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Chalmers University of Technology

Ranked
Goteborg, Sweden
201–250th in World University Rankings 2026
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About Chalmers University of Technology

Basic information and contact details for Chalmers University of Technology

institution

Chalmers University of Technology was founded in 1829 and named after William Chalmers, a director of the Swedish East India Company, who set aside funds in his will to establish an “industry school for poor children”, who were taught to read and write. Today his private home forms part of the university and is used as a meeting place for conferences, workshops and seminars. 

Chalmers University of Technology now has more than 8,600 students and just under 1,900 teaching and research staff at its two Gothenburg campuses. The port of Gothenburg, on the west coast of Sweden, is one of the country’s major cultural hubs, making it an attractive place to study. The city’s Art Museum has one of the most comprehensive collections of Nordic art, with works by artists such as Carl Larsson.

Aside from the two main campuses, the university conducts research at the Lundberg Laboratory in Gothenburg – a renowned centre for cellular and molecular research – and at its Onsala Space Observatory, about 30 miles south of the city, which is equipped with tide gauges, radiometers, navigation satellite receivers and a superconducting gravimeter, enabling scientists to study the Earth and the wider universe.

Other research fields that the university focuses on include nanoscience and nanotechnology, the built environment, life science, information and communication technology, and materials science, with Chalmers recently receiving a €10 billion (£8.3 billion) grant from the European Union to carry out research on graphene.

Notable Chalmers alumni include physics Nobel prizewinner Gustaf Dalén and jazz musician Jan Johansson.

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Key Student Statistics

A breakdown of student statistics at Chalmers University of Technology

gender ratio
Student gender ratio
33 F : 67 M (1)
globe fill
International student percentage
18% (1)
student per staff
Students per staff
11.9 (1)
student
Student total
10245 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

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University Assistant Predoctoral/PhD Candidate, Physics

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

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 predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2030 Reference no.: 5504 How can we perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As a university assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.-Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quantA. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions.The main activities range from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric precision measurements of weak gravitational forces. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on the premises, about 300 quantum researchers in Vienna. The Walther Group unites an international team of scientists who are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly experimental topics in small subgroups. Teamwork is a key factor in our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum communication, quantum foundations as well as the quantum-gravity interface. Your future tasks: Active participation in research, teaching & administration, which means: You are involved in a specific and well-funded research project dedicated to experimental quantum optics in 2D materials. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed your Master's degree or Diploma in Physics and written your thesis in the field of quantum optics or nonlinear optics in ultra-thin materials. You have experience with table-top experiments, photonic platforms, optical non-linear processes, quantum optics and ultra-thin 2D materials. You have experience in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English. What we offer: 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. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10(40h/w, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Your scientific curriculum vitae  A letter of motivation  Your bachelor's and master's degrees Title and abstract of your master's thesis Contact details of 2 references If you have any content questions, please contact: Philip Walther philip.walther@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: 04/25/2026  Prae Doc

Salary

The basic salary of EUR 3.776,10 (40h/w, 14x p.a.)

Posted

17 Apr 2026

Professor / Associate Professor / Assistant Professor - Medical Program

BOND UNIVERSITY

Bond University

Australia, Gold Coast

institution

Bond University

Australia, Gold Coast


About the position As Australia’s first private, not-for-profit university’, Bond University based in Robina on the Gold Coast seeks to be recognised internationally as a leading independent university, imbued with a spirit to innovate, a commitment to influence and a dedication to inspire tomorrow's professionals who share a personalised and transformational student experience. Shape the Future of Medical Education at Bond University At Bond University, we’re redefining what exceptional medical education looks like—and we’re looking for passionate educators and clinical leaders to help us take the next bold step. As we expand our Medical Program, we are inviting dynamic, forward-thinking professionals to join a team committed to innovation, partnership, and truly student-centred learning. Whether you come from a medical or non-medical background, if you’re energised by the idea of transforming the clinical learning experience, we want to hear from you. Professor | Associate Professor | Assistant Professor - Bond University Medical Program Academic Director of Clinical Placements | Advanced Clinical Skills Program | Clinical Placement Coach Program | Hospital Engagement & Partnerships Full-time or Part-time | Continuing appointments available Join Australia’s top university for teaching* and enjoy staff benefits including:  Free staff car parking Up to 18/26 weeks of parental leave# Salary packaging options for FBT and Non-FBT items# Annual leave loading for continuing and fixed term Academic staff Staff wellbeing program Free & Confidential Employee Assistance Program available for all staff Study assistance for staff and dependants# Corporate health and finance discounts Onsite Medical Centre and Counselling Services Onsite Sports Centre including gym, fitness classes and pool# Interstate relocation support may be considered. About the Positions: We are seeking suitably qualified candidates with expertise in clinical education, curriculum delivery, and the governance of workplace-based learning environments. Applicants may come from medical or non-medical professional backgrounds, aligned to the requirements of each role. A strong record of stakeholder engagement, professional communication, and the ability to build and sustain collaborative relationships with health service partners will be essential. Our distinctive Clinical Placement Coach model, strong student focus, and commitment to excellence make Bond a uniquely rewarding environment for those who want to contribute to the next generation of medical graduates. The portfolio includes senior leadership opportunities, notably the Academic Director of Clinical Placements (Professor/Associate Professor), responsible for advancing domestic and international placement partnerships and contributing to accreditation sustainability. Multiple Assistant Professor (A/B) positions are also available, supporting the Advanced Clinical Skills Program, the Clinical Placement Coach Program, and broader hospital engagement activities. Academic Director of Clinical Placements (Professor / Associate Professor) Lead the strategic growth of domestic and international clinical placement partnerships, and play a key role in accreditation, program sustainability, and educational excellence. Assistant Professors (Level A & B) Multiple positions supporting: Advanced Clinical Skills Program Clinical Placement Coach Program Hospital Engagement & Partnerships With flexible FTE arrangements, roles can be shaped around the strengths, expertise, and aspirations of exceptional candidates. About the person Ideal applicants will demonstrate a deep understanding of contemporary clinical practice, medical student learning in workplace environments, and the complexities of interprofessional and interdisciplinary collaboration. A strong commitment to scholarly engagement—including reflective practice, evaluation, and contributions to medical education research—is expected. Experience in assessment design, curriculum innovation, and maintaining academic standards within higher education will be highly regarded. We welcome individuals who bring: Experience in clinical education or work-integrated learning Strength in communication, engagement, and relationship-building Insight into health service environments Passion for developing clinical skills and enhancing student learning Commitment to scholarly practice, reflective teaching, and educational innovation These appointments offer an opportunity to contribute to an ambitious, student-centred program and to play a significant role in advancing Bond University’s distinctive and innovative approach to clinical education. Whether you are a current clinician, an experienced academic, or an educator with deep understanding of clinical learning environments, this is your opportunity to make a meaningful and lasting contribution. Help shape an ambitious, future-focused medical program—and inspire the next generation of medical practitioners. Salary details The salaries for these positions are outlined below and will be negotiated commensurate with skills, qualifications, and experience and attract 12% superannuation* per annum. A clinical loading may be applied as appropriate. Salary packaging options are available. Bond University Academic Australian Public Sector Descriptor Salary (base) Professor Professor (Level E)  221,723.17 Associate Professor A Associate Professor (Level D) 189,734.53 Associate Professor B Associate Professor 173,197.62 Assistant Professor A Senior Lecturer (Level C) 165,010.96 Assistant Professor B Lecturer (Level B) 138,836.18 *Superannuation increased to 17.5% after successful completion of a 2-year probationary period The Selection Panel will make the determination for the level of appointment. Additional information Please review the relevant Position Descriptions and Selection Criteria for further details regarding these appointments. Professor Position Description (Balanced Research / Teaching) Associate Professor A Position Description (Balanced Research / Teaching) Selection Criteria – Academic Director of Clinical Placements Assistant Professor A Position Description (Balanced Research / Teaching) Assistant Professor A Position Description (Teaching Focused) Assistant Professor B Position Description (Balanced Research / Teaching) Assistant Professor B Position Description (Teaching Focused) Selection Criteria for Multiple Positions Bond University will be supported in its search for this appointment by the executive search firm, The Insight Group. For a confidential discussion about this opportunity or to apply, please contact Dr. Rohan Carr or Ms. Emily Witts at The Insight Group via applications@insightgroup.com.au or by phone at +61 3 9654 3288. They can also provide a detailed Candidate Information Pack. Application and submission details Please submit your application, including a Resume and a Cover Letter addressing the Selection Criteria outlined in the Position Description directly via applications@insightgroup.com.au. If you require any assistance with your application submission, please contact Dr. Rohan Carror Ms Emily Witts at The Insight Group at applications@insightgroup.com.au  Applications close: 11:59 PM, Sunday, 31 May 2026 Applicants must have current work rights in Australia at the time of application. This status will be verified as part of the recruitment process. Pre-employment checks: Appointment is subject to satisfactory pre-employment checks (including working rights verification, reference checks and a certified copy of your highest qualification). In line with the National Higher Education Code to Prevent and Respond to Gender-based Violence 2025, preferred candidates must complete a Gender-Based Violence (GBV) Declaration, and any offer of employment will be conditional upon the University’s review of the declaration. For more information, please visit our website via this link: Applying for Jobs at Bond Conditions of employment are offered under a Bond Employment Contract (BEC). Bond University is an equal opportunity employer, and we encourage our students and staff to respect individuality, inclusiveness and diversity. In line with Bond University’s values, people from diverse backgrounds, women, Aboriginal and Torres Strait Islander people, people who identify as LGBTIQ+, and people with a disability are encouraged to apply for positions at the University.  Please advise the Talent Acquisition Team if you require any reasonable accommodations to assist you at anytime during the recruitment process.  For more information, visit Supporting diversity at Bond | Bond University | Gold Coast, Queensland, Australia Bond University Privacy Policy #Eligibility criteria or membership fees apply *Australian Financial Review’s Best Universities Ranking 2024

Salary

138,836.18 - 221,723.17

Posted

17 Apr 2026

Doctoral Researcher, Cancer Data Science

UNIVERSITY OF HELSINKI

University of Helsinki

Finland, Helsingfors (Helsinki)

institution

University of Helsinki

Finland, Helsingfors (Helsinki)


University of Helsinki, Faculty of Medicine invites applications for the position of  Doctoral Researcher  in the Cancer Data Science group led by Associate Professor Mariike Kuijjer, at the iCAN Flagship in Digital Precision Cancer Medicine at the Faculty of Medicine, University of Helsinki. The position is funded through a project by the Sigrid Jusélius Foundation titled “Regulatory determinants of metastatic progression in high-grade serous ovarian cancer.” The ideal starting date is summer or early fall 2026, but this is flexible and can be discussed. The appointment is a full-time position and is made for a period of three years with possible extension depending on future funding. Our research The Kuijjer group was established in 2018 at the University of Oslo and expanded to the University of Helsinki in 2025. The group focuses on developing computational and data science approaches to increase our understanding of gene regulation and how rewiring of gene regulatory networks can influence cancer development, progression, and disease heterogeneity. The group's current projects use network science and artificial intelligence to develop tools that (i) integrate multi-modal data, (ii) model gene regulation at increased genomic and cellular resolution, (iii) refine the analysis of genome-wide regulatory networks. The group applies these tools to study various cancer types, including ovarian cancer. For more information, visit kuijjerlab.org. About the roleThe advertised project aims to identify regulatory determinants of ovarian cancer progression through regulatory network modeling and analysis. The selected candidate will apply and extend network modeling approaches developed in the Kuijjer group to model patient- and cell type-specific gene regulatory networks using bulk and single-cell ovarian cancer data. These networks will be analyzed to define patient-specific regulatory heterogeneity in primary ovarian cancer, identify regulatory rewiring that drives metastatic progression, characterize the regulatory mechanisms modulated by therapeutic pressure, and assess how these programs relate to therapy response. The project will leverage various publicly available datasets as well as data from the in-house Oncosys-OVA study led by our collaborator Prof. Anniina Färkkilä, University of Helsinki. Overall, the project combines methodological development with biological discovery, offering opportunities to contribute both to computational innovation and to mechanistic insights into ovarian cancer progression. The candidate We seek a highly motivated candidate with strong computational skills in the field of high-throughput omics data analysis, comparative genomics, functional genomics, or related fields. The candidate is excited about applying computational tools to answer questions in cancer research. They are collaborative and creative, and have strong programming skills dedicated to the analysis of large-scale genomics data. Experience with the analysis of omics data is required for this position. Knowledge of cancer biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and/or gene regulation is desirable, but not required.  The position is open to applicants with a Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. Candidates who are finishing their Master's thesis are also welcome to apply. They should mention the expected date of their defense and steps that need to be completed to finish their thesis in the cover letter. Qualification requirements Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or a related field. Applicants with a background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong advantage Experience with genomic data integration, biological network analysis, and/or gene regulation is an advantage Experience with high-performance computing is desirable Strong analytical and problem-solving skills Teamwork skills and the willingness to collaborate, share ideas, and contribute to a multidisciplinary research environment spanning Helsinki and Oslo Strong communication skills in English, with both written and verbal proficiency The appointee should either already have the right to pursue a doctoral degree at the University of Helsinki by the start of the appointment or apply for the right and obtain it within the probationary period of six months of their appointment. If the candidate does not already have the right to pursue a doctoral degree at the University of Helsinki, it must be applied for separately: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell. The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. The chosen applicant is expected to reside in Finland while employed by the University of Helsinki.What we offer A salary of 2600 – 2800 €/month depending on the candidate's qualifications A professional, stimulating working environment The University of Helsinki also offers comprehensive services to its employees, including occupational health care and health insurance, unemployment and pension fund, a generous holiday package, sports facilities, and opportunities for professional development: https://www.helsinki.fi/en/about-us/careers. How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button. Internal applicants (i.e., current employees of the University of Helsinki) submit their applications by using the Employee Login button. The application must include: A cover letter, stating your motivation, scientific background, documented experience with large-scale genomic analyses, and research interests A detailed CV with a list of publications and other research output, if applicable 2-3 references (name, institution, e-mail, telephone number, and relation to the candidate) These should be uploaded in .pdf format. Applicants may also upload their Master’s thesis or other representative research work, if available. Please submit your application through the web-based recruitment system linked in the announcement. Although the recruitment system includes a basic CV, we ask candidates to also include a separate, detailed CV in .pdf format with their application. Applications without a cover letter and/or detailed CV will not be considered further.  The closing date for applications is 31.5.2026. Inquiries about the position can be directed to Mariike Kuijjer: mariike.kuijjer@helsinki.fi. If you need technical support with the recruitment system or additional information about the application process, please contact HelsinkiUni Help, uni-help@helsinki.fi.  About us The University of Helsinki (UH), founded in 1640, is a vibrant scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world. It is currently investing heavily in life sciences research. UH offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development.  The Faculty of Medicine promotes high quality scientific research. It provides research-based undergraduate and postgraduate education in medicine, dentistry, psychology and logopedics, and an international Master's Program in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities, the Faculty serves as a significant expert organization in the healthcare sector and contributes to the discourse on ethics in the field. The Faculty aims to be one of the best medical research faculties in the world, while rein-forcing its status as a distinguished institution of multidisciplinary education in healthcare.  The Faculty of Medicine at the University of Helsinki constitutes the academic medical center together with HUS Helsinki University Hospital and the Helsinki Institute of Life Science (HiLIFE). This medical center has been successful in international comparisons, ranking among the top 10 medical campuses in Europe and the top 50 globally. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

Salary

2600 – 2800 €/month

Posted

17 Apr 2026

Research Fellow / Research Engineer (Biosensor and Microbial Detection) - JP2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the rapid detection of microbial bioburden in biopharmaceutical cleaning validation using a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform. Responsibilities include next-generation sequencing (NGS), qPCR-based molecular assays for microbial quantification and aptamer validation, and experimental support for aptamer discovery targeting environmental microorganisms listed in the US Pharmacopeia. Key Responsibilities Technical Responsibilities Perform microbial community characterization using next-generation sequencing (NGS) platforms such as Illumina sequencing or Oxford Nanopore sequencing.  Design and perform qPCR-based molecular assays for microbial quantification and aptamer validation. Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation.  Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification, and molecular characterization. Perform routine molecular biology techniques such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification. Maintain accurate laboratory records and experimental documentation. Research & Project Responsibilities Plan and execute experimental workflows to support project milestones related to microbial detection and biosensor development. Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples. Work collaboratively with project investigators and interdisciplinary teams to integrate sequencing and molecular biology results with biosensor development. Prepare technical reports and contribute to scientific publications, presentations, and project documentation. Support generation of experimental data required for project validation and milestone reporting. Operational Responsibilities Ensure laboratory compliance with Work Safety and Health (WSH) regulations and institutional safety guidelines. Manage procurement and inventory of molecular biology and sequencing consumables. Maintain laboratory equipment used for molecular biology and sequencing workflows. Mentorship Support training of junior researchers, research assistants, and students where required.  Contribute to knowledge sharing within the research group. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Essential Bachelor’s degree in Molecular Biology, Microbiology, Biotechnology, Bioengineering, or a related field. Possessing a Master’s or PhD degree will be advantageous Hands-on experience with next-generation sequencing technologies, such as Illumina or Oxford Nanopore sequencing platforms including sequencing library preparation Demonstrated experience working with environmental or low-biomass microbial samples. Demonstrated experience with DNA extraction and PCR amplification Demonstrated experience performing qPCR assays for nucleic acid quantification and molecular analysis, including troubleshooting Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems. Strong laboratory skills in molecular biology techniques. Preferred  Familiarity with microbial community sequencing workflows such as 16S rRNA sequencing or metagenomic analysis. Demonstrated experience with bioinformatics tools for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis).  Demonstrated experience working in interdisciplinary or industry-linked research projects. Key Competencies Strong experimental design and troubleshooting skills in molecular biology.  Ability to independently conduct laboratory experiments and manage datasets. Strong scientific communication skills, including technical reporting and presentations. Ability to collaborate effectively with multidisciplinary research teams. Good organizational and project management skills.

Salary

Competitive

Posted

17 Apr 2026

Research Fellow / Research Engineer (AI for Civil Engineering) - MM1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met. Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders. Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor.  Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development). Experience in handling real-world datasets and model development/deployment workflows. Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage. Strong background in structural engineering, structural mechanics, or steel structures. Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams. Strong analytical and conceptual abilities; able to work both in a team and independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Salary

Competitive

Posted

17 Apr 2026

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Subjects Taught at Chalmers University of Technology

See below for a range of subjects taught at Chalmers University of Technology

Arts and Humanities

  • Architecture

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Life Sciences

  • Biological Sciences
  • Sport Science

Medical and Health

  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy