (MA/MSc or RMA/Sc) in a related field, including but not limited to programs in Digital Humanities, Data Science, Informatics, Digital History (required);

  • Excellent written and spoken English and Dutch (required);
  • Experience with data science methods and programming languages;
  • Experience with website management.

An interest in digital methods in the humanities and/or an interest in artificial intelligence and data ethics would be preferred for this position.

Conditions of employment

We offer a temporary employment contract for a period of 1.5 years with a probationary period of two months. Preferred starting date is September 1st 2022. The employment contract is for 25 hours a week.

The gross monthly salary, based on 38 hours per week and relevant experience, ranges between between € 2,818 to € 3,764. This sum does not include the 8% holiday allowance and the 8,3% year-end allowance. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

What else do we offer

  • opportunity to develop a PhD proposal, ideally related to the topic of the position or the area of AI, or digital humanities;
  • the opportunity to collaborate and publish with leading researchers at research institutes that - partly as a result of their interdisciplinary approach - are world renowned;
  • opportunity to get acquainted with new research methods and topics of research.
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Assistant Director, Center for Digital Humanities at Princeton University

The Center for Digital Humanities (CDH) seeks an Assistant Director to help accelerate impactful and ethical research at the intersections of data, computation and the humanities at Princeton. As a collaborative and strategic thinker, the Assistant Director will bring expertise in digital humanities program design and administration, project management, and software development to expand current programs and launch new initiatives. The Assistant Director may serve as PI or co-PI on faculty collaborations or (with University approval) on externally-funded grants. The Assistant Director is expected to contribute to digital humanities scholarship through publications, presentations and outreach to the community. This position qualifies for 20% R&D time.

  • Overseeing the CDH Grants and Fellowships Program
    • Runs sponsored project intake process (CFPs, publicity, evaluation)
    • Onboards grantees, provides project management and implementation guidance, tracks project progress and assesses success.
    • Develops collaborative grants or programs with campus partners.
    • Consults with Princeton faculty on grant applications for both internal and external funding.
  • Coordinating Princeton’s Humanities Research Software Engineering (RSE) Community
    • Works closely with campus partners to facilitate the successful expansion of the humanities RSE community at Princeton
    • Helps determine staffing models, participates in recruitment, hiring and onboarding of humanities RSEs
    • Works with faculty PIs and other stakeholders to design, scope, and staff projects
    • Provides high-level project management oversight for humanities RSE projects
  • Overseeing CDH Educational and Curricular Initiatives
    • Helps determine priorities for CDH programs and initiatives for Princeton graduate and undergraduate students
  • Overseeing CDH Postdoctoral Fellows program
    • Helps recruit, hire, onboard and oversee work of postdocs based at CDH
    • Collaborates with departments and other campus partners to expand DH postdoc community at Princeton
  • Staff Management
    • Serves as indirect supervisor for humanities RSEs campus-wide
    • Supervises CDH postdoc(s)
    • May supervise CDH staff working on graduate and undergrad initiatives
  • Research and Development
    • Maintains an active research profile, publishes and presents at academic venues, and contributes to digital humanities scholarship at Princeton and beyond.

Required Qualifications

  • Advanced degree and postgraduate research experience in the humanities, social sciences, or a related discipline (MA required)
  • Minimum work experience: 4-6 years in a DH, academic or research library setting
  • Proven success managing or coordinating a range of digital humanities projects
  • Demonstrated familiarity with emerging data-driven and computational methods for research (such as quantitative and algorithmic methods, text mining, image analysis, network analysis, dataset curation, humanities mapping, critical big data studies).
  • Knowledge on current trends in software development tools, techniques, and programming languages used in humanities research.
  • Demonstrated success working with diverse teams (faculty, graduate students, undergraduates, library staff, technologists, administrators) from various divisions of a university or college
  • Excellent organizational skills, interpersonal skills and ability to manage multiple priorities
  • Excellent oral and written communication skills; able to make presentations to faculty, staff, leadership

Preferred Qualifications

  • Experience supervising staff at various levels
  • Experience working with a nationally or internationally known digital humanities center or project
  • Successful grant-writing experience

Please provide a cover letter along with your application materials.

This position is based on campus and allows for flexible work arrangements in accordance with University policy.

Preliminary review for this position will begin on Monday, October 17, 2022. Please contact with any questions.

Apply for this position on the Princeton University Careers website.


Postdoc(s) | 2 years | ChangeIsKey! | Gothenburg, Sweden | Deadline: Nov 15

(reposting from the corpora list)

We (the Change is Key! program) are hiring a second postdoc! Do you have a lot of drive and are interested in getting engaged in a vibrant, new research field with the chance to work with some of the best in the field?

We are announcing one or more 2-year postdoc positions in identification and analysis of lexical semantic change using computational models applied to diachronic texts. Application deadline November 15!

Our languages change over time. As a consequence, words may look the same, but have different meanings at different points in time, a phenomenon called lexical semantic change (LSC). To facilitate
interpretation, search, and analysis of old texts, we build computational methods for automatic detection and characterization of LSC from large amounts of text. Our outputs will be used by the lexicographic R&D unit that compiles the Swedish Academy dictionaries, as well as by researchers from the humanities and social sciences that include textual analysis as a central methodological component.

We are looking for a researcher with a phd in a relevant area (for example, language technology/natural language processing, computer science, complex systems, mathematics, linguistics with experience in computational methods, or informational sciences).

The Change is Key! program and the Towards Computational Lexical Semantic Change Detection research project offer a vibrant research environment for this exciting and rapidly growing cutting-edge research field in NLP. There is a unique opportunity to contribute to the field of LSC, but also to humanities and social sciences through our active collaboration with international researchers in historical linguistics, analytical sociology, gender studies, conceptual history, and literary studies.

Application link below.

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Postdoc in digital humanities/history and philosophy of science (TU Berlin)

The project “Network epistemology in practice (NEPI)”, funded by the European Research Council (ERC) through a Consolidator Grant to Adrian Wüthrich (Technische Universität Berlin), is seeking to appoint a postdoctoral researcher in history and philosophy of science with special expertise in computational methods and digital humanities. The project will analyze the recent and ongoing digital communication inside a major collaboration in the field of particle physics. The main objective is to understand how knowledge is generated in large scientific collaborations. The project will primarily use methods from network analysis and machine learning to identify relevant communication structures and attempt to track the flow of ideas through the communication network.

Deadline for applications: December 16, 2022

The position is funded for 3 years, full-time. Earliest starting date: January 1st, 2023.

For application instructions and further details, please refer to the full and official job announcement at

Further information on the project NEPI is available at


Research Software Engineer


Do you want to advance humanistic research through software? Are you a humanities researcher who loves to write code to solve problems? Are you a software engineer who wants to tackle research questions? If so, consider applying to join the Center for Digital Humanities (CDH) and Research Computing at Princeton as our new Research Software Engineer (RSE).

As RSE, you will be an integral member of a collaborative team that designs and implements high-quality, sustainable software to advance research in the humanities and the data-driven or computational sciences. You will collaborate with faculty, student, and campus partners to help translate research priorities into software needs, including analyzing data, implementing models or simulations, and developing software modules or tools. You will consult with Princeton scholars and recommend appropriate approaches and solutions, and will contribute to research articles, presentations, and course modules. Some of the first projects that you will work on include a project on 20th-century literary history, and a project on aerial photography and the environmental history of 20th-century Africa.

We are looking for someone with demonstrated experience in at least one technical approach or methodology relevant to humanities research, but we are flexible on the specifics. The interests and experience you bring to CDH will benefit existing projects, and will help recruit new partners for future collaborations.

This position reports to the CDH Lead Developer and qualifies for 20% R&D time on personal research or professional development that enhances/complements departmental work. It is a full time, full benefits, permanent, onsite position, with the option of up to two days per week work from home.


  • Build, port, test, debug, and document research software. Contribute to maintenance and updates for existing research software as needed.
  • Analyze, transform, migrate, and process data and metadata
  • Participate in code review and contribute to team best practices (unit testing, documentation, continuous integration, etc.)
  • Translate research goals into software deliverables; analyze requirements, design software, information architecture
  • Advise faculty and students on best practices, solutions and scope for humanities data-driven research
  • Promote the work of the CDH and Research Computing at Princeton campus and to the broader digital humanities community (e.g. give presentations, write blog posts, etc)


  • Bachelor’s degree in Digital Humanities, Computer Science, or a related discipline; graduate-level research (MA or PhD) in a Humanities or related discipline preferred
  • 2-5 years’ experience as a Research Software Engineer or in a similar field.
  • Experience with humanities research and ability to communicate with humanities researchers, computer scientists, and data scientists.
  • Exhibits programming skills, particularly in one or more languages typically used for computational humanities research and data analysis (Python preferred).
  • Demonstrated success:
    • Using conventional and readable coding style.
    • Creating comprehensive and well-written documentation.
    • Using version control systems and various aspects of automated testing, including unit testing, integration testing, and continuous integration
  • Demonstrated successes contributing to a collaborative research team.
  • Ability to learn new programming languages and technologies beyond area of core knowledge.
  • Strong oral and written skills; ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
  • Experience working in an academic research environment.
  • Familiarity with Machine Learning (e.g. Deep Learning, Convolutional Neural Networks, image feature extraction)
  • Ability to manage projects and multiple priorities.

Apply via the Princeton University Careers website.