Theses and Jobs

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Your Thesis

If you are an MSc, BSc, PhD, or a postdoctoral student who would like to collaborate with our lab on your research project or conduct an internship with us, you are on the right page! Please study our ongoing projects in the lab and pre-define your own sub-projects depending on your expertise, interests, the timeline, and the ambitions of the scientific contributions depth you wish to achieve in your project.

  • BSc: Usually expects a focused, well-defined project. Scope should be narrow and feasible within the given timeline. You are expected to apply existing methods rather than develop new ones.
  • MSc: A more independent and methodologically solid project. You should be able to propose your own sub-question within an existing research line and demonstrate analytical depth.
  • PhD: A research-driven, novel contribution aligned with ongoing projects. You are expected to define your own research direction, justify its relevance, and engage with collaborators more independently.
  • Internship / other: Scope depends on duration and background. Align the project with your technical skills and learning goals.

Collaborations between the QoL Lab, clinical partners (HUG), industry partners and international organizations, as well as other stakeholders in the well-being, health, and quality of life domain, are implied. An international visit abroad – to spend some time with the project collaborators is always an option. To start, please read about our ongoing projects and review the list of past theses from the lab. When you are ready, draft your own sub-project idea. Then answer all the questions in the “Your Turn” section below. After receiving your email, we will review your proposal and schedule a discussion with you. Improve behavior, health, and life quality for everyone, one project at a time!

Your Turn

Please answer all questions below. Use as much or as little detail as you find appropriate. Answer all questions regardless of your level. The answers should be returned via email to Prof. Katarzyna Wac. We reserve the right to be unimpressed if you cannot follow these simple instructions. We also encourage projects in teams, so if you have a friend or two who are interested, you can write a thesis together and join forces to improve health for everyone!

Questions
Q1: What is your study line (if this question applies to you)? What is the scope of the project you are looking for: PhD, MSc, BSc, internship, or other?
If applicable: Do you have financial support for the project, or do you look for a paid position (check our jobs for openings)?
If applicable: What is the deadline you need to apply to get financial support for the project?
Q2: What is the timeline for the project itself (START, STOP)?
Q3: List your programming experience (e.g., standard machine learning libraries (e.g., sk-learn, pandas, PyTorch, and TensorFlow/Keras) and/or data visualization software (e.g., Plotly, Seaborn, Matplotlib)). List any other programming experience that you consider relevant for your project.
Q4: List your math courses & skills
Q5: List other skills that you consider relevant for your project
Q6: What is the best class you have taken at CUI/DIKU/Your University* and why?
Q7: What is the worst class you have taken at CUI/DIKU/Your University* and why?
Q8: What QoL research project interests you the most and why? What would you like to propose as your own project? Prepare a short description (5–10 sentences) of the topic you would like to explore, how it connects to our ongoing projects, and what skills you plan to use or develop.
Q9: What grade do you aim to receive for your project and why? (if the project is graded)
Q10: Please attach your up-to-date CV (and publication list, GitHub link, and other resources that you consider relevant for your project).

*depending on where you are based: UNIGE/CUI, UCPH/DIKU, or other universities.

Email: katarzyna.wac@unige.ch

p.s. Above instructions are totally inspired by Prof. S. Lehman, DTU, DK.

Past and Ongoing Theses

Below find the list of the past and ongoing theses in our lab. You can also read an interesting ‘Medium” (2019) article mentioning our lab How to be Agile when writing your Master Thesis.

 

Daily Behavior And Atmospheric Environment Relationship With Affective States And The Impact On Quality Of Life

Centre Universitaire d’Informatique, University of Geneva, Switzerland

Predicting Risk of Glucose Variability from Wearable Datasets

Geneva School of Economics and Management, University of Geneva, Switzerland

Designing an End-to-End Infrastructure for Collecting, Storing and Visualizing Wearable Data to Monitor Health and Quality of Life. The Migraine Study Case

Geneva School of Economics and Management, University of Geneva, Switzerland

Inconsistencies Between Self-Reported and Wearable-Collected Data: Assessing Accuracy and Impact in Migraine Tracking

Centre Universitaire d’Informatique, University of Geneva, Switzerland

Exploratory Data Analysis and Predictive Modeling of Migraine Attacks and Quality of Life: Physical Activity, Sleep, and Stress Patterns

Centre Universitaire d’Informatique, University of Geneva, Switzerland

Exploring Pain Triggers and Relief Mechanisms for Migraine Sufferers through NLP and Classification Analysis

Geneva School of Economics and Management, University of Geneva, Switzerland

Use of Personal Mobile Technologies for Peer-based Assessment of Stress

Centre Universitaire d’Informatique, University of Geneva, Switzerland

Personalized Federated Learning Methods for Migraine Forecasting: An Exploratory Approach

Geneva School of Economics and Management, University of Geneva, Switzerland

Modelling the Progression of Migraine Attacks: A Bayesian Hierarchical Approach

Geneva School of Economics and Management, University of Geneva, Switzerland

Resource Management In The Emergency Department Of A Hospital From A Business Analytical Point Of View

Geneva School of Economics and Management, University of Geneva, Switzerland

Designing for Participation in Longitudinal Health and Well-being Studies

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

ConsistencyQoL – A Framework For Modelling Consistency In Behavioural Data Collected With Wearables

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Design and Behaviour Factors to Consider When Designing a Gamified Running Application

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

Evaluating Respiratory Measurement of a Tri-axial Accelerometer

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Engaging Participants in the Recruitment Phase of Human Subject Health Studies – mQoL-chat: a Chatbot Approach

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

 

 

Tracking Back the Self-Trackers: A Study Of The Quantified-Self Community

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

mQoL-iOS: Enabling Peers Assessment in-Situ in iOS-based Mobile Human Studies

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

mQoL-web: Cross-platform Peer-MA design and implementation

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Mobile Quality of Life Lab: Towards Improving Sleep Health for Everyone with mQoL-Sleep

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Expeer – Implementing Trust In A Digital Car-Sharing Service

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

Lifestyle-Based Chronic Disease Risk Assessment

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Exploring Data From Wearable Trackers (Fitbit) In Prediction Models For Implantable Cardioverter-Defibrillator (ICD) Patients – A Mixed Method Approach

Department of Health Informatics, University of Copenhagen, Denmark

GiFTER – Experiencing Giving and Receiving Gifts ‘On the Go’

Department of Media, Cognition and Communication, University of Copenhagen, Denmark

Diabetes Risk Assessment Based on Physical Activity and Sleep Duration Using Wearable Trackers

Department of Bioinformatics, Faculty of Science, University of Copenhagen, Denmark

Understanding Factors Influencing Loneliness and Corresponding Quality Of Life via Interviews, Smartphone Sensing and Data Modeling

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Supportive Learning During Lectures Using Mobile Services

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark | The Mobile App: Student Version Teacher Version

Factors Influencing Individual’s Sleep Quality and Quantity

Faculty of Humanities and Faculty of Science, University of Copenhagen, Denmark

Automated Ambulatory Detection and Prediction of Condition Worsening in Chronic Care

Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark

Pervasive Services for Elderly with Mild Cognitive Impairments: Requirements and Design Implications

University of Geneva, Switzerland

Activity Level Estimator

University of Geneva, Switzerland

Capturing and interpreting Human Emotional States with an emo-BAN – A Feasibility Study

University of Twente, the Netherlands

Location-time Based TCP Delays Measurements for PocketPC

University of Geneva, Switzerland

Mobile User’s Location Prediction Study

University of Geneva, Switzerland

Performance Measurements, Designing a Generic Measure and Performance Indicator Model

University of Geneva, Switzerland

Equivalent Queue Model Capturing End-to-End Performance in Mobile Networks

Vrije University, the Netherlands (stay at the Blekinge Institute of Technology, Sweden)

Monitoring of End-to-End delay and Throughput in a UMTS Network

Vrije University, the Netherlands (stay at the Blekinge Institute of Technology, Sweden)

Development of the Location- and Time-Specific Context-Information Source

University of Geneva, Switzerland (stay at the University of Twente)

MobiVTag – A First Development

University of Geneva, Switzerland

Where is European’s Wireless Going?

University of Geneva, Switzerland